Category: Article

  • Why Cybersecurity in the Global South Can No Longer Be Ignored

    Why Cybersecurity in the Global South Can No Longer Be Ignored

    What happens when a single phone call disrupts an entire airline’s customer trust? The recent Qantas breach wasn’t some exotic zero-day exploit. It was a human failing, a voice phishing (vishing) attack that unraveled layers of tech protection with nothing more than carefully chosen words.

    If a digitally mature country like Australia can fall prey to such tactics, what does this mean for developing nations rushing headlong into digital transformation? Welcome to the cybersecurity paradox of the Global South, where digital innovation races ahead while human-centric security lags dangerously behind.

    This isn’t just a tech problem. It’s a human challenge. One that requires new strategies, local resilience, and collective awareness. And the time to act? Now.

    The Digital Transformation Tipping Point

    Digital Progress, Real-World Impact

    Across Africa, Southeast Asia, and Latin America, digital technologies are accelerating socio-economic transformation:

    • Mobile banking continues to reach unbanked populations. In Sub-Saharan Africa alone, mobile broadband connections surpassed 500 million by 2023, enabling rapid financial inclusion.
    • E‑governance is streamlining bureaucracy and boosting transparency. In early 2025, Sri Lanka launched GovPay, a national digital payment system for public services, with plans to scale it across dozens of government agencies.
    • Smart agriculture powered by IoT and AI is helping farmers monitor soil, weather, and yields more effectively—particularly in Asia and parts of Africa.

    These systems are no longer just convenient, they’ve become critical infrastructure.

    But with progress comes risk. According to a June 2025 INTERPOL report, two-thirds of African countries now rank cybercrime, including phishing, ransomware, BEC fraud, and sextortion, as one of their top three criminal threats. Attacks on public infrastructure have increased, with incidents like the breach of Nigeria’s public service database and cyberattacks targeting government platforms in Kenya.

    Growth Breeds Vulnerability

    Every new digital touchpoint becomes a potential entry point for cyber threats. And unlike physical infrastructure, cybersecurity isn’t immediately visible until it fails.

    Analogy: Building a smart city without cybersecurity is like constructing skyscrapers without elevators that lock: accessible, efficient… and wide open to theft.

    The Triple Bind: Why the Global South Faces Unique Cyber Challenges

    1. Insufficient Cybersecurity Infrastructure

    Many small businesses and public agencies continue to rely on outdated systems:

    • Unsupported operating systems
    • Free (and often inadequate) antivirus tools
    • Basic or shared password policies

    Real-world result (2024): A detailed study published in January 2025 found Nigeria lost nearly $500 million due to ransomware linked to weak cybersecurity, poor password policies, and organizational gaps, highlighting vulnerabilities in both businesses and public agencies.

    2. Public Unawareness of Digital Threats

    What’s the harm in clicking that SMS link? In many cases, the public isn’t taught to question digital interactions:

    • Identity theft via Facebook messages
    • Fake loan apps stealing banking credentials
    • WhatsApp scams posing as relatives in distress

    3. Underfunded Regulatory Ecosystems

    Even when laws exist, enforcement is often weak:

    • Cybercrime units lack tools and training
    • International cooperation is limited
    • Data protection laws are vague or outdated

    Calculation: According to the World Economic Forum, cybercrime is now the world’s third-largest ‘economy’, causing roughly $9 trillion in annual damages in 2024—and projected to hit $10.5 trillion by the end of 2025.

    The Psychology of Social Engineering: The Breach That Bypasses Code

    How a Phone Call Outsmarts Firewalls

    The Qantas breach relied on vishing: a fake internal call that tricked an employee into revealing credentials. No malware. No hacking tools. Just trust manipulation.

    This is why social engineering remains so effective:

    • Fear: “Your account has been compromised. Act now!”
    • Urgency: “We need this data in the next 5 minutes.”
    • Authority: “I’m from the IT department.”

    Why the Global South Is at Higher Risk

    Digital newcomers often:

    • Trust official-looking messages
    • Share devices among family members
    • Lack awareness of threat patterns

    Example: In rural Indonesia, a government-issued health app was mimicked by a phishing campaign, compromising patient data across multiple provinces.

    Reframing Cybersecurity as a Development Issue

    It’s Not a Luxury. It’s a Foundation.

    Cybersecurity is often seen as a “nice to have” rather than a development essential. But here’s what’s at stake:

    • Digital identity fraud halts access to services
    • Financial scams bankrupt small businesses
    • Infrastructure breaches compromise public trust

    Rhetorical question: Can we truly call a nation “digitally developed” if it can’t defend its own data?

    Four Human-Centric Strategies for Resilience

    1. Human-Centered Security Education

    It’s not about teaching people to use software. It’s about teaching them to question it.

    A. Recognizing Phishing Attempts

    • Watch for poor grammar, strange URLs, urgency cues
    • Always verify requests for personal information

    B. Understanding Privacy Basics

    • What data apps collect and why it matters
    • How to enable 2FA and manage account permissions

    C. Knowing When to Report

    • Create simple, well-publicized reporting pathways
    • Incentivize communities to share suspicious activities

    Real-world analogy: Just as communities learn to spot fake bills, they can learn to detect digital scams.

    2. Public-Private Cyber Partnerships

    Government and business must join forces. Why?

    • Telcos can block known phishing domains
    • Fintechs can implement stronger identity verification
    • Startups can innovate local security tools

    3. Regionally-Relevant Cyber Policies

    Global copy-paste laws don’t work.

    What’s Needed:

    • Data protection tailored to informal economies
    • Language-accessible rights documentation
    • Legal frameworks for reporting and remediation

    Provocative point: In many rural communities, WhatsApp isn’t just a chat app, it’s the primary marketplace. For example, a 2024 Meta‑GWI survey found that 55% of small-town consumers in India used WhatsApp during their purchase journey, with over 95% of them being active users, demonstrating how vital messaging apps have become for commerce. A generic GDPR-style policy means little in places where “a village’s economy lives in WhatsApp groups.” These platforms often lack formal oversight and consumer protection mechanisms, creating friction between legal frameworks and everyday reality.

    4. Investing in Cyber Talent Locally

    Bootcamps, Scholarships, and Mentorships

    • Train ethical hackers and analysts within the community
    • Reduce brain drain by creating local opportunities

    Programs powered by AI-driven orchestration platforms like Brahma Fusion by Peris.ai can reduce response times and streamline triage workflows—even for lean security teams.

    Cybersecurity and Sustainable Development: A Link Too Vital to Miss

    Trust Fuels Digital Progress

    If users don’t trust a platform, they won’t use it. No users means no adoption, which means development stalls.

    Breaches Affect More Than Data

    A single breach in a mobile agriculture app can:

    • Wipe out crop forecasts
    • Disrupt entire supply chains
    • Leave smallholder farmers in crisis

    Cybersecurity is no longer optional, it’s humanitarian.

    Frequently Asked Questions (FAQ)

    What Is a Human Firewall?

    A human firewall refers to the education, awareness, and behavior of individuals that serve as the first line of defense against cyber threats like phishing, social engineering, and scams.

    Why Is the Global South More Vulnerable?

    Due to rapid digitization, limited infrastructure, low digital literacy, and lack of funding for cybersecurity initiatives, countries in the Global South face disproportionate risks.

    Can Local Governments Afford Cybersecurity?

    Yes, especially with scalable and cost-efficient platforms like Brahma Fusion by Peris.ai, which uses automation and AI to reduce costs while increasing incident response capabilities.

    How Can Individuals Protect Themselves?

    • Learn to identify suspicious links and messages
    • Use strong, unique passwords with 2FA
    • Report cyber incidents to official channels

    What Role Do Private Companies Play?

    Private firms have both a responsibility and opportunity to:

    • Secure their platforms
    • Partner with governments on awareness campaigns
    • Innovate solutions tailored for local contexts

    Conclusion: Toward a Digitally Safe Future for All

    The Global South isn’t waiting for transformation, it’s already here. From digital payments to smart farming, the region is poised to leapfrog traditional development paths. But that leap must land on secure ground.

    Cybersecurity is not just a technical discipline. It’s a societal one. It’s a developmental one. And most importantly, it’s a human one.

    Let us treat it that way.

    Learn how platforms like Brahma Fusion by Peris.ai empower lean security teams in emerging markets to automate triage, scale incident response, and build trust where it matters most.

    Want more insights? Visit Peris.ai for real-world cybersecurity solutions built for today’s digital frontline.

  • Bridging SOC and DevSecOps with Peris.ai’s AI-Powered Automation Layer

    Bridging SOC and DevSecOps with Peris.ai’s AI-Powered Automation Layer

    Today’s enterprise cybersecurity landscape is fractured. Security Operations Centers (SOCs) focus on detecting and responding to incidents. DevSecOps, meanwhile, integrates security into every phase of the development lifecycle. They both serve the same mission of protecting the business but operate with different tools, workflows, and KPIs.

    The result? Silos. Delayed responses. Alert fatigue. And worst of all—missed opportunities to stop threats before they escalate.

    This article dives into how Peris.ai’s AI-powered Automation Layer unifies these two critical functions, enabling faster response times, smarter prioritization, and true cross-functional collaboration.

    SOC vs DevSecOps: Different Worlds, Same Mission

    Focus

    • SOC: Real-time incident detection & response
    • DevSecOps: Secure and fast software delivery

    Toolset

    • SOC: SIEM, EDR, XDR, IRP
    • DevSecOps: SAST, DAST, IaC, container security

    Challenges

    • SOC: Alert fatigue, manual triage, burnout
    • DevSecOps: Patch delays, compliance burden, tool sprawl

    Key Metrics

    • SOC: MTTD, MTTR, threat containment
    • DevSecOps: Deployment velocity, vulnerability resolution

    Despite overlapping goals, these teams often duplicate efforts, speak different “security languages,” and rely on disjointed tools.

    What Happens When They Don’t Sync?

    1. Delayed Remediation

    SOCs detect an issue, but getting DevSecOps to fix it—whether in code or infrastructure, can take weeks. This increases threat dwell time.

    2. Fragmented Context

    Threat intel, indicators of compromise (IOCs), and asset criticality are interpreted differently by each team, slowing down decisions.

    3. Tool Overload

    Multiple dashboards, redundant scans, and a lack of shared visibility compound inefficiencies and create inconsistent security postures.

    4. Team Fatigue

    SOC analysts face noisy alerts. DevSecOps engineers face a firehose of compliance demands. Both suffer, neither wins.

    Why a Shared Automation Layer Changes EverythingConnects Disparate Tools

    Connects Disparate Tools

    Integrates SOC tools (EDR, XDR, NVM) with DevOps systems (CI/CD pipelines, Git, Jira, K8s), transforming detection into action.

    Enables Real-Time Feedback Loops

    When SOC identifies a misconfiguration, a contextual task is instantly pushed into the developer’s backlog, mapped to the actual repo, pipeline, or resource.

    Unifies Visibility

    Cross-team dashboards surface incident timelines, asset ownership, risk scores, and patch status, aligned to business context.

    Prioritizes What Matters

    Peris.ai’s automation filters noise, enriches alerts, and scores incidents based on impact—reducing unnecessary escalation and alert fatigue.

    How Peris.ai Bridges SOC & DevSecOps

    Peris.ai’s Automation Layer uses agentic AI to automate decision-making, streamline collaboration, and eliminate silos.

    AI-Driven Case Management

    Unifies SOC tools (XDR, EDR, NVM) into one intelligent system that reduces analyst workloads and routes alerts contextually.

    Native CI/CD & Issue Tracker Integration

    Auto-assigns vulnerabilities to developers in GitHub, GitLab, or Jira, mapped to specific builds, IaC files, or containers.

    Central Asset Intelligence

    Maintains a real-time asset knowledge base, tying IOCs and incidents to specific business-critical systems.

    Smart Automation Playbooks

    Orchestrates detection → triage → remediation with fully customizable workflows that adapt across functions.

    Related Solution: See how Peris.ai IRP streamlines security operations and connects SOC and DevSecOps workflows.

    What You Gain from Bridging the Gap

    Faster MTTR

    • Alerts resolved in hours, not days

    Full Alert Context

    • Devs know why a fix matters and where it fits

    Less Burnout

    • Fewer false positives and manual escalations

    Stronger Compliance

    • Easier audits and evidence trails

    Better Collaboration

    • Clearer roles, reduced friction, higher accountability

    Ready to Unify Your Teams?

    If your security and development teams still operate in silos, you’re leaving your business exposed. Peris.ai enables:

    • Seamless cross-team workflows
    • AI-augmented threat detection and triage
    • Context-aware alert routing
    • DevSecOps collaboration with minimal friction

    You don’t need another tool. You need the intelligence layer that connects everything.

    Final Thought: Secure Together, Not Alone

    In cybersecurity, speed matters but alignment matters more.

    By implementing a unified automation layer powered by Peris.ai, organizations eliminate wasted time, reduce alert fatigue, and foster a culture where security is everyone’s job.

    Let your teams do what they do best while Peris.ai orchestrates the rest.

    Explore the Peris.ai Automation Layer → https://brahma.peris.ai/ The fastest way to bridge your cybersecurity and development functions before the next breach hits.

  • Streamlining Case Management Across XDR, EDR, and NVM with Peris.ai IRP

    Streamlining Case Management Across XDR, EDR, and NVM with Peris.ai IRP

    Security Operations Centers (SOCs) today face a critical overload of data. Modern organizations rely on multiple cybersecurity tools—XDR for detection, EDR for endpoint telemetry, and NVM for deep network visibility. Each produces floods of alerts, logs, and indicators.

    Yet these systems rarely speak the same language.

    Most case management relies on disjointed dashboards, spreadsheet tracking, and generic SIEM alerts. The result? Security teams waste time switching tools, correlating alerts manually, and duplicating investigations. These fragmented workflows weaken your response and overburden your analysts.

    SOC automation isn’t just a luxury—it’s a survival strategy.

    How Poor Case Management Hurts Your SOC Efficiency and Security

    Fragmented Workflows

    Different tools for every security layer:

    • EDR handles endpoint behavior
    • NVM monitors traffic anomalies
    • XDR correlates user activity
    • Cloud and SaaS logs pile on separately

    But they don’t unify incident tracking, triage, or collaboration.

    No Unified Incident View

    Analysts are forced to manually correlate:

    • IPs in NVM logs
    • File hashes from EDR
    • User logins from XDR …without asset priority or timeline clarity.

    Context Gaps Lead to Missed Threats

    Most cases lack:

    • Business asset classification
    • Threat actor profiles
    • MITRE mapping
    • Behavioral context

    Slowed MTTR, Rising Burnout

    Without centralized triage:

    • Triage is reactive and late
    • Escalation is inconsistent
    • Alert fatigue sets in
    • Case quality varies shift to shift

    The Cost of Poor Case Handling

    • Security Risk: Missed threats, lateral movement undetected
    • Operational Cost: Duplicate effort, slower MTTR, wasted budget
    • Compliance Chaos: Poor evidence trail, failed audits
    • Human Burnout: Alert fatigue, manual overload, low morale

    The equation is simple: Detection without orchestration = chaos.

    What Modern SOC Case Management Should Deliver

    To address modern threats, a case management platform must:

    • Aggregate Multisource Alerts From XDR, EDR, NVM, Cloud, Email—into one intelligent queue.
    • Correlate + Enrich in Real-Time Auto-group related alerts by IPs, users, TTPs, and threat intel.
    • Provide a Unified Incident Timeline Show “what happened, when, and where” across all systems.
    • Enable Role-Based Collaboration Tiered workflows from L1 to IR, task tracking, and comment logs.
    • Offer Centralized Reporting Dashboards for MTTR, MTTD, case types, severity, and response outcomes.

    Introducing Peris.ai IRP: AI-Powered Case Management for SOC Teams

    Peris.ai IRP (Incident Response Platform) connects detection, investigation, and response across the cybersecurity stack—without requiring analysts to jump across platforms.

    Integrated Modules:

    • BIMA XDR: Alerts from cloud, user, and endpoint behavior
    • BIMA EDR: Endpoint and file/process monitoring
    • BIMA NVM: Network visibility down to packet level
    • INDRA CTI: Real-time contextual threat intelligence
    • BrahmaFusion: Automated response playbooks

    How Peris.ai IRP Transforms SOC Workflows

    1. Automated Alert Ingestion & Case Creation

    • Ingests from all detection tools
    • Groups alerts by common asset, attack type, or IOC
    • Pre-populates case severity and tags

    2. Context-Enriched Investigation Views

    • MITRE ATT&CK mapping
    • Asset & user risk scores
    • Threat actor attribution via INDRA CTI
    • Event timeline auto-generated

    3. Unified Console Across Detection Tools

    • View endpoint telemetry, network logs, cloud events, and behavioral anomalies in one case
    • No more tab-switching between XDR, EDR, and NVM

    4. AI-Generated Case Summaries

    Instant answers to:

    • “What happened?”
    • “Who was affected?”
    • “What are the recommended actions?”

    5. Tiered Analyst Collaboration

    • Tasks assigned to L1 → L2 → IR teams
    • Comments, evidence, and actions tracked in one audit trail

    6. Trigger Playbooks Directly in IRP

    • Isolate endpoints, disable accounts, block IPs—with a click
    • Powered by BrahmaFusion’s hyperautomation engine

    Curious how Peris.ai IRP works in action?

    Request a demo and see how unified case management can simplify your SOC workflow.

    Use Case: Detecting Lateral Movement with Unified IRP

    Scenario: Suspicious access inside the finance department

    • Alert from XDR: Unusual RDP behavior
    • NVM detects: Abnormal traffic to a backup server
    • EDR flags: Malicious process chain

    Peris.ai IRP Response:

    • Auto-correlation groups alerts into one case
    • Timeline + CTI enrichment generated instantly
    • IR playbook suggests containment steps
    • L2 picks up with full incident context
    • Containment executed within 15 minutes

    SOC Analyst Workflow Before and After Peris.ai IRP

    ❌ Before IRP:

    • Analysts work in silos
    • High duplication, low insight
    • Every shift resets context

    ✅ After IRP:

    • One case = full context
    • AI summarizes incidents
    • Team collaboration = real-time and traceable
    • MTTR drops, morale rises

    Benefits for the Entire Security Team

    L1 Analysts

    • Smart triage
    • Fewer false positives
    • Clear escalation path

    IR Leads

    • Active case overview
    • SLA tracking
    • Decision history

    CISOs

    • Real-time reporting
    • Visibility into exposure
    • Compliance

    Conclusion: Solve SOC Fragmentation with AI-Powered Case Management

    The real failure point in modern SOCs isn’t detection—it’s disconnected response. Peris.ai IRP unifies your ecosystem across XDR, EDR, and NVM with:

    • Real-time ingestion
    • Context-rich investigation
    • AI-enhanced summaries
    • Human-AI collaboration
    • Workflow automation

    Ready to eliminate alert silos and take control of your incident response? Explore how Peris.ai IRP unifies XDR, EDR, and NVM for real-time, reliable, and resilient case management at www.peris.ai.

  • Reducing Analyst Burnout with Smart Alert Prioritization by Peris.ai

    Reducing Analyst Burnout with Smart Alert Prioritization by Peris.ai

    Behind every detected breach and neutralized threat is a human—often exhausted, overwhelmed, and struggling to keep up.

    Security Operations Centers (SOCs) today are overrun with alert noise, fragmented toolsets, and mounting pressure. Burnout is no longer anecdotal—it’s an operational risk.

    Key Issues:

    • Alert fatigue
    • Manual triage bottlenecks
    • Tool overload
    • Growing detection delays

    It’s no surprise security teams are asking: How do we stay protected without burning out our people?

    Why Alert Overload Breaks Teams (and Security)

    By the Numbers:

    • 70% of analysts describe their job as unsustainable (ESG)
    • 30–35% average turnover in SOC teams
    • Over 50% consider leaving within a year
    • Missed alerts directly correlate to breach likelihood

    A Tier 1 analyst may receive 12,000+ alerts daily, most of which are:

    • False positives
    • Lacking context (no asset priority, user risk, or threat behavior data)
    • Requiring 10–30 minutes of manual triage each

    The result:

    • Decision fatigue
    • Missed true positives
    • Delayed response
    • Analyst burnout

    Why Traditional Prioritization Doesn’t Cut It

    Common Failures:

    • Static Rules: Don’t adapt to evolving threats
    • Volume-Based Filters: Suppress critical data
    • No Business Context: Can’t differentiate a test server from a production database
    • No Analyst-Aware Design: Alerts aren’t distributed based on workload or capacity

    Security tools were designed to detect everything, but without intelligent prioritization, everyone ends up drowning.

    The Organizational Cost of Burnout

    Burnout impacts more than individuals—it degrades your entire security posture.

    • Slower MTTD/MTTR: Attackers dwell longer, undetected
    • Increased Costs: From breaches, errors, and constant retraining
    • Compliance Gaps: Late responses, missed reporting deadlines
    • Negative Feedback Loop: Burnout → delays → more alerts → more burnout

    What Smart Alert Prioritization Should Look Like

    To stop burnout before it starts, your SOC needs smarter signal sorting—not just fewer alerts.

    Key Capabilities:

    • Context-Aware: Factors in asset criticality, user behavior, threat relevance
    • Risk-Based Scoring: Prioritizes alerts with business impact, not just technical severity
    • Adaptive: Learns from previous analyst actions to improve accuracy
    • Human-Centric: Balances workloads, delays non-urgent alerts, groups similar events
    • Feedback-Driven: Improves detection over time with analyst inputs

    The Peris.ai Solution: AI That Prioritizes, So Humans Don’t Burn Out

    Peris.ai’s Agentic-AI SOC Platform delivers real-time prioritization through:

    Auto Triage

    Alerts are instantly categorized by urgency, asset, user risk, and threat context.

    Auto Investigation

    AI performs enrichment and correlation (IOCs, TTPs, behavioral patterns) without manual effort.

    AI Agent Workspace

    A centralized dashboard for:

    • Pattern detection
    • Trend analysis
    • Smart alert bundling
    • Timeline-based visibility

    Centralized Reporting

    SOC leads can:

    • View real-time status by alert category
    • Get AI-driven recommendations
    • Reduce false positives and MTTR

    Human-in-the-Loop Collaboration

    Analysts get:

    • Click-to-run response actions
    • AI-assist recommendations
    • Fewer distractions, more strategic decisions

    Explore how Peris.ai reduces alert fatigue and accelerates incident response.

    Human-Centered Defense: Built for Analyst Sustainability

    You don’t need fewer tools—you need tools that think with you.

    With Peris.ai’s AI-SOC platform:

    • Alert floods are filtered
    • True threats are surfaced
    • Analysts are empowered, not replaced
    • Response is proactive, not reactive

    Your team thrives—not just survives.

    Final Thoughts: Let AI Handle the Noise, So Humans Can Focus on Security

    Cybersecurity doesn’t have to cost people their sanity.

    Peris.ai redefines SecOps through agentic AI, contextual triage, and collaborative intelligence—so your best analysts stay sharp, strategic, and supported.

    Ready to turn burnout into breakthrough? Discover how Peris.ai enables human-AI collaboration for sustainable SecOps

  • Exposing Critical Asset Blindspots: Why You Can’t Defend What You Can’t See

    Exposing Critical Asset Blindspots: Why You Can’t Defend What You Can’t See

    Cyberattacks don’t always start with malware or insiders. Some begin with something simpler and far more dangerous:

    An asset no one knew existed.

    From misconfigured storage buckets to forgotten staging environments, these invisible or unmanaged digital asset, or “blindspots”, pose massive risk. While internal teams overlook them, attackers are scanning for them 24/7.

    This article explores why asset visibility is one of the most overlooked problems in cybersecurity, how blindspots arise, and how teams can reclaim control before attackers take advantage.

    The Asset Explosion and the Chaos It Leaves Behind

    Digital transformation has created sprawling ecosystems of:

    • Cloud-native services and microservices
    • DevOps pipelines and ephemeral environments
    • Remote worker devices and shadow IT
    • Third-party vendor integrations and APIs

    Each layer spawns new assets: IPs, ports, subdomains, credentials, APIs, certificates, and more.

    And most security teams can’t keep up.

    Common Blindspot Scenarios (Even in Mature Companies)

    Blindspots don’t require negligence; just speed and decentralization. Here’s how they form:

    • Test Environments left publicly exposed
    • Microsites launched for marketing and never decommissioned
    • Cloud Instances missed by CMDB and running outdated libraries
    • Third-Party APIs reusing weak credentials

    These aren’t edge cases. They’re the soft targets attackers exploit.

    Attackers Exploit What You Don’t See

    Modern threat actors rely on:

    • Shodan and Censys to find exposed assets
    • DNS brute-forcing to uncover subdomains
    • OSINT to locate leaked data or credentials
    • Automation to scale recon across thousands of targets

    What’s out of sight for you is top of mind for them.

    Why Traditional Asset Management Tools Fall Short

    Tools like CMDBs and spreadsheets can’t:

    • Discover cloud-native or ephemeral assets
    • Monitor the external attack surface
    • Update dynamically across business units
    • Track exposures in real time

    You can’t fix what you don’t know exists.

    The Real Cost of Staying Blind

    Security Risk

    • Missed vulnerabilities = easy entry points
    • No visibility = delayed or no detection

    Financial Loss

    • Average breach cost: $4.45M (IBM 2023)
    • Shadow IT = harder containment and higher fines

    Operational Bottlenecks

    • Slower incident response
    • Compliance reporting gaps

    Reputation and Regulatory Impact

    • Public leaks from unmanaged assets destroy trust
    • ISO, PCI, and NIST increasingly require asset visibility

    Why You Find Blindspots Too Late

    • Most scans look inward, not at what attackers see
    • Teams deploy systems without informing security
    • New assets appear daily through updates, vendors, and DevOps

    Blindspots aren’t static—they’re constantly evolving.

    The Right Way to Solve This

    To reduce attack surface risk, security teams need to:

    • Map External Exposure — not just internal assets
    • Continuously Discover — with automated, attacker-like recon
    • Score by Context — based on severity, exposure, business value
    • Act in Real Time — integrate with incident response workflows

    Peris.ai’s Answer: BimaRed

    BimaRed is more than an asset inventory tool; it’s a live exposure management platform that sees what attackers see and keeps updating.

    Key Features:

    • External asset discovery (domains, APIs, IPs, subdomains)
    • Fingerprinting of tech stack, misconfigs, and CVEs
    • Context-based risk scoring
    • Continuous monitoring
    • Integration with IR, SIEM, and Peris.ai platforms

    Know what’s exposed before it’s exploited

    Visibility Is Your Security Multiplier

    Benefits of prioritized asset visibility:

    • Better pen test results
    • Streamlined audits (SOC2, ISO, NIST CSF)
    • More informed risk decisions
    • Faster containment and remediation

    Security starts with knowing what you have.

    Conclusion: Eliminate Blindspots Before Attackers Exploit Them

    Every moment your digital footprint evolves, so does your exposure. Attackers aren’t waiting for you to catch up—they’re scanning right now.

    Want to see your digital footprint like an attacker? Discover how BimaRed helps expose and eliminate critical asset blindspots—before they become breach headlines.

  • How Peris.ai Uses Hyperautomation to Transform SOC Operations

    How Peris.ai Uses Hyperautomation to Transform SOC Operations

    The average Security Operations Center (SOC) today operates under a paradox:

    • There are more cybersecurity tools than ever before.
    • There is more data than analysts can possibly process.
    • There are more threats than any one team or even software stack can handle alone.

    And yet, most SOCs still rely on manual processes, linear playbooks, and human bottlenecks to triage, escalate, and contain incidents.

    The result? Slower detection. Delayed containment. Mounting pressure. And eventually burnout.

    This is not a tools problem. It’s an orchestration problem.

    SOC Leaders Are Facing a Scaling Crisis, Not a Staffing One

    SOCs aren’t failing because they lack people. They’re failing because the people they have are stuck in repetitive, reactive loops.

    What Today’s SOC Looks Like:

    • Analysts review thousands of alerts per shift, most of them false positives.
    • They jump between 20 to 40 tools to correlate incidents.
    • Containment actions require manual approval workflows.
    • Alert triage takes 30 minutes or more per incident.
    • There’s little to no visibility into the bigger threat picture.

    The modern SOC was never designed to scale in this environment. But the attackers were.

    The Human Cost: Burnout, Turnover, and Gaps in Defense

    The emotional toll is as real as the operational one.

    SOC Analyst Realities:

    • 65% of SOC analysts report symptoms of burnout.
    • Average SOC turnover rate exceeds 30% annually.
    • L1 analysts often leave before they become fully effective.

    Organizations don’t just lose productivity, they lose institutional memory, playbook expertise, and morale. And as threat complexity increases, the experience gap becomes more dangerous.

    Alert Fatigue Is Killing Response Times

    Key Data Points:

    • Enterprises receive an average of 11,000 security alerts per day.
    • Over 70% of alerts are either ignored or investigated too late.
    • Median dwell time for attackers in breached networks is 22 days.

    In short: attackers are moving faster than defenders can respond. And not because defenders aren’t skilled, but because they’re buried in noise.

    Why Traditional SOC Architectures Fail to Scale

    Tool Overload, No Integration

    SOCs rely on a patchwork of vendors. EDR, SIEM, SOAR, firewall, identity systems that often don’t speak to each other.

    Static Playbooks

    Most SOCs use rigid runbooks that don’t adapt to context, business criticality, or real-time threat intel.

    Manual Escalation Chains

    Decisions like isolating a host or revoking access take too many approvals, especially after hours.

    Reactive, Not Proactive

    Teams only respond once a threat becomes obvious—not when it begins.

    What the Modern SOC Actually Needs

    To succeed against modern threats, SOCs must evolve into real-time, AI-assisted, hyperconnected environments where:

    • Signals are prioritized by risk and context.
    • Repetitive steps are automated instantly.
    • Threat intel, detection, triage, containment, and reporting are interconnected.
    • Human analysts focus on critical thinking, not clicking.

    This isn’t possible with dashboards alone. It requires a hyperautomated architecture that turns chaos into clarity.

    What Is Hyperautomation in the SOC?

    Hyperautomation is the strategic use of AI, orchestration, playbooks, data integration, and human-in-the-loop workflows to:

    • Eliminate repetitive tasks
    • Correlate alerts across silos
    • Automate decisions where confidence is high
    • Escalate cases with enriched context
    • Reduce the cognitive load on human analysts

    Core Components of SOC Hyperautomation:

    • Detection + Correlation (via EDR, NDR, cloud logs)
    • Threat Intelligence Enrichment (real-time IOCs, TTPs, attribution)
    • Automated Playbooks (predefined responses based on scenario)
    • Case Management (centralized, audit-ready workflows)
    • Human Escalation (only when machine confidence is below threshold)

    Common SOC Use Cases That Benefit from Hyperautomation

    Suspicious login from unknown country

    • Without Hyperautomation: Wait for L1 analyst review
    • With Hyperautomation: Auto-trigger geoblocking, session reset

    Malware detected on endpoint

    • Without Hyperautomation: Manual ticketing and containment
    • With Hyperautomation: Auto-isolate host, log evidence

    New CVE appears on public feed

    • Without Hyperautomation: Email to patch team
    • With Hyperautomation: Automated asset scan, patch priority scoring

    User downloads malicious file

    • Without Hyperautomation: Analyst Googles hash
    • With Hyperautomation: File auto-sent to sandbox, verdict returned

    Multiple failed logins

    • Without Hyperautomation: Buried in logs
    • With Hyperautomation: Cross-correlated with AD and behavior analytics

    Why Hyperautomation Doesn’t Mean “Hands Off”

    Automation isn’t about removing analysts. It’s about giving them better leverage.

    The Human + Machine Loop:

    • Machines handle what is known, repetitive, and high-volume.
    • Humans handle what is unknown, novel, or risky.

    This collaboration:

    • Reduces errors
    • Speeds up MTTR
    • Creates institutional knowledge that trains future AI models

    Where Peris.ai Comes In

    At Peris.ai, we recognized early that scaling cybersecurity doesn’t mean throwing more humans at the problem.

    It means building systems where:

    • AI learns from humans
    • Playbooks adapt to your environment
    • Tools connect natively and work in sync
    • Response is measured in minutes, not days

    Powered by BrahmaFusion

    Our agentic AI core performs:

    • Alert triage
    • Threat enrichment
    • Containment decisioning
    • Ticket escalation

    Connected Through Peris.ai’s Ecosystem:

    • XDR: Unified detection and correlation
    • NVM: Network visibility and segmentation
    • IndraCTI: Threat intelligence enrichment
    • IRP: Incident response platform
    • Orion: Malware analysis lab
    • BrahmaFusion: SOAR-like orchestration & AI logic

    Real Results:

    • 74% reduction in average triage time
    • 62% faster containment decisions
    • 3.3 minutes median MTTR (from 30 minutes)
    • 44% analyst workload reduction

    Real-World Use Case: Telecom SOC Transformation

    Before:

    • 24/7 team buried in false positives
    • Manual API key revocations
    • Fragmented tools

    After:

    XDR auto-triages alerts

    IndraCTI enriches with dark web context

    Fusion launches playbooks for:

    • Session token revocation
    • Threat actor attribution
    • Reporting to compliance team

    Time to full resolution: 6 minutes Manual effort: < 15%

    What This Means for the Future of Your SOC

    If you want to:

    • Reduce analyst turnover
    • Eliminate missed incidents
    • Lower MTTR and dwell time
    • Strengthen compliance posture
    • Improve executive visibility

    Then hyperautomation isn’t optional—it’s foundational.

    Closing: Turn Your SOC into a Strategic Advantage

    The organizations that survive the next wave of threats won’t be the ones with the biggest budgets, but the ones that can detect, contain, and learn fastest.

    Peris.ai’s hyperautomation platform is built for that reality. It connects your people, processes, and tools with agentic intelligence that scales with your business, not against it.

    Want to see what a hyperautomated SOC looks like in your environment? Visit BrahmaFusion to explore use cases, demo our AI playbooks, or start a pilot in under 14 days.

  • Why Manual Containment Fails and How Peris.ai Automates Response

    Why Manual Containment Fails and How Peris.ai Automates Response

    In the heat of a cyberattack, seconds matter. The question isn’t if you can detect a threat, it’s whether you can contain it before it spreads.

    But for most organizations, manual containment is the bottleneck. Even with a mature security stack, teams often struggle with:

    • Endless approval chains
    • Console-switching chaos
    • Manual validation
    • And time… that they don’t have

    The result? Containment delays that cause ransomware outbreaks, data leaks, and compliance nightmares.

    Manual containment doesn’t scale. And attackers know it.

    Why Traditional Containment Fails at Scale

    The failure isn’t in detection, it’s in response. Let’s break down the root causes:

    Human Bottlenecks

    SOC analysts must review every alert. Even basic containment actions require approvals, slowing everything down.

    Tool Fragmentation

    EDR, IAM, SIEM, cloud, firewalls—none of them talk to each other natively. Analysts jump between consoles.

    After-Hours Blind Spots

    Most breaches escalate on weekends or late nights, when Tier 1 teams lack escalation authority.

    Lack of Automation

    Each incident becomes a custom response. No playbook, no scale, just firefighting.

    No Contextual Prioritization

    All assets are treated equally, even if one is a test server and another a payment database.

    The Real Cost of Containment Delay

    Industry data shows how dangerous delays really are:

    • Average containment time: 4.2 hours
    • Cost increase from delayed response: Over $1M (IBM 2024)
    • Median attacker dwell time: 22 days (Mandiant)
    • 67% of IR professionals say containment is their hardest operational challenge (SANS)

    The business impact is real:

    • Ransomware outbreaks
    • Data exfiltration
    • Downtime and reputational damage
    • Compliance violations
    • SOC analyst burnout

    Real Incidents, Real Consequences

    Healthcare Provider: IoT Malware

    Alert triggered at 2:30 AM → no one acted until morning → malware spread to 17 devices

    Government Agency: Account Takeover

    Password spray succeeded → token remained active for 3 days → internal breach occurred

    Manufacturer: Ransomware Attack

    Endpoint alert ignored as “low risk” → 300+ systems encrypted → operations halted for 72 hours

    What Scalable Containment Should Look Like

    Modern threats require a modern containment model:

    • Real-Time: Actions triggered the moment high-confidence threats are detected
    • Intelligent: Risk scoring considers user identity, asset value, and threat pattern
    • Repeatable: Response playbooks tailored to each attack type and asset group
    • Human-AI Hybrid: Automation handles speed, analysts review high-impact decisions
    • Compliant: Everything is logged, audit-ready, and defensible for regulations

    Peris.ai’s Containment Model: Precision at Scale

    Peris.ai Cybersecurity solves containment delays with an agentic AI + human analyst hybrid model, integrating detection, response, and validation in one unified platform.

    BrahmaFusion Orchestration

    • Automates triage and containment
    • Includes AI-driven playbook builder
    • Offers three modes: fully automatic, semi-automatic, or human-reviewed

    Integrated Across the Stack

    • EDR/NDR: Isolate devices, kill processes
    • Cloud/IAM: Revoke tokens, disable accounts, block geo-based logins
    • Network: Block ports, isolate subnets, change routes dynamically

    Real-Time Threat Intelligence

    • Validates IOCs and threat behavior
    • Enriches detection data with live attacker profiles

    Audit-Ready Tracking via IRP

    • End-to-end incident lifecycle visibility
    • Logged actions for compliance and reporting

    Want AI-driven containment without losing human control? Explore BrahmaFusion

    Why the Hybrid SOC Model Works

    Speed

    • AI Does Best: Acts in milliseconds
    • Analysts Do Best: Validates complex edge cases

    Volume

    • AI Does Best: Processes 10K+ alerts/day
    • Analysts Do Best: Focuses on high-value signals

    Consistency

    • AI Does Best: Executes playbooks 24/7
    • Analysts Do Best: Refines logic, adjusts for nuance

    Recall

    • AI Does Best: Tracks historical threats and patterns
    • Analysts Do Best: Maps to business context and risk

    Automation handles volume and urgency. Humans ensure precision and strategy.

    If This Sounds Familiar, It’s Time to Evolve

    • “Who has access to isolate that host?”
    • “We need to log into three platforms to kill that session…”
    • “We’ll escalate this to IR tomorrow.”

    You don’t need more consoles. You need coordinated action at speed.

    The Future of Containment Now With Peris.ai

    Containment Delay

    • Without Peris.ai: Manual, hours of lag
    • With Peris.ai: AI containment in < 3 minutes

    Tool Overload

    • Without Peris.ai: Disconnected workflows
    • With Peris.ai: Centralized orchestration

    Analyst Overload

    • Without Peris.ai: Alert fatigue
    • With Peris.ai: AI handles L1, analysts own strategy

    Inconsistency

    • Without Peris.ai: Ad hoc response
    • With Peris.ai: Playbook-driven, repeatable workflows

    Compliance Risk

    • Without Peris.ai: Poor tracking or audit logs
    • With Peris.ai: Logged, traceable, audit-ready

    Conclusion: Stop Letting Threats Spread While You Wait

    Containment is no longer a human-only task. It’s a race and automation is your only chance to win.

    With Peris.ai, your analysts don’t get replaced, they get equipped.

    • Agentic AI handles the speed
    • Human analysts bring the strategy
    • The platform ensures it all works together

    Stop letting threats spread, See how Peris.ai enables fast, compliant containment

  • When Your Delivery Becomes a Data Breach: The Real Cost of Leaked Logistics Information

    When Your Delivery Becomes a Data Breach: The Real Cost of Leaked Logistics Information

    Imagine receiving a parcel you never ordered. You open it, expecting a long-awaited online purchase, only to find a bundle of garbage, literally. Torn cloth, stacked newspapers, maybe even food wrappers. Not only is it junk, but it’s also sent to your address with your phone number, your name, and your preferred payment method. How did someone get all that?

    This isn’t fiction. It’s exactly what happened to hundreds of customers of Ninja Express in Indonesia, where a data leak led to fraudulent COD (Cash on Delivery) deliveries filled with trash.

    At first glance, it seems like petty fraud. But the implications go far deeper: data privacy, insider threats, regulatory gaps, and public trust in digital commerce. In an era where your name, address, and purchase history can be weaponized, can you still trust your doorstep?

    Let’s unpack what this means for consumers, logistics providers, and nations in the midst of a digital boom.

    The Anatomy Of The Breach: What Really Happened?

    A Surge Of Suspicious Deliveries

    Ninja Express began investigating after receiving 100 consumer complaints about suspicious COD deliveries. These weren’t minor delivery issues:

    • Parcels arrived ahead of schedule (raising suspicion)
    • Contents were completely unrelated to orders
    • Some contained piles of waste, not products

    Upon deeper inspection, the issue was far worse. 294 COD transactions were deemed fraudulent, all linked by a shared characteristic: consumer data had been compromised.

    Insider Threat In Action

    Investigators discovered the breach originated from a temporary employee at a regional branch office. Although this person lacked direct system access, they gained entry during moments of lax internal control, exploiting a session when an authorized staff member left their workstation unattended.

    From there, they accessed and exfiltrated over 10,000 consumer records, including:

    • Full names
    • Delivery addresses
    • Phone numbers
    • Order types and values
    • Payment preferences (especially COD)

    This data was later used to send fake packages to real customers—packages designed to trigger COD payments.

    Why This Incident Is A Wake-Up Call

    COD As An Exploitable Attack Vector

    In regions where digital payments aren’t yet fully mainstream, COD remains popular. But it also creates a trust gap:

    • Customers pay before inspecting contents
    • Logistics personnel may not verify identity thoroughly
    • Fraudsters rely on haste, not caution

    Real-World Calculation: How Much Damage?

    Let’s assume only 10% of the 10,000 leaked entries resulted in successful frauds. At an average fake COD value of IDR 100,000 (approx. $6.50):

    1,000 x IDR 100,000 = IDR 100,000,000 (~$6,500) in consumer fraud

    Now add reputational damage, investigation costs, customer support hours, and potential lawsuits. The cost isn’t just monetary, it’s about broken trust.

    The Human Factor: Still The Weakest Link

    Despite firewall protections, encryption, and secured systems, this breach happened due to negligence in human behavior:

    • Failure to log out of systems
    • Weak endpoint monitoring
    • No strict access hierarchy

    Rhetorical question: What good is strong encryption if someone can just walk through the front door?

    Breaking Down the Systemic Vulnerabilities

    mec1. Organizational Oversights

    A. Poor Access Control

    • No time-limited logins
    • No device-level monitoring

    B. Inadequate Staff Vetting

    • Temporary or outsourced staff given access to sensitive data

    C. Lack of Internal Audits

    • Delay in noticing 294 irregular shipments

    2. Technical Weaknesses

    A. Inadequate Endpoint Monitoring

    • No alerts when non-authorized sessions access sensitive info

    B. Absence of Session Timeout

    • Systems stayed open when users walked away

    C. Unencrypted Internal Data Access

    • Information viewable in plaintext from internal dashboards

    3. Regulatory and Ecosystem Gaps

    A. No Mandatory Disclosure Law

    • Ninja Express not obligated to notify affected customers immediately

    B. Minimal Penalties for Data Leaks

    • No strong incentive for proactive investment in security

    C. Low Public Awareness

    • Victims unsure of how to report or seek restitution

    How Do We Move Forward? From Panic To Prevention

    Step 1: Harden the Human Layer

    Education and habit-forming are crucial.

    • Mandatory security training for all staff, including temps
    • Session monitoring tools that auto-log users out after inactivity
    • Create a culture of accountability around data access

    Just like everyone learns fire drills, every employee should learn data drills.

    Step 2: Adopt Zero Trust Architecture

    Zero Trust isn’t just for government agencies. Even logistics companies need:

    • Role-based access controls (RBAC)
    • Device-level authentication
    • Audit trails for every data view/download

    Platforms like Brahma Fusion by Peris.ai can orchestrate this across multiple layers by automating policy enforcement and identifying deviations in access behavior.

    Step 3: Transparent Incident Reporting

    Public trust is earned, not assumed.

    • Rapid disclosure builds confidence
    • Helps other companies learn and prevent future incidents

    Governments should:

    • Mandate 72-hour breach disclosure windows
    • Require consumer notification and redress mechanism

    The Broader Impact: When Data Breaches Hit Where It Hurts

    Financial Fraud Is Just The Beginning

    What if the same data were used for:

    • Phone scams, impersonating logistics firms
    • Location-based stalking
    • SIM swapping and mobile banking fraud

    A delivery address and phone number are the keys to identity in the digital economy.

    The Cost of Eroded Trust

    Once consumers lose confidence in digital deliveries, they revert:

    • Fewer online purchases
    • Lower adoption of fintech platforms
    • Preference for in-person transactions

    This stalls e-commerce growth, especially in emerging markets where convenience is often the differentiator.

    Frequently Asked Questions (FAQ)

    What Happened in the Ninja Express Case?

    A temporary staff member exploited a moment of inattention to access over 10,000 consumer records. The data was used to create fake COD deliveries filled with trash, targeting customers who typically pay on delivery.

    Why Is COD Vulnerable to Exploitation?

    Because payment is made before the parcel is opened, scammers rely on confusion, habit, or haste to get money from customers before they realize it’s a scam.

    How Can Companies Protect Against Insider Threats?

    • Implement strict access controls
    • Conduct regular audits
    • Monitor session activity
    • Automate breach detection with solutions like Brahma Fusion by Peris.ai

    Should Companies Report Breaches Immediately?

    Yes. Transparency not only helps affected users but also demonstrates organizational maturity and compliance readiness.

    What Can Consumers Do to Protect Themselves?

    • Be cautious with COD deliveries you didn’t expect
    • Report suspicious packages immediately
    • Use parcel tracking features
    • Limit sharing of personal data online

    Conclusion: Your Front Door Is Now a Firewall

    The Ninja Express breach is not just a logistics issue. It’s a warning shot for every industry handling consumer data in bulk.

    Whether you’re a delivery startup or a national e-commerce giant, the security of your customers is the real product you deliver.

    Trust, once broken, is hard to package back up.

    To stay ahead, organizations need integrated, AI-driven platforms like Brahma Fusion by Peris.ai that automate detection, orchestrate response, and reinforce human decision-making across the entire security lifecycle.

    Explore more on safeguarding customer data and orchestrating secure logistics operations at Peris.ai.

  • Why Traditional SIEM Isn’t Enough—Peris.ai Brings Real Intelligence

    Why Traditional SIEM Isn’t Enough—Peris.ai Brings Real Intelligence

    Security Information and Event Management (SIEM) platforms were once hailed as the ultimate solution for centralized logging, correlation, and security monitoring. But in today’s complex threat landscape—marked by polymorphic malware, AI-powered phishing, cloud-native exploits, and lateral movement across hybrid infrastructures—SIEM alone isn’t enough.

    CISOs and SOC leads are realizing a painful truth:

    You’re collecting logs, but not catching threats.

    This article explores the limitations of traditional SIEMs, the operational burden they impose, and the gaps they leave exposed. More importantly, it reveals how Peris.ai delivers real intelligence through a unified, AI-powered platform that elevates detection, triage, and response beyond what SIEMs were ever designed to handle.

    What Traditional SIEMs Were Built For—and Why That’s No Longer Enough

    A Brief History of SIEM

    SIEM platforms originated in the early 2000s to help organizations:

    • Collect logs from diverse systems
    • Correlate events for anomalies
    • Store logs for compliance and auditing
    • Provide dashboards for SOC analysts

    In theory, this should enable threat detection across an enterprise. But in practice?

    Where They Fall Short Today

    • High noise-to-signal ratio
    • Lack of contextual intelligence
    • Delayed detection due to static rules
    • Minimal automation
    • Complex integration requirements
    • Expensive to scale

    And perhaps worst of all:

    SIEMs tell you what happened—but not why it matters or what to do next.

    The Pain Points of Relying Solely on SIEM

    A. Alert Fatigue from Volume-Based Detection

    SIEMs generate tens of thousands of alerts daily, most of which:

    • Are false positives
    • Require human correlation
    • Lack relevance to current threats

    Analysts waste time sifting through noise instead of investigating real threats.

    “Our SIEM gives us 5,000 alerts a day. But only five of them matter—and we often miss those five.”

    B. Lack of Threat Context and Intelligence

    Traditional SIEMs:

    • Rely on static rules and signatures
    • Have no understanding of threat actor behavior
    • Don’t enrich alerts with threat intelligence
    • Can’t differentiate between a misconfigured script and an active attack

    This leads to both underreaction and overreaction.

    C. Blindspots Across Cloud, Remote, and BYOD Assets

    Modern infrastructures include:

    • Cloud-native workloads
    • Remote employee endpoints
    • IoT/OT devices
    • SaaS applications

    Most SIEMs were not built to ingest telemetry from these sources effectively, leaving major visibility gaps attackers can exploit.

    D. Delayed Detection and Slow Mean Time to Respond (MTTR)

    SIEMs often require:

    • Manual log analysis
    • Multiple system pivots
    • Human-driven ticket generation

    This slows down detection, investigation, containment, and recovery—sometimes turning a minor event into a full-scale breach.

    E. High Operational Overhead and Complexity

    Security teams struggle with:

    • Maintaining complex ingestion pipelines
    • Writing and updating correlation rules
    • Managing licensing based on data volume
    • Making sense of disconnected dashboards

    The result? More tools, more complexity—but less clarity.

    Why Intelligence > Data in Modern SOCs

    Threats in 2025 are:

    • Faster: Exploits surface and spread within hours of disclosure.
    • Smarter: Adversaries use AI to evade detection and automate phishing.
    • Quieter: “Living-off-the-land” techniques leave minimal logs.
    • Ubiquitous: Attacks target identity, endpoint, cloud, and infrastructure simultaneously.

    What’s needed isn’t just raw logs—it’s intelligence-driven operations.

    • Threat Context Helps analysts prioritize alerts and link to real-world actors
    • Behavioral Analytics Detects anomalies across time, users, and devices
    • Autonomous Triage Speeds response without overloading analysts
    • Full-Stack Visibility Covers cloud, endpoint, network, and identity systems
    • Cross-System Orchestration Enables coordinated, AI-powered response

    How Peris.ai Elevates the SOC: Intelligence Over Logs

    Rather than replace SIEM, Peris.ai augments and orchestrates it—building an intelligence-first architecture that connects signals, enriches context, and automates response.

    Peris.ai’s intelligent cybersecurity ecosystem is driven by key components:

    Brahma Fusion (AI Playbook Engine)

    • Agentic AI playbooks that adapt to context
    • Real-time triage of incoming data
    • Automated investigation and response
    • Reduces alert fatigue by up to 44%

    Peris.ai IRP (Incident Response Platform)

    • Centralized dashboard for case management
    • Aggregates data from EDR, SIEM, NVM, CTI
    • Executes workflows from detection to remediation
    • Tracks investigation timelines and response SLAs

    INDRA (Cyber Threat Intelligence)

    • Real-time CTI feed
    • Maps IOCs and behavior to MITRE ATT&CK
    • Scores alerts based on exploitability and actor intent
    • Prioritizes cases with contextual risk scoring

    NVM (Network Visibility Monitoring)

    • AI-enhanced packet inspection and traffic correlation
    • Lateral movement detection
    • Identifies blindspots across segmented environments
    • Integrates with endpoint and cloud telemetry

    What Makes Peris.ai Different From a SIEM?

    Log aggregation

    • Traditional SIEM: ✅
    • Peris.ai Ecosystem: ✅

    Static correlation

    • Traditional SIEM: ✅
    • Peris.ai Ecosystem: ✅ + contextual scoring

    Behavioral detection

    • Traditional SIEM: ❌
    • Peris.ai Ecosystem: ✅

    Threat actor enrichment

    • Traditional SIEM: ❌
    • Peris.ai Ecosystem: ✅ (via INDRA)

    Real-time response

    • Traditional SIEM: ❌
    • Peris.ai Ecosystem: ✅

    Alert triage automation

    • Traditional SIEM: ❌
    • Peris.ai Ecosystem: ✅ (via Brahma Fusion)

    Case management

    • Traditional SIEM: Manual
    • Peris.ai Ecosystem: Integrated (IRP)

    Cloud/IoT/BYOD visibility

    • Traditional SIEM: Limited
    • Peris.ai Ecosystem: Broad & scalable

    Cross-platform coordination

    • Traditional SIEM: ❌
    • Peris.ai Ecosystem: Seamless

    Real-World Example: A Missed Threat Becomes a Breach

    Company: Mid-size Tech Firm

    • Deployed a popular SIEM platform
    • SIEM flagged abnormal login patterns from an internal system
    • Alert was ignored as “false positive”
    • Weeks later, data exfiltration occurred
    • Investigation revealed lateral movement, PowerShell abuse, and outbound C2 connections

    Why It Failed:

    • SIEM did not enrich with threat intel
    • No behavioral analysis was done
    • No triage automation existed
    • Endpoint and network data were siloed

    With Peris.ai in Place:

    • Alert enriched by INDRA: maps to TA505 campaign
    • Brahma Fusion triggers playbook: isolates endpoint
    • NVM confirms DNS tunneling pattern
    • IRP opens case, assigns incident manager
    • Full RCA completed in <2 hours

    Getting Started: Modernizing Beyond SIEM

    Step 1: Identify Gaps

    Audit your current detection workflows:

    • Are alerts being investigated timely?
    • Is context consistently missing?
    • Are cloud and endpoint blindspots present?

    Step 2: Integrate Sources

    Connect SIEM to EDR, NVM, and cloud telemetry. Use Peris.ai IRP to correlate and manage workflows centrally.

    Step 3: Enrich with Threat Intelligence

    Use INDRA to overlay CTI context on all alerts. Prioritize based on actor activity, CVE maturity, and campaign alignment.

    Step 4: Automate Triage

    Use Brahma Fusion to build intelligent playbooks. Reduce L1/L2 burdens and streamline escalation.

    Step 5: Shift to Case-Based Response

    Every high-fidelity alert becomes a managed case with assigned ownership, response timeline, and full audit trail.

    What Success Looks Like with Peris.ai

    MTTD (Mean Time to Detect)

    • Pre-Peris.ai SIEM: 5–12 hours
    • With Peris.ai Intelligence: <20 minutes

    MTTR (Mean Time to Respond)

    • Pre-Peris.ai SIEM: Days
    • With Peris.ai Intelligence: <2 hours

    Alert Noise

    • Pre-Peris.ai SIEM: High
    • With Peris.ai Intelligence: 40%+ reduction

    Missed True Positives

    • Pre-Peris.ai SIEM: Weekly
    • With Peris.ai Intelligence: Rare, contextualized alerts

    SOC Burnout & Turnover

    • Pre-Peris.ai SIEM: High
    • With Peris.ai Intelligence: Lower with automation

    Compliance Reporting Burden

    • Pre-Peris.ai SIEM: Manual
    • With Peris.ai Intelligence: Automated via IRP

    Conclusion: SIEM Alone Can’t Save You—But Intelligence Can

    Traditional SIEM tools were built for an earlier era. They excel at log aggregation but fall short when it comes to:

    • Intelligent correlation
    • Threat context
    • Real-time triage
    • Automated, cross-platform response

    In today’s landscape, visibility is not enough. Intelligence is what drives action.

    That’s what Peris.ai brings:

    • Brahma Fusion for AI-driven decision-making
    • IRP for response orchestration
    • INDRA for contextual CTI
    • NVM for uncovering what SIEM misses

    Together, they transform fragmented toolchains into a cohesive, intelligent defense ecosystem.

    Still relying on logs without intelligence? It’s time to evolve. Explore how Peris.ai can modernize your SOC at https://peris.ai

  • When Employees Are Your Weakest Link: Blue Team Services Explained

    When Employees Are Your Weakest Link: Blue Team Services Explained

    In the ever-expanding battlefield of cybersecurity, the spotlight often falls on firewalls, encryption, and zero-day exploits. Yet, the vast majority of successful cyberattacks don’t start with brute force or nation-state toolkits. They begin with something far more mundane: a human mistake.

    Employees click phishing links, reuse passwords, mishandle sensitive data, and sometimes unintentionally open the door to attackers. It’s a painful truth: your people can be your greatest strength or your weakest link.

    But the answer isn’t to blame employees. It’s to empower them, monitor intelligently, and design your defenses to detect, contain, and respond to human-driven incidents. That’s the role of the Blue Team.

    This article unpacks the real pain points organizations face when human error becomes the gateway for breaches. It explains the role of Blue Team services in hardening your people, processes, and technology. And it shows how Peris.ai’s Blue Team capabilities provide a comprehensive defense strategy that transforms employees from liabilities into allies.

    Pain Points: When Employees Unwittingly Invite the Attack

    1. Phishing and Social Engineering

    Phishing remains a leading initial attack vector across industries. According to the 2025 Verizon Data Breach Investigations Report (DBIR), approximately 60% of breaches involved a human element, including errors and social engineering attacks .(Mimecast)

    Spear-phishing emails often impersonate executives, mimic vendors, or use fake security alerts. Even trained employees can be fooled by highly targeted lures.

    2. Credential Misuse and Weak Passwords

    Users often reuse passwords across personal and professional accounts. A major cybersecurity incident revealed that over 19 billion real passwords were leaked online between April 2024 and April 2025, with a vast majority—94%—being reused across multiple accounts .(New York Post)

    Even with MFA, session hijacking and credential stuffing remain serious threats.

    3. Data Handling Errors

    From misconfigured Google Drive links to emailing unencrypted spreadsheets, employees frequently mishandle sensitive data. These errors lead to compliance violations, regulatory fines, and reputational damage.

    4. Shadow IT and Unauthorized Tools

    Employees often install unapproved software, use unsanctioned cloud services, or bypass controls to “get the job done.” These systems often lack monitoring, patching, or proper access controls.

    5. Insider Threats

    While rare, some employees knowingly steal data, sabotage systems, or aid external attackers. More commonly, negligence—not malice—creates insider risk. According to Cybersecurity Insiders’ 2024 Insider Threat Report, 83% of organizations reported at least one insider attack in the last year .(IBM)

    Case Examples: Real Damage from Human Mistakes

    • Healthcare breach caused by an employee falling for a phishing email requesting login credentials to access scheduling software. Result: ransomware encrypted critical systems for 3 days.
    • Manufacturing incident where a VPN password was reused from a previous LinkedIn breach. The attacker gained network access and exfiltrated proprietary designs.
    • Finance firm suffered a data leak when a junior analyst shared an internal spreadsheet with a third-party via Google Docs, forgetting to restrict access.

    Why Technology Alone Isn’t Enough

    Even the most advanced tools can’t fully mitigate human risk without proper strategy. Consider:

    • Email filters miss zero-day phishing payloads.
    • MFA doesn’t stop users from entering credentials on fake portals.
    • DLP solutions can’t judge business context for every shared file.
    • SIEM alerts require context to detect social engineering patterns.

    What’s needed is a human-aware defense layer. One that combines training, simulation, detection, and response. That’s where the Blue Team steps in.

    Blue Team Services: Your Human-Centric Defense

    The Blue Team focuses on proactive defense: monitoring, detection, response, and improvement. Unlike red teams that simulate attackers, blue teams operate inside the network to defend in real-time.

    At Peris.ai, our Blue Team services are designed to:

    • Reduce risk from human error
    • Detect early indicators of compromise
    • Contain and respond to incidents quickly
    • Build organizational cyber resilience

    Core Blue Team Capabilities

    1. Phishing Simulation & Awareness Training

    • Realistic phishing campaigns targeting specific roles and departments
    • Behavioral analytics to track who clicked, reported, or ignored
    • Adaptive training modules based on user performance

    2. Endpoint Detection & Response (EDR)

    • Continuous monitoring for signs of compromise
    • Behavioral analysis to detect anomalous activity (e.g., odd login times, lateral movement)
    • Rapid containment actions like isolating infected hosts

    3. Insider Threat Monitoring

    • Baseline analysis of user behavior across email, files, and access patterns
    • Detection of anomalies like large file transfers, login irregularities, or privilege escalations
    • Integration with HR and access management for joint investigations

    4. Threat Hunting

    • Proactive search for indicators of compromise and attacker footholds
    • Use of threat intelligence to identify trending social engineering campaigns
    • Daily, weekly, or continuous hunts depending on organizational maturity

    5. SIEM and Log Correlation

    • Centralized analysis of user events across endpoints, network, and cloud
    • Correlation with CTI (Cyber Threat Intelligence) to flag suspicious user behavior
    • Alert prioritization and contextual enrichment for human-driven threats

    6. Incident Response and Recovery

    • Rapid triage of suspected human-driven incidents
    • Root cause analysis to determine if user error led to the compromise
    • Remediation plans including containment, communication, and patching

    How Peris.ai Blue Team Services Transform Human Risk into Resilience

    Rather than treating users as the problem, Peris.ai builds a program that treats them as partners in defense. Here’s how:

    Real-Time Behavioral Insight

    Peris.ai integrates behavioral analytics into EDR and SIEM to understand normal vs. abnormal user activity. When an employee clicks a malicious link, we can:

    • Detect the initial event
    • Trace follow-up actions (downloads, process launches)
    • Automatically isolate the device or disable credentials if needed

    Phishing Resilience Program

    Using dynamic simulation tools, we mimic real-world phishing attacks tailored to your:

    • Business language
    • Employee roles
    • Local trends

    This provides better data than generic awareness training and allows us to benchmark and improve user resilience over time.

    Threat Detection + Human Context

    By fusing CTI and UEBA (User and Entity Behavior Analytics), we detect:

    • Business email compromise (BEC) attempts
    • Credential abuse from reused or breached passwords
    • Insider misuse patterns (e.g., exfiltrating files before resignation)

    Response and Education Cycle

    After an incident, we run a loop:

    1. Technical investigation and containment
    2. User interview to determine root cause
    3. Targeted training and system hardening

    This ensures both technical and human remediation.

    Complementing Red Team and SOC

    While Red Team operations simulate attack paths, and SOCs monitor alerts, the Blue Team:

    • Bridges simulation with real defense
    • Focuses on the gray zone of user behavior
    • Drives continuous improvement across the cyber defense lifecycle

    With Peris.ai, Blue Team services operate in harmony with your:

    • Existing detection platforms
    • Incident response workflows
    • Awareness programs

    Getting Started: Building a Human-Centric Defense

    1. Assess Your Human Risk: Conduct phishing tests, password audits, and behavioral baselining
    2. Deploy Blue Team Services in Phases: Start with simulation and detection; expand to full threat hunting and IR
    3. Integrate with CTI and SOC: Feed human-risk insights into your broader defense ecosystem
    4. Report, Improve, Repeat: Measure outcomes, refine training, improve response

    Conclusion: Empower Your Employees, Don’t Just Blame Them

    Security failures due to human error are not a flaw in your people—they’re a flaw in your system. Blaming users leads to fear and non-reporting. Empowering them builds resilience.

    Peris.ai’s Blue Team services are built on the idea that humans are not the weakest link when supported with the right tools, insight, and training.

    With intelligent monitoring, realistic simulations, rapid response, and ongoing education, you can turn your people into a distributed human firewall that strengthens your cybersecurity posture.

    When employees are your weakest link, Blue Team is your strongest answer.

    Start building human-aware cyber defense at https://peris.ai