AI Threat Detection and Mitigation Program
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Applying ISO/IEC 27090 helps organizations understand AI-specific compromise scenarios, strengthen security decisions and reduce exposure across training, deployment, inference and retraining workflows.
The standard supports informed decisions about AI-specific threats, safeguards and operational resilience.
When organizations can explain how they protect AI systems from model tampering, adversarial inputs and data poisoning, they strengthen stakeholder confidence. Documented testing and response processes help make those assurances credible.
Confidence also depends on how AI systems behave when exposed to unexpected or malicious interactions. Consistent monitoring and layered safeguards support dependable AI services, particularly where model outputs influence important decisions.

A structured approach to AI cybersecurity can improve operational resilience and strengthen confidence in AI adoption.
Shows a disciplined approach to model security and adversarial risk.
Builds confidence through credible AI protection and incident readiness.
Complements ISO/IEC 27001, ISO/IEC 27002 and AI management practices.
Supports stronger assurance conversations with customers and suppliers.
Reduces avoidable exposure from compromised AI behavior and data.
Supports broader AI adoption with better visibility into security threats.
Ready to learn more about AI Assets, Model Provenance and Attack-Surface Mapping?
