RunSybil vs Tracecat
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI cybersecurity automating pen testing. $40M raised (Mar 2026, Khosla). Founded by OpenAI's first security hire and Meta red team lead. Backed by Anthropic.
About
RunSybil is a cybersecurity company automating penetration testing using AI, founded by two operators with exceptional offensive security credentials: OpenAI's first security hire and a former lead of Meta's red team. This founding pedigree is central to RunSybil's positioning — the company was built by practitioners who understand adversarial tradecraft at the highest level and designed the platform around the workflows and depth that real penetration testers employ, rather than retrofitting AI onto legacy vulnerability scanning approaches.\n\nTraditional penetration testing is expensive, slow, and point-in-time: organizations typically conduct manual pen tests annually or quarterly, leaving long windows of unassessed exposure between engagements. RunSybil's AI-driven platform enables continuous, automated penetration testing that mimics the creative, multi-step attack chains that skilled human testers would pursue — covering web applications, APIs, network infrastructure, and cloud environments with an aggressiveness and comprehensiveness that scheduled manual testing cannot match at scale or cost.\n\nThe company raised $40 million in March 2026 from Khosla Ventures, one of Silicon Valley's most prominent deep technology investors, reflecting strong conviction in both the market opportunity and the team's ability to execute. RunSybil enters the market at a moment when organizations face escalating cyberattack frequency and sophistication while security budgets remain under pressure to demonstrate measurable risk reduction. Automated offensive security testing is emerging as a critical capability for security teams that need to find and fix vulnerabilities at the speed attackers discover and exploit them.
SF YC W24 open-source SOAR security automation deployed by 200+ orgs (Fortune 500 + federal); $500K-$2M seed on Temporal's durable execution with 100+ integrations competing with Splunk SOAR and Tines for security incident response.
About
Tracecat is a San Francisco-based open-source security automation platform — backed by Y Combinator (W24) with $500,000-$2 million in seed funding from Y Combinator, Pioneer.app, Pioneer Fund, and SurgePoint Capital — providing security operations, IT, and infrastructure teams with a modern, cost-effective alternative to commercial SOAR (Security Orchestration, Automation, and Response) tools for automating security alerts, incident response, and IT workflows. Deployed by 200+ organizations from Fortune 500 companies to federal agencies, Tracecat is built on Temporal's durable execution platform (used by Datadog, Netflix, and Stripe) and offers 100+ integrations, AI-assisted runbooks, case management, and lookup tables. Founded in 2024 by Chris Lo and Daryl Lim.
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