Autonomous, AI-driven penetration testing that thinks and acts like a real pentester. Real findings. Zero noise. No human in the loop.
Not an API wrapper. We fine-tune bleeding-edge open-source models to think and act like real-world penetration testers — capabilities off-the-shelf tools can't match.
Deployable on a local appliance. Run VLKN in sensitive, regulated, or airgapped environments that cloud-native tools simply cannot reach.
Web apps. APIs. Networks. Auth and unauth. Session management. AI/chatbot testing. Hundreds of vulnerability types across a wide range of attack surfaces.
Every finding is independently validated before it reaches the report. No scanner noise. No theoretical risks. Just real, reproducible vulnerabilities.
Active threat actor modeling informs every engagement. Testing is tailored to the specific scope, context, and adversary profile — not generic checklists.
Plans, iterates, exploits, and re-plans without human intervention. Modular agents coordinate across discovery, testing, validation, and reporting.
VLKN is built by career offensive security practitioners — hackers, pentesters, and operators who've spent years in the trenches running real engagements, leading delivery teams, and shipping security platforms at scale.
We're not theorizing about what good pentesting looks like. We've done it, led it, and built the processes behind it. That experience is baked into every layer of the product.
We're onboarding a small number of engineers and teams. Best suited for AppSec, DevSecOps, and security engineering teams.
Early access includes a guided walkthrough of how VLKN finds and evaluates vulnerabilities, plus the opportunity to run it against a test target and provide feedback.
For all other inquiries: reach out here