7,655 ransomware victims in 12 months (based on leak site tracking). One organization every 71 minutes. The dominant attack vector is not a vulnerability: it’s a valid login.
From March 2025 to March 2026, ransomware groups posted 7,655 victim claims. That is one new organization posted every 71 minutes, every hour of every day for an entire year. Fifty-three ransomware groups claimed US victims in January and February 2026 alone. Qilin alone claimed 1,179 victims across 74 countries, averaging 3.1 new victims every single day.
These numbers are striking. What is more striking is how the attacks actually begin. Ransomware is no longer primarily a story about exploiting technical vulnerabilities. The dominant shift in 2026 is identity-first attack: attackers prioritize credential theft, session token hijacking, and federated access abuse to achieve initial access. They do not break in through a zero-day. They log in with a valid credential.
This rewrite of the ransomware playbook has profound implications for threat models that are organized around perimeter defense and vulnerability management. If the attacker already has valid credentials, your firewall sees a legitimate login. Your SIEM records an authenticated session. Your EDR agent sees a credentialed user executing commands. The threat is inside the perimeter from the first moment, and it looks like a trusted user.
This post maps how credential-first ransomware works in 2026, why the identity perimeter is now the last line of defense, and what detection controls actually catch these attacks before encryption begins.
What Is Credential-First Ransomware?
Credential-first ransomware is a ransomware attack methodology that prioritizes obtaining valid authentication credentials as the first phase of the attack chain, rather than exploiting a technical vulnerability for initial access. This includes phishing-based credential theft, session token hijacking (including AiTM techniques), dark web purchase of previously stolen credentials, and insider recruitment.
Once inside with valid credentials, attackers move methodically: they discover the environment, elevate privileges, disable security tooling, destroy backups, and stage data for exfiltration before deploying encryption. The credential is the key. Everything else follows from having it.
The 2026 Ransomware Landscape: Who Is Attacking
The credential theft ransomware identity attack landscape in 2026 is characterized by a maturing ecosystem of specialized groups with distinct operating patterns.
Qilin leads by volume with 1,179 claims across 74 countries in the past 12 months. Akira targets mid-market organizations in manufacturing and professional services. Clop specializes in large-scale data theft from enterprise networks. INC Ransom and Play focus on critical infrastructure and healthcare. DragonForce and Sinobi represent newer entrants with rapidly growing victim counts.
Across these groups, several structural trends define 2026 operations: faster rebranding cycles when heat increases, cross-platform encryption capability that operates across Windows, Linux, and VMware ESXi simultaneously, and double extortion as the baseline: data exfiltration before encryption, with two separate leverage points for payment.
Perhaps most concerning: ransomware groups are actively recruiting native English speakers to approach corporate insiders as recruitment targets. A BBC reporter was contacted in 2026 by a group attempting to recruit insiders to plant ransomware in exchange for a share of the ransom. The attack surface now includes your employees as potential threat vectors.
The Credential-First Attack Chain
Phase 1: Credential Acquisition
Attackers acquire credentials through multiple channels operating in parallel. Phishing campaigns deliver credential-harvesting pages or info-stealers. Dark web credential markets sell previously stolen credentials from historical breaches. Session tokens are harvested through AiTM phishing proxies that bypass MFA. Federated identity vulnerabilities allow credential reuse across cloud environments.
Nation-state actors using AI to forge synthetic identities and deepfake personas have also been observed successfully passing recruitment and verification processes, establishing insider positions in targeted organizations. The acquisition phase is patient and multi-channel.
Phase 2: Persistent Access Establishment
With valid credentials, the attacker establishes persistent access using legitimate mechanisms: creating new accounts, adding MFA methods to existing accounts, registering new devices for trusted access, and installing remote management tools that are indistinguishable from legitimate IT infrastructure.
This phase is where dwell time accumulates. Attackers may maintain persistent access for weeks before proceeding, gathering intelligence on network topology, backup architecture, and security tooling.
Phase 3: Privilege Escalation and Lateral Movement
Using the persistent access, attackers escalate privileges by exploiting misconfigured access controls, over-privileged service accounts, and legacy systems that lack modern authentication requirements. Lateral movement uses legitimate tools: RDP, WMI, PowerShell, and network file shares — activities that are difficult to distinguish from normal IT operations without behavioral context.
Phase 4: Defense Evasion and Backup Destruction
Before encryption, attackers systematically disable or evade security controls: stopping EDR agents, clearing logs, disabling backup processes, and staging data exfiltration. Backup destruction is completed before ransomware deployment to remove the recovery option. This phase is the critical window for detection: the behavioral patterns of backup access and deletion, logging changes, and security tool manipulation are detectable anomalies that precede encryption.
Phase 5: Encryption and Double Extortion
With defenses disabled and backups destroyed, encryption is deployed. Simultaneously, the exfiltrated data creates a second extortion lever: pay or the data is published. In 2026, the encryption phase is often the first moment organizations realize an attack is underway: by then, the damage is largely done.
What Happens When Teams Miss the Early Phases
Ransomware groups have adapted to detection at the encryption phase: they simply rebuild with a different tool and re-enter. The organizations that successfully reduce breach impact are those that detect the attack during credential acquisition, persistence establishment, or the lateral movement phase — before backup destruction begins. Peris.ai’s platform reduces breach impact by 53% and cost by 47% in documented deployments: that reduction comes from early-phase detection, not post-encryption response.
Why Traditional Threat Models Miss Credential-First Ransomware
The credential-first ransomware playbook is not a new tactic: it is the maturation of an approach that has been growing in prevalence for years, driven by the increasing availability of stolen credentials, the effectiveness of session token hijacking, and the reality that most organizations have stronger perimeter defenses than identity security.
The threat model that treats network perimeter defense as the primary control is the wrong threat model for 2026. Identity security, behavioral analytics that surface anomalous credential use, and automated response speed are the controls that matter. Peris.ai’s XDR, BrahmaFusion, and IRP give SOC teams the identity-layer visibility, early-phase detection, and automated response capability to catch ransomware attacks before they reach the encryption phase.
Because in 2026, the most dangerous actor in your environment is not breaking in. They are already logged in. And the clock is running.
Learn how Peris.ai’s agentic AI platform empowers security teams to detect and stop credential-first ransomware before backup destruction begins. Want more insights? Visit Peris.ai.
Frequently Asked Questions
What is credential-first ransomware?
Credential-first ransomware prioritizes obtaining valid authentication credentials as the first phase of the attack chain, using credential theft, session token hijacking, or dark web credential purchases to gain access, rather than exploiting technical vulnerabilities.
How many ransomware attacks happened in 2025-2026?
Ransomware groups posted 7,655 victim claims from March 2025 to March 2026 (based on leak site tracking), representing one new organization every 71 minutes.
Who is Qilin ransomware?
Qilin is the most prolific ransomware group in the 12-month period ending March 2026, claiming 1,179 victims across 74 countries at an average rate of 3.1 victims per day.
Why does MFA no longer fully protect against ransomware?
AiTM phishing techniques proxy the authentication flow, capturing the session token after MFA completes. Attackers replay the token to gain authenticated access without ever having the user’s credentials or MFA device.
How does Peris.ai detect credential-first ransomware attacks?
Peris.ai’s XDR correlates identity signals across endpoint, network, cloud, and authentication layers to detect anomalous credential use in the early attack phases. BrahmaFusion executes automated response playbooks to contain compromise before lateral movement or backup destruction occurs.
Meta lede: A ransomware gang operated inside enterprise firewalls for 36 days before a patch existed — here’s why zero-day gaps are now your most dangerous blind spot.
When Cisco disclosed CVE-2026-20131 in early March 2026, the security community’s reaction wasn’t relief — it was alarm. The critical flaw in Cisco Secure Firewall Management Center had already been weaponized. The Interlock ransomware gang had been exploiting it since January 26, a full 36 days before a patch was made available. During that window, they had unauthenticated remote access and could execute arbitrary code with root privileges on affected devices.
The breach didn’t happen because defenders were careless. It happened because the vulnerability didn’t officially exist yet. No CVE. No patch. No alert. Just silence — while attackers moved freely through enterprise networks.
This is the zero-day paradox: the most dangerous threats are the ones your security tools aren’t configured to detect because, by definition, no one knows they exist yet. And in 2026, this isn’t an edge case. It’s a growing pattern that every security leader needs to plan for.
Why Zero-Day Vulnerabilities Are Now a Primary Ransomware Vector
The Exploitation Window Is Getting Longer
The Interlock-Cisco case is not an isolated incident. In 2025 and into 2026, threat actors — including nation-state APTs and financially motivated ransomware groups — have increasingly shifted to zero-day exploitation as a first point of entry.
What makes the zero-day gap so dangerous:
No signature exists yet. Traditional EDR and SIEM tools rely on known threat signatures. A zero-day bypasses this entirely.
Patch windows are shrinking but never reach zero. Even the most agile security teams face days-to-weeks between vendor disclosure and full enterprise patch deployment.
Attackers share intelligence faster than defenders. Dark web forums and ransomware affiliate networks circulate exploit code rapidly.
Critical infrastructure is the target. Firewalls, VPNs, and network management tools are now the highest-value targets for zero-day exploitation.
What Happens When You Miss the Window
Data exfiltration before encryption. Modern ransomware groups like Interlock, Qilin, and DragonForce don’t just encrypt — they steal first, enabling double extortion.
Persistence mechanisms planted. Threat actors establish multiple backdoors during the exploitation window.
Mean time to detect remains catastrophically high. The average enterprise takes 241 days to identify and contain a breach.
Regulatory and reputational fallout. PDPA, OJK, and MAS regulations impose strict breach notification requirements.
The Zero-Day Landscape in 2026: By the Numbers
Metric
Value
CVE-2026-20131 exploitation window
36 days before patch
Average eCrime breakout time
29 minutes (CrowdStrike 2026)
Average breach detection and containment
241 days
Average cost of a data breach
$4.88M (IBM 2024)
Ransomware attacks targeting weekends/holidays
86%
Ransomware groups active in Jan-Feb 2026
53+ groups
What Does Proactive Zero-Day Defense Actually Look Like?
How INDRA CTI and Peris.ai’s Platform Close the Gap
INDRA CTI, Peris.ai’s Cyber Threat Intelligence engine, continuously monitors dark web forums, threat actor TTPs against MITRE ATT&CK, real-time IOCs, and behavioral anomalies — surfacing signals often days before a CVE is formally published.
This is paired with Peris.ai’s NVM (Network Visibility Monitor) for packet-level network telemetry, and BrahmaFusion for automated correlation and response playbook execution.
Scenario: Catching the Next Zero-Day Before It Has a Name
A finance company in Jakarta: INDRA CTI flags Cisco FMC exploit chatter on January 26. NVM is tasked to increase telemetry. Three days later, an anomalous deserialization payload is detected. BrahmaFusion isolates the interface, preserves forensics, and opens an IRP case with MITRE ATT&CK mapping automatically. Exploitation caught on day 3, not day 36. Ransomware never deploys.
Benefits of Proactive Zero-Day Defense with Peris.ai
Benefit
Outcome
Dark web monitoring via INDRA CTI
Early warning before CVE publication
Packet-level detection via NVM
Catches exploitation invisible to log-based tools
BrahmaFusion automated playbooks
Containment in minutes, not hours
IRP unified case management
Full forensic record with MITRE ATT&CK mapping
Reduced breach detection time
From 241-day average toward single-digit days
Compliance preservation
Evidence chain for PDPA, OJK, MAS requirements
Conclusion
Zero-day vulnerabilities don’t announce themselves. The 36-day Interlock window wasn’t a failure of patching — it was a failure of intelligence and visibility. Don’t wait for the CVE to know you’re under attack. Stay Secure with Peris.ai.
FAQ
Q: What is a zero-day vulnerability?
A: A zero-day is a software flaw exploited before a vendor patch exists. Traditional signature-based tools cannot detect these attacks.
Q: How did Interlock exploit CVE-2026-20131?
A: Via insecure deserialization in Cisco FMC, granting unauthenticated root code execution — 36 days before disclosure.
Q: How can organizations defend against zero-day threats?
A: Through behavioral detection, proactive CTI monitoring upstream of public disclosure, and packet-level network visibility — exactly what Peris.ai’s INDRA CTI, NVM, and BrahmaFusion provide.
Q: What is agentic AI cybersecurity?
A: AI systems that autonomously execute multi-step detection and response. Peris.ai’s BrahmaFusion reduces analyst workload by 35% while compressing response times dramatically.
Q: How does INDRA CTI differ from standard threat feeds?
A: INDRA CTI monitors dark web forums and threat actor TTPs in real time, surfacing warnings before CVEs are assigned — shifting from reactive patching to proactive threat hunting.
Open Source Intelligence (OSINT) is a powerful tool for gathering, analyzing, and reporting data from publicly available sources. It involves collecting and interpreting information to extract valuable insights and intelligence. OSINT techniques are used to acquire information from various online sources and enhance decision-making processes. It serves as an unseen cyber informant by providing valuable intelligence on security threats, market research, and competitive intelligence.
Key Takeaways:
Open Source Intelligence (OSINT) is a valuable tool for gathering intelligence from publicly available sources.
OSINT techniques are used to acquire information from various online sources.
OSINT serves as an unseen cyber informant by providing valuable intelligence on security threats, market research, and competitive intelligence.
OSINT enhances decision-making processes by offering valuable insights and intelligence.
OSINT plays a crucial role in risk mitigation and intelligence gathering.
Understanding Open Source Intelligence (OSINT)
Open Source Intelligence (OSINT) is a crucial component in gathering, evaluating, and analyzing publicly available information to produce intelligence. Through the process of locating, processing, and interpreting data, OSINT aims to provide answers to specific intelligence questions. This valuable form of intelligence can be acquired from a wide range of sources, including public records, news media, social media platforms, websites, and even the dark web.
OSINT is utilized by various entities, such as government agencies, law enforcement, military organizations, investigative journalists, and private investigators. Its applications extend to investigations, intelligence gathering, and information analysis. By harnessing the power of OSINT, these entities can gain insights, uncover hidden connections, and make informed decisions based on the analyzed information.
Let’s explore some examples of OSINT:
Monitoring social media platforms to gather information related to security threats or criminal activities.
Researching publicly available financial records to analyze the financial stability of a company before a merger or investment.
Examining news articles and reports to gather intelligence on regional conflicts and geopolitical trends.
Scanning online forums and discussion boards to identify potential threats or risks.
What is Open Source Intelligence (OSINT) Investigation?
Open Source Intelligence investigation involves the systematic collection and analysis of publicly available information to uncover valuable insights and intelligence. Investigators use OSINT techniques to access and evaluate information from diverse sources and piece together a comprehensive understanding of a subject or target.
The process of OSINT investigation typically includes:
Identifying the objective of the investigation and the specific intelligence requirements.
Gathering information from various open sources, utilizing techniques such as web scraping and data mining.
Validating and verifying the collected information to ensure its accuracy and reliability.
Organizing and analyzing the gathered data to extract meaningful patterns, relationships, and insights.
Presenting the findings in a clear and concise manner, often in the form of intelligence reports or visualizations.
Overall, open source intelligence plays a crucial role in modern-day investigations, intelligence analysis, and decision-making processes. Its accessibility, versatility, and effectiveness make it an invaluable tool for organizations and individuals alike.
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The Intelligence Cycle in Open Source Intelligence (OSINT)
The Intelligence Cycle is a crucial framework that drives the process of intelligence gathering and analysis in Open Source Intelligence (OSINT). This cycle consists of several distinct stages, each playing a vital role in extracting valuable insights and intelligence from publicly available sources. Understanding and effectively implementing the Intelligence Cycle is essential for a successful OSINT workflow.
1. Preparation
During the preparation stage, the objectives of the tasking are carefully assessed, and the best sources of information are identified. This stage sets the foundation for the entire OSINT workflow and ensures that the gathering and analysis processes align with the intended goals.
2. Collection
The collection stage involves gathering data and information from a diverse range of sources. These sources can include public records, social media platforms, news articles, websites, and more. The collection process requires meticulous attention to detail to ensure the completeness and accuracy of the gathered information.
3. Processing
In the processing stage, the collected information is organized, structured, and collated for further analysis. This involves extracting relevant data, removing duplicates, and ensuring data integrity. Effective processing techniques streamline the subsequent analysis phase.
4. Analysis and Production
The analysis and production stage is where the true value of OSINT shines. Here, the collected and processed information is analyzed to derive meaningful insights and actionable intelligence. Advanced techniques such as data visualization, natural language processing, and pattern recognition are utilized to uncover hidden connections, trends, and potential risks.
5. Dissemination
The final stage of the Intelligence Cycle involves presenting the findings and intelligence reports to stakeholders. A clear and concise delivery of the analyzed information ensures effective decision-making based on the intelligence gathered. Proper dissemination ensures that the right people receive the right information at the right time.
Creating an effective OSINT workflow is crucial to harness the power of intelligence gathering and information analysis. By following the Intelligence Cycle, organizations can maximize the value derived from open source intelligence, resulting in enhanced situational awareness, improved decision-making, and a proactive approach to risk managemen.
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Passive versus Active OSINT Research
When conducting Open Source Intelligence (OSINT) research, there are two main approaches to consider: passive and active. Each approach has its own distinct characteristics and purpose, making them suitable for different scenarios.
Passive OSINT
In passive OSINT, the focus is on gathering information about a target without directly engaging with them. This approach involves collecting publicly available information from sources such as websites, social media, news articles, and public records. Researchers rely on existing data without interacting with individuals online or leaving any visible traces. Passive OSINT is valuable for collecting a wide range of information about a target without alerting them to your presence or intentions.
Active OSINT
Active OSINT involves engaging directly with a target by interacting with them online. This can include commenting on their posts, messaging them, or following their social media accounts. The goal is to gather information by blending in with the target group and appearing as a genuine user. Active OSINT requires more involvement and effort, as you need to be actively present and participate in the online communities related to your research. It allows for more direct and immediate access to information but also carries the risk of alerting the target to your presence.
Organizations that utilize OSINT research need to establish clear policies and guidelines regarding passive and active engagement. Ethical considerations, legal boundaries, and the potential impact on targets should be carefully evaluated. Striking a balance between collecting valuable intelligence and respecting privacy and ethical boundaries is crucial.
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The Benefits of Passive and Active Engagement
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Ultimately, the choice between passive and active OSINT research depends on the specific goals, resources, and ethical considerations of each organization. Both approaches have their merits and limitations, and understanding how to effectively deploy each in the intelligence gathering process is crucial for achieving successful outcomes.
The Benefits of Open Source Intelligence (OSINT)
Open Source Intelligence (OSINT) provides numerous benefits and advantages over other forms of intelligence collection. By utilizing publicly available information, OSINT eliminates the need for accessing classified or restricted sources, making it a cost-effective and efficient solution for gathering intelligence.
One of the key advantages of OSINT is its ability to gather information from a wide range of sources. Organizations can tap into diverse platforms such as social media, news articles, research papers, and websites to gather insights on various topics from multiple perspectives. This comprehensive approach allows for a more holistic understanding of the subject matter.
Another benefit of OSINT is its transparency and verifiability. The information collected through OSINT can be easily validated, ensuring its accuracy and reliability. This level of confidence empowers organizations to make informed decisions based on the intelligence gathered.
Moreover, OSINT offers timeliness and agility. With the vast amount of publicly available information, OSINT enables real-time intelligence gathering, enabling organizations to stay ahead of emerging trends, potential risks, and ever-evolving situations. This dynamic nature of OSINT makes it a valuable tool for decision-making processes.
“Open Source Intelligence (OSINT) eliminates the need for classified or restricted sources, making it a cost-effective and efficient solution for gathering intelligence.”
Furthermore, OSINT provides a wide range of sources to gather information from, ensuring a comprehensive view of the subject matter:
Social media platforms
News articles
Research papers
Government reports
Academic publications
These various sources contribute to the richness and diversity of the information gathered through OSINT, enhancing the quality of intelligence and facilitating better decision-making.
Overall, the benefits of Open Source Intelligence (OSINT) make it an invaluable tool for organizations across different sectors. It offers access to publicly available information, cost-effectiveness, transparency, verifiability, timeliness, and a wide range of sources for intelligence gathering. Embracing OSINT can significantly enhance an organization’s intelligence capabilities and ultimately drive better outcomes.
Open Source Intelligence (OSINT) Benefits:
Access to publicly available information
Cost-effectiveness
Transparency and verifiability
Real-time intelligence gathering
Diverse sources for comprehensive insights
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How Open Source Intelligence (OSINT) Works
Open Source Intelligence (OSINT) involves a series of processes to collect, process, and analyze publicly available information. The goal is to extract valuable insights and intelligence that can inform decision-making and provide actionable intelligence.
The Collection Stage
During the collection stage, OSINT professionals gather information from various sources, including but not limited to:
Social media platforms
News articles
Government reports
Academic papers
This broad range of sources ensures a comprehensive and diverse dataset for analysis.
The Processing Stage
Once the information is collected, it goes through a processing stage. This involves organizing and structuring the data to make it easily interpretable and digestible. Data cleaning techniques are applied to remove any irrelevant or redundant information, ensuring data accuracy.
The Analysis Stage
The processed data is then subjected to various analysis techniques to identify patterns, trends, and relationships. Advanced tools and techniques, such as data visualization and natural language processing, are used to aid in this analysis. The goal is to gain deeper insights into the information collected and extract intelligence that can support decision-making processes.
Providing Actionable Intelligence
The ultimate objective of OSINT is to provide actionable intelligence based on the information collected, processed, and analyzed. This intelligence can be used for a variety of purposes, including:
“The key to OSINT success lies in the ability to transform raw data into meaningful insights that contribute to effective decision-making.”
By leveraging OSINT collection, processing, and analysis, organizations and individuals can gain valuable intelligence that can guide their strategies and actions.
Image: Keywords related to the current section: osint collection, osint processing, osint analysis.
Applications of Open Source Intelligence (OSINT)
Open Source Intelligence (OSINT) is a versatile tool with a wide range of applications across various industries and sectors. Let’s explore some of the key uses of OSINT:
1. Security and Intelligence:
OSINT is extensively used by governments, law enforcement agencies, and the military for security and intelligence purposes. It plays a crucial role in gathering valuable information on potential threats, risks, and emerging security trends.
2. Business and Market Research:
OSINT provides valuable insights for businesses by facilitating competitor analysis, monitoring industry trends, and conducting market research. It helps organizations understand consumer behavior, market dynamics, and identify new business opportunities.
3. Investigative Journalism:
Investigative journalists rely on OSINT to gather information for their investigations. It helps uncover hidden connections, verify facts, and expose wrongdoing. OSINT tools and techniques are essential for conducting in-depth research and reporting accurate stories.
4. Academic Research:
OSINT plays a significant role in academic research, enabling scholars to access publicly available data. It is particularly useful in fields such as social sciences, criminology, and political science, helping researchers gather information and analyze trends.
5. Legal Proceedings:
OSINT is increasingly being used in legal proceedings to gather evidence, support litigation, and strengthen cases. It provides lawyers and investigators with valuable information from public sources that can be admissible in court.
6. Information Security:
Information security professionals utilize OSINT to identify vulnerabilities, assess risks, and protect against cyber threats. It helps in understanding the tactics, techniques, and procedures employed by potential attackers.
7. Human Rights Investigations:
OSINT plays a crucial role in human rights investigations, providing organizations with the ability to track and document human rights abuses. It helps shine a light on violations and hold perpetrators accountable.
Industries and Sectors Benefiting from OSINT
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As evident from the table above, OSINT finds significant applications across various industries and sectors, making it an invaluable tool for gathering information, enhancing decision-making processes, and driving positive outcomes.
The Open Source Intelligence (OSINT) Market Overview
Several factors contribute to the growth of the OSINT market. Firstly, the rising number of cyber threats and security breaches has created a pressing need for advanced intelligence gathering techniques. Organizations across various industries are leveraging OSINT to gather crucial insights and stay ahead of potential risks.
The government’s initiatives and regulations also play a significant role in propelling the OSINT market forward. With a growing emphasis on national security, governments around the world are investing in OSINT capabilities to enhance their intelligence gathering and analysis efforts.
Furthermore, technological advancements are driving the expansion of the OSINT market. As technology evolves, new tools and techniques are being developed to collect, process, and analyze data from a variety of sources. This allows organizations to extract valuable intelligence and make informed decisions.
Key Players in the OSINT Market
A number of key players dominate the OSINT market, each contributing to its overall growth and development. These companies are at the forefront of providing innovative OSINT solutions and services, empowering organizations with advanced intelligence capabilities:
These companies have established themselves as leaders in the field, offering cutting-edge technologies and expertise to clients across various industries.
The growing OSINT market presents numerous opportunities for organizations and industries to harness the power of open source intelligence. By leveraging OSINT capabilities and partnering with key players, businesses can gain a competitive edge, mitigate risks, and make well-informed decisions in an increasingly complex digital landscape.
Conclusion
In the digital age, Open Source Intelligence (OSINT) has become an indispensable asset for organizations aiming to navigate the complexities of cybersecurity threats and vulnerabilities. OSINT platforms, like the one offered by Peris.ai Cybersecurity, harness the wealth of information available in public domains to deliver actionable intelligence that can protect businesses from potential cyber threats.
Our OSINT platform stands out in the market by providing comprehensive insights into the latest hacking techniques, malware trends, phishing campaigns, and more, drawing from a diverse array of open and closed sources, including social media, forums, and underground marketplaces. Our dedicated team of experts ensures that our clients have access to the most current information, enabling them to make informed decisions about their cybersecurity strategies.
Potential Threat Alerts: Customize alerts to receive timely notifications about threats pertinent to your business. This feature allows you to stay ahead of potential risks, ensuring quick and effective response measures.
Multi Sources Analytics: Our platform’s strength lies in its ability to aggregate and analyze data from multiple sources, including social media, blockchains, messaging platforms, and even the dark web. This comprehensive approach facilitates thorough investigations and the discovery of crucial insights and connections, making it invaluable for various organizations seeking to bolster their cybersecurity measures.
Integration with SIEM systems is seamless, consolidating all security data in one place for a holistic view of your security posture. This integration enhances your ability to swiftly identify and react to emerging threats, fortifying your defenses against the dynamic challenges of the cyber landscape.
As the demand for OSINT grows, driven by the escalating need for sophisticated intelligence gathering and cybersecurity measures, Peris.ai Pandava positions itself as a key player in this evolving market. Our OSINT solution not only offers a competitive edge but also fosters a safer digital environment for businesses across industries.
Embrace the advanced capabilities of Peris.ai Pandava’s OSINT platform to elevate your organization’s intelligence gathering and cybersecurity strategies. Visit Peris.ai Cybersecurity to explore how our OSINT platform can empower your organization to mitigate risks, make well-informed decisions, and thrive in the increasingly complex digital world. Join us in harnessing the full potential of open source intelligence for a secure and informed future.
FAQ
What is Open Source Intelligence (OSINT)?
Open Source Intelligence (OSINT) is the practice of gathering, analyzing, and reporting intelligence from publicly available sources. It involves collecting and interpreting information to extract valuable insights and intelligence.
How is OSINT used in investigations?
OSINT is used in investigations by government agencies, law enforcement, and private investigators to gather information and intelligence. It helps uncover valuable insights, patterns, and relationships to aid in decision-making and solving cases.
What is the Intelligence Cycle in OSINT?
The Intelligence Cycle in OSINT is a framework that guides the process of collecting and analyzing intelligence. It consists of stages such as preparation, collection, processing, analysis and production, and dissemination. Each stage contributes to the overall effectiveness of the OSINT workflow.
What is the difference between passive and active OSINT research?
Passive OSINT research involves gathering information about a target without engaging with them directly. Active OSINT research, on the other hand, involves engaging with a target by commenting, messaging, or following them on social media platforms. Both approaches have different ethical considerations and advantages depending on the research goals.
What are the benefits of using Open Source Intelligence (OSINT)?
OSINT provides access to publicly available information, allowing organizations to gather information on diverse topics from different perspectives. It is cost-effective, transparent, and easily verifiable. OSINT also offers timeliness and a wide range of sources, making it a valuable tool for intelligence gathering and decision-making.
How does Open Source Intelligence (OSINT) work?
OSINT works by collecting publicly available information from various sources, processing and organizing the collected data, and analyzing it to extract insights and intelligence. The information is gathered from online sources such as social media, news articles, government reports, and academic papers.
What are the applications of Open Source Intelligence (OSINT)?
OSINT has applications in various industries and sectors. It is used for security and intelligence gathering, business and market research, investigative journalism, academic research, and legal proceedings. OSINT provides valuable insights and information for decision-making processes.
How does Open Source Intelligence (OSINT) contribute to decision-making?
OSINT provides valuable intelligence and insights that can inform decision-making processes. By gathering information from publicly available sources, organizations can assess potential risks, understand market trends, identify competitors, and make informed decisions based on accurate and reliable data.
In today’s rapidly evolving digital world, cyber threats are no longer a question of “if”—but “when.” Businesses must stay ready with a structured incident response plan to avoid operational disruptions and reputational damage. Without preparation, organizations risk prolonged downtime, data loss, and missed opportunities.
Why Cyber Resilience Matters
A cyber incident can compromise systems, leak sensitive data, or halt business operations. These crises are complex, often involving external attacks or internal mistakes. Quick response and clear processes are critical to minimize damage.
Key reasons to improve your incident response:
Reduce system downtime and business disruption
Safeguard sensitive information
Maintain client and stakeholder trust
Ensure regulatory compliance
Strengthen long-term cybersecurity posture
What Makes an Effective Response Plan?
An incident response plan outlines how your team detects, contains, and recovers from cyber threats. It’s not just about technology—it’s about communication, accountability, and practice.
Components of a Strong Plan:
Defined Roles & Responsibilities: Assign who does what before an incident occurs
Clear Communication Protocols: Internal alignment and external transparency
Response Team Readiness: Technical experts, legal advisors, and trained spokespeople
Regular Testing & Drills: Simulations help uncover gaps and sharpen response times
Post-Incident Review: Lessons learned are fuel for continuous improvement
Common Threats to Watch For
Understanding the types of cyber threats can help your team respond faster and more effectively:
Phishing and Social Engineering
Malware and Ransomware
Insider Misuse or Negligence
DDoS Attacks
Credential Theft or Account Compromise
Each threat demands a tailored approach. Organizations that continuously evaluate their defenses are better prepared to act swiftly.
Communication Is Everything
In the middle of a cyber crisis, information flows fast—and misinformation spreads faster. A predefined communication strategy is essential for internal coordination and public reassurance.
Best Practices:
Use approved messaging templates
Designate a trained media spokesperson
Align crisis messaging across platforms
Regularly audit and improve communication channels
Evaluate and Improve Your Readiness
How quickly could your team respond to a breach today? Without regular assessments, it’s impossible to know.
✅ Key practices for readiness:
Conduct incident simulations
Benchmark response times
Align risk strategy with business priorities
Perform access reviews and threat hunting
The best response plans evolve. Incident response isn’t a checklist—it’s a living process that improves with experience and reflection.
Don’t Go It Alone: Partner with Experts
Internal teams may be limited by time, tools, or expertise. Working with cybersecurity partners like Peris.ai can strengthen your response capabilities, enhance monitoring, and reduce time to recovery.
A proactive, tested, and well-communicated incident response plan could be the difference between recovery and crisis. The time to prepare isn’t when a breach happens—it’s now.
Ready to build a stronger incident response strategy?
Visit Peris.ai to access expert insights, real-time threat defense solutions, and strategic support tailored to your business.
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.
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.
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.
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.
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.
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.
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:
Time to full resolution: 6 minutesManual 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.
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.
Introduction: Why Most Networks Aren’t Truly Watched
In today’s high-stakes digital landscape, cyberattacks don’t wait for business hours—and neither should your defenses.
Enterprise environments now face relentless attacks, from zero-day exploits and insider threats to ransomware and credential stuffing. The result? Overwhelmed SOCs, burned-out analysts, and alerts buried under noise.
Here’s the truth most organizations can’t admit:
❗ No one is consistently watching their network.
Peris.ai was built to solve this. By combining agentic AI and human analysts into one streamlined defense layer, we provide real-time, contextual, and cost-effective protection—across every industry and attack vector.
1. Why Traditional Network Monitoring Is Failing
Alert Fatigue
Analysts face 10,000+ alerts per day, with 90% being false positives. Real threats are often overlooked.
Delayed Detection
Manual triage means attackers can linger for weeks, moving laterally before they’re noticed.
⚙️ Tool Overload
Organizations average 45+ security tools, yet still lack unified visibility or correlation.
Skill Shortages
With a global shortfall of 4 million+ cybersecurity professionals, many businesses lack 24/7 human coverage.
❌ Lack of Context
Traditional tools treat all assets equally, failing to prioritize incidents based on business-critical systems.
2. What Modern Organizations Actually Need
Modern network defense isn’t just about logs—it’s about insight.
You need:
Always-on visibility
Automated alert triage
Contextual understanding of risk
Integrated response workflows
Human validation and escalation
3. Peris.ai’s Hybrid SOC Model: AI + Analysts in Action
Unlike traditional models, Peris.ai fuses machine intelligence with human expertise to offer:
24/7 monitoring with real-time alerting
Automated threat scoring & triage
Asset-aware decision making
Expert analyst validation
Rapid response via integrated platforms
This isn’t outsourcing. It’s human-AI collaboration at scale.
4. Under the Hood: The Architecture of Hybrid Defense
Agentic AI
Built into BrahmaFusion, Peris.ai’s decisioning core:
Correlates logs and behaviors across systems
Triages alerts by severity, impact, and threat patterns
Audit your current SOC model – Who’s watching when your team isn’t?
Check alert-to-action time – Are threats responded to, or just detected?
Evaluate hybrid options – Can your tools triage, escalate, and respond automatically?
Start with contextual awareness – Prioritize assets and use business logic, not just severity scores
Final Thought: Intelligence Is the Real Defense
Cybercriminals never stop watching your network. Shouldn’t someone on your side be watching back?
At Peris.ai, we don’t believe in choosing between humans or AI. We believe in combining them—to scale response, reduce risk, and stay ahead of threats.
Your network deserves more than just eyes on logs. It deserves AI-enhanced human insight and a platform that works with your resources—not against them.
