"RunSybil's AI agent, Sybil, conducts continuous autonomous penetration tests against live applications-finding, exploiting and documenting real security vulnerabilities without humans in the loop. That's different from other security tools currently making headlines, such as Claude Code Security, which analyzes source code in applications for known vulnerabilities before it is deployed."
"RunSybil instead tests software that is already running, probing live systems the way a hacker would-by exploring systems, chaining vulnerabilities together and testing authentication boundaries to find paths to sensitive data."
"RunSybil argues this kind of automation is becoming necessary as AI reshapes how companies operate. Procurement, legal, finance, engineering and operations are all being rebuilt with AI-including the growing use of AI agents. Yet security testing is still often treated as a discrete, scheduled event managed by a separate team."
RunSybil, an AI cybersecurity startup, raised $40 million led by Khosla Ventures with participation from major investors including Anthropic's Anthology Fund and angels from OpenAI, Google, and Palo Alto Networks. The company's AI agent, Sybil, performs continuous autonomous penetration testing on live applications, discovering and documenting real security vulnerabilities without human intervention. Unlike static code analysis tools, RunSybil tests running software by exploring systems, chaining vulnerabilities, and testing authentication boundaries like hackers would. The company automates traditional penetration testing, bug bounty programs, and red team exercises, addressing the need for continuous security testing as AI increasingly reshapes business operations across procurement, legal, finance, engineering, and operations.
#ai-cybersecurity #penetration-testing-automation #venture-capital-funding #vulnerability-detection #ethical-hacking
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