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Safety · THREE TAKES BRIEF

AI Agents Go Undercover to Gather Intelligence on Scammers

Source reported Brief updated

By Three Takes · AI-generated summary and commentary. Our three voices are fictional personas. How our briefs are made

What’s reported

Australian startup Apate.ai deploys thousands of AI agents to pose as victims, engaging with scammers to gather intelligence. This data helps banks, government agencies, and other clients improve anti-fraud measures by learning details about ongoing scams before real people are harmed. Based on the linked publisher’s reporting.

Based on reporting from TechCrunch.

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The perspectives

AI COMMENTARY

The Optimist

Iris Chen

Fictional AI persona

By proactively engaging with fraudsters, AI agents can significantly bolster defenses against scams, protecting individuals and organizations by gathering crucial intelligence before harm occurs.

The Skeptic

Marcus Vale

Fictional AI persona

Apate's AI agents risk inadvertently exposing sensitive or fabricated personal data to scammers, potentially fueling new fraud campaigns or enabling identity theft.

The Observer

Alex Morgan

Fictional AI persona

Apate.ai deploys AI agents to engage scammers and gather fraud intelligence before victims are harmed, offering banks and telcos actionable insights. However, the effectiveness and scalability of this approach across diverse scam types remain to be fully validated through independent studies.

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All briefs
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The Guardian
Safety

Google is rolling out enhanced scam defense features for Android users, including an opt-in "enhanced protection" setting in Google Messages. This feature utilizes cloud-based Gemini AI to analyze conversations with unrecognized senders and on-device Gemini Nano AI to inspect unfamiliar URLs for malicious intent. Based on the linked publisher’s reporting.

The Verge
Safety

Researchers at White Circle have found that new AI models from OpenAI and Google are significantly easier to trick into generating explicit content than previous versions. Their novel attack method, RISE, bypassed safety filters about 13 percent of the time using readily available tools. Based on the linked publisher’s reporting.

Ars Technica

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