RunSybil

RunSybil is an AI-powered offensive security platform designed to continuously test applications and infrastructure for exploitable vulnerabilities. Rather than relying on signature-based scanning, the platform uses adversarial reasoning to simulate how an attacker would approach a target system, chaining vulnerabilities across code, APIs, cloud, and infrastructure layers to surface real, exploitable attack paths. The platform integrates into the software development lifecycle, providing security feedback on every pull request and re-evaluating the attack surface with each deployment. This continuous cadence is positioned as an alternative to traditional point-in-time penetration tests and bug bounty programs, which the company characterizes as slow, expensive, and prone to going stale. Key use cases include: - High-risk application security testing for systems handling customer data and transactions - Continuous attack surface monitoring tied to deployment cycles - Multi-tenant and business logic testing (e.g., cross-tenant data access, privilege escalation, broken authorization) - Replacement or augmentation of bug bounty and pentesting programs - Cloud and infrastructure security validation, including IAM misconfigurations, container escapes, CI/CD secret exposure, and lateral movement paths RunSybil also positions its platform within the Continuous Threat Exposure Management (CTEM) framework, specifically owning the validation phase by proving whether discovered exposures are actually exploitable. The company has raised $40 million in funding led by Khosla Ventures. Customers include Notion, Cursor, Turbopuffer, Base Ten, and Thinking Machines.