The Fraud Boxer Podcast No One is Talking about the Downsides of Agentic AI
12 snips
Jan 26, 2026 
Simon Marchand, a 16-year fraud prevention and security veteran now at DataDome, discusses agentic AI and bot threats. He explores how autonomous agents outpace security, create new refund and deepfake risks, and blur signals that defeat old defenses. The conversation covers adopting trusted agents without blocking revenue, edge intent verification, and upskilling teams to handle AI-driven fraud.
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Agents Self-Improve Rapidly
- Agentic AI adapts and self-improves in real time, making it far more effective than traditional repeat-action bots.
- That real-time adaptation changes defensive timelines because agents can circumvent new protections within hours.
Adoption Outpacing Early Internet
- Agent adoption is accelerating far faster than early internet adoption and is already a growing portion of bot traffic.
- Forrester and DataDome metrics indicate substantial consumer willingness to use agents and rising agent share of bot traffic.
Don't Blanket-Block Bot Traffic
- Do not block all bot traffic because agentic buyers are high-intent customers ready to purchase.
- Instead, identify and accept legitimate agents while filtering malicious ones to capture that revenue stream.