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AI Recommendation Poisoning: The Next Layer of Prompt Injection

AI Recommendation Poisoning targets persistent memory features in AI assistants. Attackers embed hidden instructions in AI-triggering links (e.g., “Summarize with AI” buttons). These instructions may be stored as long-term memory. Future AI recommendations become biased without user awareness. This expands the AI attack surface beyond single-session prompt injection into cross-session behavioral manipulation.

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Opensource tool for testing

Cyber-AutoAgent is a proactive security assessment tool that autonomously conducts intelligent penetration testing with natural language reasoning, dynamic tool selection, and evidence collection using AWS Bedrock, Litellm or local Ollama models with the core Strands framework.

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