AI-powered honeypots: Turning the tables on malicious AI agents

Summary: Cisco Talos described using generative AI to stand up adaptive honeypots, built from three components: a TCP listener, a simulated vulnerability (in the example, credentials admin/password123), and a ChatGPT instance that responds to the attacker's input. Talos argued that AI-orchestrated attack tooling trades stealth for capability, and that AI systems lack awareness and can be fooled through prompt injection or into interacting with systems that are not what they appear to be.
Bottom line: Talos's point is that automation constrains attackers as well as amplifying them: an AI agent that must interact and hold context can be misled, studied, and manipulated, which turns the attacker's own speed into a source of defender visibility.

Read the original at Cisco Talos ↗

Topics: Threat Actors & Nation-State
Mentions: CVE-2014-6271
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