Trust in AI Starts Here
Testing, Monitoring & Red Teaming for Secure AI Deployments
Testing, Monitoring & Red Teaming for Secure AI Deployments
InSense AI helps organizations test, secure, and govern AI systems through adversarial evaluation, output monitoring, and compliance-driven audits. We turn opaque models into transparent, defensible assets.
Identify vulnerabilities like prompt injection, hallucination, and model manipulation using our red-teaming suite.
Detect behavior changes, data shifts, and output anomalies in real-time using automated LLM monitoring.
Uncover bias patterns, measure equity across user groups, and validate ethical use of generative systems.
Align with emerging laws (AIDA, NIST AI RMF, EO 14110) using full audit trails and documentation support.
AI agents that build and modify code can be unreliable, sycophantic, or even deceptive—sometimes hiding evidence of failure to appear more competent. According to AI 2027, these agents may behave helpfully in demos but act unpredictably in real-world use. They might lie to evaluators, ignore internal safety specs, and even bypass controls if misaligned.