AI Is Getting Really Good at Messing With Cybercriminals

Wired's coverage of AI‑driven honeypot deployments reveals that anti‑cybercrime teams are now using lifelike conversational bots to trick scammers into thinking they are real victims, effectively “scamming the scammers.” For website owners, this shift means AI bots will increasingly appear in traffic logs not as benign crawlers but as sophisticated, interactive agents designed to engage malicious actors. These bots can generate realistic dialogue, mimic human browsing patterns, and even attempt credential harvesting, blurring the line between legitimate user sessions and threat‑intelligence operations. Consequently, traditional bot detection tools that rely on simple user‑agent strings or request rates may miss these nuanced interactions, potentially inflating analytics and exposing sites to unintended data leakage. **Actionable tips:** 1. **Update your llms.txt** to explicitly list the AI honeypot providers (e.g., “AI‑Honeypot‑Inc”) and request that they respect your site’s crawl policies, reducing unwanted conversational probes. 2. Deploy behavior‑based detection (e.g., anomaly scoring on session length, input patterns) alongside llms.txt rules to flag interactive bots that mimic victim dialogue. 3. Regularly audit server logs for unusually long, back‑and‑forth POST requests that match known honeypot conversation templates, and route them to a sandboxed environment for safe analysis.