VulnIQ analyzes your codebase to determine whether CVEs are actually exploitable in your environment — not just whether the vulnerable package exists.
Security teams spend more time triaging false positives than fixing real vulnerabilities.
Traditional SCA tools tell you a vulnerable package is
present. They don't tell you whether your code actually
calls the vulnerable function, whether the
attack vector is
reachable from your entry points, or
whether your configuration
neutralizes the risk.
VulnIQ does.
VulnIQ connects to your repositories and uses AI to reason about exploitability — not just presence.
VulnIQ integrates with GitHub to pull your codebase and dependency manifest. Choose your LLM backend — on-prem for full data sovereignty, or cloud for maximum depth.
Continuously pulls from GitHub Advisory Database, NVD, and OSV. Always current, always correlated to your stack.
AI reasons over your actual code — call graphs, configuration, entry points — to determine real exploitability.
Get a ranked list of CVEs that actually matter, with plain-English explanations and suggested remediations.
Everything you need to cut through the noise and focus on what matters.
Understand exploitability in the context of your actual code, not just the vulnerable package version.
Run analysis on-prem with a local model (Ollama, Llama 3, CodeLlama) for full data sovereignty, or connect a cloud model for maximum reasoning depth. You choose the trade-off.
Block exploitable CVEs at the PR stage. Catch vulnerabilities before they reach production.
Every CVE scored by real-world exploitability, not just CVSS. Prioritize fixes by actual business risk.
Track vulnerability posture across your entire codebase portfolio in one place.
Generate compliance and audit documentation automatically. SOC 2, PCI, NIST-ready exports.
VulnIQ is in private early access. Join the waitlist and we'll reach out when we're ready for you.