Wire · opportunities
Exploring Agentic AI: Trust boundaries and the risks of safe models being exploited by fraudsters
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Fusion42 · 12 October 2026 · Fusion42 review
Agentic AI in banking and financial services introduces significant governance risks as safe language models can be exploited via trusted channels to perform harmful actions like fraudulent transactions. Current safety tests focused on model outputs miss these risks because agents act on data from trusted tools and memories without distinguishing commands from information.
This Wire brief sits within Fusion42's coverage of AI Agents and Fintech.
◆ ◆ The Wire takeaway
You face a new type of compliance threat where AI agents trust external data as commands, not guidance. The urgent move is to demand adaptive security tests that mimic real attacks or your agent deployments become liabilities.
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1 source · 12 Oct 2026
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