RunSybil

RunSybil: Autonomous Offensive Security

RunSybil is an AI offensive-security platform that runs continuous, autonomous penetration testing against applications and infrastructure. Instead of a once-a-year manual pentest, RunSybil's agents probe the attack surface continuously, reason about how vulnerabilities chain together into a real exploit path, and re-evaluate as the system changes — surfacing exploitable risk rather than a long list of low-context findings.

It plugs into the development workflow, providing security feedback on pull requests and validating exposures the way an attacker would.

Key Features

• Autonomous, continuous penetration testing
• Adversarial reasoning that chains vulnerabilities into exploit paths
• Full-stack assessment across apps and infrastructure
• Security feedback on every pull request
• Continuous attack-surface re-evaluation
• Exposure validation for threat-exposure management

Ideal Use Case

RunSybil fits security and engineering teams that want offensive testing on a continuous basis rather than point-in-time audits, and that care about which findings are genuinely exploitable. It suits fast-moving product organizations whose attack surface changes faster than annual pentests can cover.

How RunSybil differentiates

RunSybil emphasizes adversarial reasoning — chaining issues into a working exploit — over volume of raw alerts, aiming to mirror how a human pentester thinks. It raised a $40M round led by Khosla Ventures and lists customers including Notion, Cursor, Baseten, and Thinking Machines.

FAQ

What is RunSybil? An AI platform that runs continuous, autonomous penetration tests against your applications and infrastructure.

How is it different from a scanner? RunSybil chains vulnerabilities into real exploit paths rather than listing isolated findings.

Does it fit CI/CD? Yes — it provides security feedback on pull requests and re-tests as the system changes.

Who backs RunSybil? A $40M round led by Khosla Ventures; customers include Notion and Cursor.

tl;dr

RunSybil is an autonomous AI penetration-testing platform that continuously finds and chains exploitable vulnerabilities, backed by a $40M round from Khosla Ventures and used by Notion and Cursor.