AI Security Atlas › All entries › Multi-Agent & Memory Trust
Memory Writes Without Provenance
Agents persist memories from any context source with no record of where the content came from.
Open in the interactive atlas →Impact
Untrusted retrieved content is promoted to trusted long-term state.
Why this severity
Impact High × Likelihood High = Critical
Impact high: untrusted content becomes trusted state. Likelihood high: the in-the-wild memory manipulation campaign relied on assistants storing memories from untrusted links.
Impact High: Code execution, credential compromise, exposure of regulated or confidential data, irreversible actions, or system-wide failure.
Likelihood High: At least one documented real-world incident, and the attack needs no access beyond what the system exposes to ordinary users or content (publishing to a public registry counts as ordinary).
Method: OWASP Risk Rating Methodology
Evidence
- Incident: AI Recommendation Poisoning via Crafted AI Assistant Links (MITRE ATLAS case study AML.CS0072, 2026)
- Demonstration: Hacking ChatGPT's Memories with Prompt Injection (MITRE ATLAS case study AML.CS0040, 2024)
Related
Exploited by
- Persistent Memory Poisoning Threat · Critical severity
- MCP Tool Description Poisoning Threat · Critical severity
Mitigated by
- Memory Provenance & Review Guardrail · Fixes critical risks
Remediation
- Store provenance metadata alongside each memory entry.
- Weight or exclude low-trust memories at recall time.
- Apply TTLs and periodic integrity review.
How to verify
- Memory store schema rejects entries missing a source field.
- Recall excludes entries flagged as untrusted.
Pattern
memory.write({ text, source: ctx.origin, trust: ctx.trust, ttl: '30d' });
Framework mapping
OWASP Top 10 for LLM Applications 2025
- LLM04:2025 Data and Model Poisoning
OWASP Top 10 for Agentic Applications 2026
- ASI06:2026 Memory and Context Poisoning
MITRE ATLAS
- AML.T0080.000 AI Agent Context Poisoning: Memory
NIST AI RMF 1.0
- MEASURE 2.4 AI system functionality and behavior are monitored in production