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.
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.
Web3 authentication and account abstraction infrastructure enabling gasless transactions and simplified dApp onboarding; ERC-4337 implementation allows dApps to sponsor gas fees on behalf of users and accept ERC-20 token gas payment for mainstream-accessible wallet experiences.
Biconomy is a Web3 infrastructure platform focused on making decentralized applications usable by mainstream audiences who are not familiar with cryptocurrency gas mechanics. Its core product implements account abstraction via ERC-4337, allowing dApp developers to sponsor gas fees on behalf of users, accept gas payment in ERC-20 tokens instead of native currency, and batch multiple on-chain transactions into a single user action. These capabilities transform the user experience from one requiring native token balances and technical awareness into something closer to a conventional web application workflow.
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