AI Security KPIs: Measuring the Effectiveness of Enterprise AI Security Controls
Enterprise AI adoption is expanding rapidly. Organizations are introducing AI agents, LLM applications, copilots, RAG systems, automation platforms, and AI-enabled SaaS tools into everyday business operations. Security controls are also being introduced to manage these environments. But implementing controls is not enough. Organizations need to know whether those controls are actually reducing AI-related risk. That is the purpose of AI Security KPIs. What Are AI Security KPIs? AI Security Key Performance Indicators are measurable indicators used to evaluate how effectively an organization protects its AI systems, applications, identities, data, agents, and connected infrastructure. They can help measure areas such as: AI asset visibility Security assessment coverage Risk remediation Data protection Access control AI agent security Monitoring Incident response Governance Compliance Third-party risk The objective is to turn AI security from a collection of individual activities into...