Direct Platform Teardown
FailSafe vs. RunSybil
A comparative analysis between FailSafe SWARM and RunSybil across autonomous agent execution, attack surface coverage, and evidence validation.
Based on primary documentation as of October 2026 • Corrections: [email protected]
Core Shared Principles
- Autonomous AI Agents: Both platforms move away from rule-based DAST toward adaptive generative agent exploration.
- Exploitation Verification: Both focus on proving vulnerabilities with working exploit reproductions.
FailSafe Differentiators
- Enterprise Surface: FailSafe tests web apps, APIs, cloud environments, Active Directory, and native AI/LLM/MCP runtimes.
- Public Benchmark Evidence: FailSafe publishes #1 CVE-Bench v2.1.0 oracle-graded trajectories under MIT.
- In-House Cyber Models: FailSafe builds GlassBreak Flash V3 (post-trained with SFT and GRPO).
Questions & answers
Frequently asked questions
Common questions comparing FailSafe SWARM and RunSybil.
Both FailSafe and RunSybil build AI-driven offensive agents designed to automate vulnerability discovery and exploitation for web applications and APIs.
FailSafe provides an enterprise-ready continuous offensive testing platform with in-house cyber-model R&D (GlassBreak Flash V3), #1 standing on CVE-Bench v2.1.0, and auditor-accepted reporting across SOC 2, ISO 27001, PCI-DSS, and MAS TRM.