Vulnerability Intelligence VULINT – Group-IB Knowledge Hub
Its effectiveness in identifying vulnerabilities depends on the organization maintaining an updated technology inventory list and having an effective inventory management system,6 which requires proper asset classification, timely updates and clear responsibility assignments. Its purpose is to minimize the risk of a security breach by reducing the attack surface and addressing vulnerabilities before they can be exploited, thereby protecting organizational assets, data and reputation. The vulnerability management process is a systematic approach to identifying and mitigating vulnerabilities in an organization. AI gives security teams powerful new ways to understand their environments, automate remediation at scale, and strengthen workforce capabilities.
Security teams need a continuously updated, automated inventory covering endpoints, servers, public-facing systems, network infrastructure, AI systems, cloud environments and ephemeral assets like Kubernetes pods. Organizations should design networks with a zero trust approach and focus first on reducing exposure across internet-facing systems, critical infrastructure, control planes, and trusted service infrastructure. Traditional dashboards and static detection rules will struggle under the volume of automated attacks. Organizations should leverage frameworks like Wiz SITF to map their SDLC threat model and identify «attack chains» where minor, isolated weaknesses are combined by AI to create a critical breach. Similarly, organizations are still accountable for vulnerable code from their supply chains, and they must proactively plan for and defend against attacks through exploitation of compromised code libraries.
By mapping these paths, you can see which vulnerabilities, when combined with other issues, create the most dangerous scenarios. Platforms with unified, graph-based context can automatically combine exploit likelihood (EPSS/KEV), external exposure, identity permissions, and data sensitivity to calculate real risk. This tells you which CVEs are just theoretical risks versus which ones are being weaponized right now.
End User Platforms and Products
Wiz’s Security Graph automatically connects vulnerabilities with attack paths, network exposure, and sensitive data to show which CVEs actually threaten your cloud environment. You move from reactively responding to incidents toward proactively preventing them through intelligence-driven patching. Building a strong vulnerability intelligence program requires pulling data from multiple sources and developing the right analytical capabilities. The key is focusing on fixes that eliminate real risk rather than trying to patch everything. Speed matters—in Q1 2025, 28.3% of exploited CVEs were observed being actively exploited in the wild within one day of CVE publication. Attack path analysis (APA) is a cybersecurity technique that identifies and maps how potential attackers could infiltrate your network and systems
Sourcing Comprehensive Vulnerability Intelligence: Steps to Success
- Businesses are often left navigating a turbulent sea of alerts, struggling to stay afloat amidst the flood of potential risks.
- The Identify service helps you focus on what matters most by combining your specific environment with current threat intelligence.
- Without clear guidance, the sheer volume of vulnerabilities can make it impossible to know where to focus efforts, leaving critical assets exposed to threats.
- Jon Bellard is the Head of Product at Rootshell Security, where he leads the development of innovative cybersecurity solutions.
Cloud-to-code correlation traces vulnerabilities in running workloads back to the source code repository and likely owner (where CI/CD integrations exist) for faster, more targeted fixes. This means you see not just a list of CVEs, but a ranked queue of fixes that eliminate real attack paths to critical assets. Attack path analysis shows how vulnerabilities combine with other risks to create exploitable pathways to critical assets. The Wiz Threat Center delivers real-time intelligence on emerging vulnerabilities and active exploitation, helping you prioritize patches based on actual threat activity instead of just severity scores.
The traditional window between a vulnerability’s disclosure and its active exploitation in the wild has already largely vanished; the primary concern now is the sheer number of exploits organizations will have to defend against simultaneously. In today’s cybersecurity landscape, we’re not just defending against human attackers, but also against tactics supercharged by AI tools. Identify the attack surface and prioritize vulnerabilities affecting internet-exposed systems, critical infrastructure, and assets that present the highest likelihood of exploitation or business impact.
Maintain a simple, accurate inventory of key asset classes, including endpoints, servers, public-facing systems, network infrastructure, and specialized devices such as medical equipment where applicable. Scan everything currently in scope, identify Critical and High findings, and remediate them according to agreed urgency and service levels. As organizations deploy AI agents, they also create a new attack surface that must be protected. AI may help accelerate patching, but emergency response still depends on clear human processes. Organizations need a highly automated, repeatable process for identifying missing firmware and security updates on network devices and for scheduling maintenance efficiently. Automated vulnerability scanning should cover every major operating system in use, including Windows, macOS, and Linux, across both endpoints and servers.
Organizations should proactively scan for secrets within their codebase that may be weaponized by adversaries and eliminate any practice of storing sensitive credentials in plaintext. Organizations have historically focused on patching and securing tangible assets like laptops, servers, and network infrastructure. The second provides foundational guidance for organizations that are still building core vulnerability management capabilities. AI-enabled adversaries can identify, chain, and weaponize weaknesses faster than traditional vulnerability management programs were designed to respond. The question is no longer just about proactive scanning and adherence to traditional patching SLAs; it is about whether organizations are empowering their workforce with the automation needed to eliminate manual toil.
This shift from reactive patching to proactive, risk-based security makes your https://callmeconstruction.com/news/debunking-common-myths-about-two-factor-authentication/ entire program more effective. This approach misses crucial context about which vulnerabilities attackers are actively exploiting in the wild. This approach is also called threat-informed vulnerability management, vulnerability intelligence, or KEV-driven prioritization. Is a cofounder of Intellect Technologies, a cybersecurity start-up that specializes in providing organizations effective protection against digital threats. This approach enables organizations to make informed decisions regarding their security postures and effectively prioritize remediation efforts, reducing their reliance on time-consuming scanning and reviewing processes, especially when dealing with a diverse range of technologies.
It’s time to move beyond patch-and-forget
Attempting to absorb this exponential increase in workload using legacy processes will result in severe overload and burnout for security and development teams. Now as threat actors leverage AI to significantly multiply their offensive output, enterprise defenders cannot rely on human-speed patching protocols to keep up. Historically, the https://synapsewaves.com/articles/phd-cryptography-programs-guide/ discovery of novel vulnerabilities and the subsequent development of zero-day exploits required significant time, specialized human expertise, and resources. The traditional window between vulnerability disclosure and active exploitation is gone; understand how to prepare for tomorrow’s threats as AI accelerates the adversary lifecycle.