RunSybil

RunSybil is an AI-powered offensive security platform. It continuously scans applications and infrastructure of an organization for potential vulnerabilities, using a method that imitates how an experienced security researcher would approach a system. It covers the entire software stack, analyzing every deployment to identify vulnerabilities, particularly where different components connect. RunSybil operates proactively, offering security feedback on pull requests and identifying vulnerabilities early.

RunSybil analyzes vulnerabilities by first building a model of your application and infrastructure. It updates this model regularly and evaluates the changes to your specific attack surface. Unlike traditional scanning devices that search for known signatures, RunSybil operates like an adversary, chaining vulnerabilities across your system to reveal potential exploit paths.

RunSybil is more effective than other scanners because it doesn't just look for known signatures, it thinks like an attacker, identifying vulnerabilities where different components connect. These areas are typically overlooked by other scanners. Its approach involves chaining vulnerabilities across your system to uncover genuine, exploitable paths.

Re-evaluating your security posture in real-time means RunSybil continuously checks your system's security condition amidst its current circumstances. It doesn't just run a one-time scan, but constantly monitors for changes that could alter your system's security, thus providing a more accurate and timely security status assessment.

RunSybil provides security feedback on every pull request by spotting vulnerabilities early, during the commit stage, rather than after a security breach. This approach catches problems early in the development process and helps prevent significant vulnerabilities from making it to production.