Uncover Prompt Injection, Insider Threats With The Tenable One Model Refusal Detection
Tenable, March 26,2026
Tenable One's new Model Refusal Detection turns an LLM's refusal to execute a risky or suspicious prompt into a high-fidelity early warning signal. It helps you uncover and stop prompt injection attacks, insider threats, and other risky user behaviors before they escalate into a breach.
Key takeaways:
AI has shifted traditional cyber detection methods away from security data analysis and toward human language analysis. This shift makes AI adversarial attempts harder to detect and increases data privacy risks.
An LLM's 'model refusal' response could be a high-fidelity warning of an active attack. While LLM responses vary, a single refusal often provides a roadmap for attackers to refine their prompts until they succeed.
The new Model Refusal Detection from Tenable One AI Exposure adds a 'defense-in-depth' layer, turning model responses into an early-warning system to neutralize adversarial behavior before a successful bypass occurs.