Analysis
Why Your AI Application Is Exposed Snyk
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Why it matters
Chained risk across AI architecture seams means guardrails and conventional scanners can each pass while an attacker steers an LLM to invoke internal tools and achieve data exfiltration or unauthorized actions end to end.
Snyk's blog explains how modern AI applications remain exploitable through 'chained risk' where prompt templates, RAG, tool calls, and MCP endpoints combine to bridge untrusted prompts to backend execution sinks, even when individual scanners report no isolated vulnerabilities. The piece argues that DAST, AI penetration testing, and AI red teaming address three distinct lenses, and that no single tool covers cross-layer behavioral emergence.