Research
AI Reconnaissance: The Missing Layer in Chatbot Security
Publication date not yet evaluated · Added akamai.com
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Single-source research — one report is available.
Why it matters
AI reconnaissance shows that chatbot defenses focused only on final data-leak attempts miss an earlier information-gathering stage attackers exploit to build targeted prompt injections against deployed assistants.
Akamai's AI security research team describes "AI reconnaissance," a technique in which deployed AI assistants block direct requests for sensitive data but readily leak operational context — capabilities, boundaries, knowledge-base access, and tool/action surface — when asked simple, benign-looking questions. This leaked context lets attackers craft targeted, application-specific prompt injections that bypass model-level safety, and the authors argue runtime guardrails must detect this early probing stage of the attack kill chain.