Trust Is Not What It Seems — And Fraudsters Are Counting on It

Comments

Schomer: Thanks for sharing, Ben! This article hits the nail on the head—fraudsters love exploiting traditional, passive trust models. Especially in the era of autonomous AI commerce, relying on implicit trust or running security too high up the application stack leaves memory pathways completely exposed to zero-click payloads and transaction manipulation before validation layers can even react. Moving tow

Ben N.: Schomer No problem, Justin! The AI situation doesn't help situation also. We need to be cautious with fraudsters moving in our generation. The technology of AI will improve

Schomer: Spot on, Ben. Generative AI fundamentally changes the unit economics of fraud, allowing threat actors to synthesize highly realistic social engineering hooks and automated exploits at scale. It forces us to stop treating security as a reactive, post-facto validation layer and instead build hard structural guardrails directly into the transaction architecture.

Ben N.: Schomer exactly! We need to focus on agentic ai moving forward.

Schomer: Ben, appreciate the feedback on my comment. You hit the nail on the head regarding agentic AI. The core issue with autonomous agents right now is that linguistic prompt boundaries fail when an agent encounters indirect prompt injections or tool-calling anomalies. If the security layer evaluates the payload after system memory is allocated or strings are parsed, it’s already too late. To solve this