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39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
---
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name: ai-agent-security
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description: Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.
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license: MIT
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metadata:
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author: devops-skills
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version: "1.0"
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---
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# AI Agent Security
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Protect agentic systems from adversarial input and unsafe tool execution.
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## Threats to Model
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- Prompt injection through untrusted content
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- Excessive permissions on tools and APIs
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- Data exfiltration via model responses
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- Cross-tenant context leakage
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## Security Controls
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1. Isolate tool execution with strict allowlists.
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2. Add policy checks before sensitive actions.
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3. Limit token scope and credential lifetimes.
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4. Apply output filtering for sensitive data.
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5. Log every privileged tool invocation.
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## Incident Readiness
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- Keep immutable audit trails for prompts and tool calls.
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- Build kill switches for high-risk tools.
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- Run regular red-team scenarios.
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## Related Skills
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- [llm-app-security](../llm-app-security/) - Application-layer LLM defenses
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- [threat-modeling](../operations/threat-modeling/) - Structured risk analysis
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