Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS
Blog post from Snyk
Snyk presents Evo Continuous Offensive Security (COS) as an AI-driven platform combining AI pentesting, agent red teaming, and dynamic application security testing to continuously assess applications and AI systems in a manner intended to resemble human-led red-team exercises. In a black-box assessment of a multi-tenant SaaS application with hundreds of microservice endpoints, the company says its multi-agent approach performed authentication, reconnaissance, business-context inference, vulnerability testing, cross-validation, attack chaining, and reporting, ultimately identifying 33 confirmed issues. Two highlighted findings were an authorization and mass-assignment flaw in a legacy tenant settings endpoint that allegedly allowed low-privilege users to alter security-critical configuration and potentially compromise an entire tenant, and a CORS origin-reflection issue that could enable malicious websites to extract logged-in users’ access tokens. The company argues that its distinguishing capabilities are reasoning about business logic and authorization flaws that signature-based scanners may miss, independently validating exploitability to reduce false positives, and providing concrete proofs of concept and business-impact explanations to help organizations prioritize remediation.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Guardrails | 2 | 551 | 150 | 54 | +6% |
| LLM | 2 | 5,068 | 1,020 | 229 | -34% |
| Multi-agent systems | 1 | 432 | 163 | 64 | -19% |
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