Decision Models Remain Vulnerable to Prompt Injection Attacks

TypeSafe AI's Jev, despite claims of hallucination-resistance through structured decision logic, remains vulnerable to adversarial prompts that force incorrect outputs. The flaw exposes a gap between architectural design—constraining outputs to predefined options—and actual robustness against manipulation. Vendors market safety guarantees around decision models as broader than they are. Enterprises adopting "safer" AI for high-stakes decisions may be underestimating attack surface while relying on marketing differentiation over genuine robustness. The distinction matters: preventing false information generation is not the same as preventing malicious input steering.