Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework
Long-term memory has emerged as a foundational component of autonomous Large Language Model (LLM) agents, enabling continuous adaptation, lifelong multimodal learning, and sophisticated reasoning. However, as memory systems transition from static retrieval databases to dynamic, agentic mechanisms, critical concerns regarding memory governance, semantic drift, and privacy vulnerabilities have surfaced. While recent surveys have focused extensively on memory retrieval efficiency, they largely over
Record details
Published: 12 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
MemArchitect: A Policy Driven Memory Governance Layer
arXiv · 18 March 2026
Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
arXiv · 19 March 2026
End-to-End Evaluation and Governance of an EHR-Embedded AI Agent for Clinicians
arXiv · 30 April 2026
AI Agents May Always Fall for Prompt Injections
arXiv · 17 May 2026
POLAR-Bench: A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents
arXiv · 18 May 2026
Data Flow Control: Data Safety Policies for AI Agents
arXiv · 4 June 2026
How to cite this record
ethics.ai (12 March 2026), “Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework,” evidence record 7340, https://ethics.ai/record/7340 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.