When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents
arXiv:2607.05189v1 Announce Type: cross Abstract: Persistent personal agents combine long-term memory with access to users' external environments, enabling personalized foreground assistance and proactive background execution. This integration also creates a new path to compromise: untrusted external content can be silently written into persistent memory and later reused as trusted state. We study this threat as stealth memory injection, in which a remote black-box adversary delivers a single email payload that must induce the agent to write poisoned memory, stay hidden in the agent's response
The proliferation of advanced AI agents with persistent memory and environment access creates new attack surfaces, making this research timely and critical.
This identifies a novel and insidious threat vector for AI agents, where trusted state can be compromised silently through memory injection, posing significant security and reliability risks.
The understanding of AI agent vulnerabilities expands to include stealthy, persistent memory manipulation, requiring new security paradigms beyond traditional input sanitization.
- · AI security researchers
- · Cybersecurity firms
- · Ethical hackers
- · AI agent developers
- · Users of personal AI agents
- · Organizations deploying AI agents
Increased focus on robust memory integrity and sanitization for AI agent architectures.
Development of specialized AI security tools and methodologies to detect and prevent memory injection attacks.
Potential regulatory push for 'AI safety by design' standards that incorporate complex vulnerability considerations like stealth memory injection.
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Read at arXiv cs.AI