June 2026Unreviewed
Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees
Yedidel Louck
Abstract
LLM agents increasingly rely on persistent long-term memory, which creates a critical vulnerability that we study here: memory poisoning. An adversary can store untrusted content in one session that later steers a consequential action, such as a payment, a setting change, or data exfiltration, in a future session. Existing defenses base a memory item's authority to act on either its content (detection or trust-scoring) or its derivation history (lineage). We show that both signals are malleable.
Categories
Framework mappings
OWASP Top 10 for LLM Applications
- LLM04Data and Model Poisoning
OWASP Top 10 for Agentic Applications
- ASI06Memory & Context Poisoning
MITRE ATLAS
- AML.T0020Poison Training Data
- AML.T0080AI Agent Context Poisoning
Suggested from the entry's categories.
Cite
@misc{louck2026securing,
title = {{Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees}},
author = {Yedidel Louck},
year = {2026},
month = jun,
eprint = {2606.24322},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2606.24322}
}