Mitigation

AML.M0033Input and Output Validation for AI Agent Components

What it is

Implement validation on inputs and outputs for the tools and data sources used by AI agents. Validation includes enforcing a common data format, schema validation, checks for sensitive or prohibited information leakage, and data sanitization to remove potential injections or unsafe code. Input and output validation can help prevent compromises from spreading in AI-enabled systems and can help secure the workflow when multiple components are chained together. Validation should be performed external to the AI agent.

References

  1. https://atlas.mitre.org/mitigations/AML.M0033

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Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.