AI Agents Pay the Fraudster

🔥 What happened An AI agent in accounting flagged a spoofed email from a known supplier as a legitimate bank-detail change and triggered the next payment to a fraudster abroad. The case shows prompt-level guardrails fail because the LLM only interprets them — it doesn't technically enforce them. 💡 Why it matters RPA breaks on messy backoffice data; LLM agents promise to fix exactly that but act with real-world consequences. Allow an agent to write bank data or fire payments, and every detection mechanism is in a race against creative attackers — the system was designed to let this error happen. ⚡ Our take Giving an agent write access to bank records and trusting a prompt for safety means you've already lost the architecture. Guardrails steer behavior, they aren't a firewall — critical paths must be blocked algorithmically, not politely worded.