Research · curated 15 Jul 2026
AI Reconnaissance: The Missing Layer in Chatbot Security
First reported akamai.com
Coverage timeline
Single-source research — first reported, latest, and curated coincide.
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.