Mitigation

AML.M0031Memory Hardening

What it is

Memory Hardening involves developing trust boundaries and secure processes for how an AI agent stores and accesses memory and context. This may be implemented using a combination of strategies including restricting an agent's ability to store memories by requiring external authentication and validation for memory updates, performing semantic integrity checks on retrieved memories before agents execute actions, and implementing controls for monitoring of memory and remediation processes for poisoned memory.

References

  1. https://atlas.mitre.org/mitigations/AML.M0031

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

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Model Hardening
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Segmentation of AI Agent Components
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Erode AI Model Integrity
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Input and Output Validation for AI Agent Components
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Human In-the-Loop for AI Agent Actions
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Passive AI Output Obfuscation
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.