Introducing Agent Security
2026-03-23T20:52:07Z•c7c5d6e0fc27af38aed568685fa4739080791c07d0ed268cbdfdf08d72eab805
AI securityAI‑generated codeAppSecEvo AI‑SPMLLMSan FranciscoSnykTesslagent securityattack surfacedynamic testinginnovation huboffensive testingruntime securityskill registrysupply chain security
What happened
Snyk announced a coordinated set of AI security initiatives: a new Agent Security approach and the general availability of Evo AI‑SPM to govern agents from code to runtime; advocacy for combining static analysis with offensive dynamic testing to find real exploitability in AI‑generated code (noting ~62% of LLM‑generated code tests insecure); a partnership with Tessl to add Snyk scanning and security scores to the Tessl Skills Registry; and a new San Francisco innovation hub to drive community work on AI security. The collection emphasizes runtime governance, supply‑chain scanning for agent “技能
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- snyk_blog
- Record identifier
- c7c5d6e0fc27af38aed568685fa4739080791c07d0ed268cbdfdf08d72eab805
- Enrichment time
- 2026-03-23T20:52:07Z
- AI-assisted enrichment
- Yes
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