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Deploy agents as honeypots to build proprietary defensive data moats
◆ 65RelevanceOn a story from TechCrunch AI3h ago
Most founders use agents for productivity, but deploying them as active honeypots builds a unique data moat. This allows you to capture live attack vectors and train defensive models on data your competitors cannot easily scrape or buy.
Takeaways
- Deploy agents as honeypots to capture live fraud patterns at scale.
- Adversarial data collection creates a defensible moat for security-focused AI.
- Automate the intelligence cycle by putting agents in the line of fire.
Read the original at techcrunch.com
Apate sends AI agents undercover to get scammed so they can gather fraud intelligence
fmode.me/n/apate-sends-ai-agents-undercover-to-get-scammed-so-they-can-gather-fraud-intelligence
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to TechCrunch AI.
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