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AI Research
arXiv CS.AI·Jun 12·6 min read
A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle
TL;DR
Long-term memory in large language model (LLM) agents presents new security challenges due to its persistent and stateful nature. A Memory Lifecycle Framework was developed to categorize attacks and defenses across six phases of memory management.
✦ Why It Matters
Engineers can implement the Memory Lifecycle Framework to enhance security in LLM applications from the outset.
Key Takeaways
- Adopt the Memory Lifecycle Framework for structured security analysis.
- Integrate security measures from the storage phase of memory.
- Focus on provenance and versioning for memory management.
- Establish governance policies to ensure memory integrity and confidentiality.
How It Works
The Memory Lifecycle Framework categorizes the memory management process into six distinct phases, allowing for targeted security measures at each stage. By addressing security concerns during the Write and Store phases, the framework ensures that vulnerabilities are mitigated before memory is accessed or executed.