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RunSybil

AI-powered pentesting that thinks like elite hackers.

Other· 4.5·0 saves·Freemium

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AI-powered pentesting that thinks like elite hackers.
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About RunSybil

RunSybil is an AI-powered offensive security platform designed to continuously scan the applications and infrastructure of an organization for potential vulnerabilities. Using a method similar to how an experienced researcher would approach a system, it spans your software stack and analyzes every deployment to identify exposures. It's particularly effective in pinpointing vulnerabilities where different components connect, a detail often overlooked by other scanners. RunSybil operates on a proactive basis, re-evaluating your security posture in real-time to suit your system's current conditions. It also provides security feedback on every pull request, spotting vulnerabilities early rather than after a breach. Unlike traditional scanning setups that often look for known signatures, RunSybil thinks like an actual attacker, chaining vulnerabilities across your system to uncover genuine, exploitable paths. Five main uses of RunSybil include continuous attack surface monitoring, multi-tenant and business logic testing, bug bounty and pentesting, cloud and infrastructure security validation, and enabling CTEM programs. It builds a model of your application and infrastructure, updates it regularly, and evaluates the changes to your specific attack surface to disclose only new or relatively exploitable risks. In terms of cloud security, it identifies how an application vulnerability turns into the starting point for a full infrastructure compromise. RunSybil provides continuous offensive testing, transforming your CTEM program from a simple framework to an operational reality.

Pros

  • Continuous offense testing
  • Proactive security posture adjustment
  • Security feedback on PRs
  • Thinks like an attacker
  • Multilayer vulnerability chaining
  • Cloud and infrastructure security
  • Real-time applications and infrastructure scanning
  • Pinpoints connection component vulnerabilities
  • Continuous attack surface monitoring
  • Multi-tenant and business logic testing
  • Bug Bounty and pentesting support
  • Identifies starting points for compromise

Cons

  • Constant real-time scanning may affect performance
  • No mentioned support for legacy systems
  • No explicit data privacy measures
  • Not clear on remediation insights for issues
  • No multi-language support mentioned
  • No customization options stated
  • Lack of integrations with other security tools
  • No emergency support or SLA mentioned
  • Potential for false positives not addressed
  • No mention of handling encrypted data

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