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07/06/2026 8:59 pm
TL;DR: Snyk’s Evo preview extends application security into autonomous security orchestration, but it still does not authenticate agents or govern enterprise access, according to WorkOS. The core issue is that scanning AI systems is not the same as establishing identity, authorization, and auditability for production agents.
NHIMG editorial — based on content published by WorkOS: Snyk for AI Agent Security, Features, Pricing, and Alternatives
By the numbers:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials.
- When AWS credentials are exposed publicly, attackers attempt access within an average of 17 minutes and as quickly as 9 minutes in some cases.
Questions worth separating out
Q: How should security teams govern AI agents that can act on enterprise systems?
A: Security teams should govern AI agents like non-human identities with explicit authentication, narrow authorisation, and short-lived access.
Q: Why is AI security scanning not enough for production agent governance?
A: AI security scanning finds vulnerabilities, risky prompts, and unsafe behaviour patterns, but it does not prove who the agent is or what it may access.
Q: What breaks when AI agents are given access without identity governance?
A: What breaks is accountability.
Practitioner guidance
- Separate security testing from identity authority Keep agentic scanning, red teaming, and policy analysis out of the access decision path.
- Inventory every identity behind AI workflows Map the human administrators, service accounts, API keys, and tokens that the AI system uses.
- Restrict preview agents to non-production scopes Limit experimental agentic tools to isolated environments with tightly bounded data, short-lived credentials, and explicit rollback.
What's in the full article
WorkOS's full article covers the operational detail this post intentionally leaves for the source:
- The feature-level breakdown of Snyk Evo, including the Workflow Agent and specialist task agents used in agentic security orchestration.
- The product packaging and experimental preview context that matter when evaluating whether a system is ready for production use.
- The platform-specific comparison between Snyk’s AI security features and WorkOS authentication infrastructure, including what each one does and does not govern.
- The onboarding and pricing discussion for teams evaluating Snyk's core platform versus its preview agentic capabilities.
👉 Read WorkOS's analysis of Snyk Evo and agentic AI security limits →
Snyk Evo and AI agent security: what IAM teams should note?
Explore further
08/06/2026 8:44 am
Security scanning and enterprise identity are different control problems: The article correctly separates vulnerability analysis from authentication, but the market still blurs them in practice. Agentic tooling can find risky behaviour in AI systems, yet it cannot establish who the agent is, what it may access, or how its privileges expire. That makes identity the governable layer and scanning the supporting layer, not the reverse. Practitioners should treat security orchestration as evidence generation, not as an access authority.
A few things that frame the scale:
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation, according to AI Agents: The New Attack Surface report.
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials.
A question worth separating out:
Q: Should organisations use experimental agentic security tools in production?
A: Organisations should be cautious. Experimental agentic tools can be useful in testing and design partner environments, but production use demands stable access boundaries, clear ownership, and rollback procedures. If the tool influences live authorisation paths or handles sensitive identities, the preview label becomes a governance risk rather than a feature.
👉 Read our full editorial: Snyk Evo and the limits of agentic security for AI agents
