AI Security and Anomaly Detection is a market focused on providing runtime protection and monitoring for AI applications, particularly those using generative models like large language models (LLMs). These solutions detect and mitigate risks such as prompt injection, hallucinations, toxicity, biased outputs, data leakage, and performance drift. Delivered as cloud-native modules via APIs or embedded within applications, they offer real-time visibility into content and security anomalies. The market supports compliance with emerging regulations, enables centralized oversight across multiple AI deployments, and helps organizations safeguard their brand and decision-making processes from faulty or malicious AI behavior.
Gartner defines identity governance and administration (IGA) as the solution to manage the identity life cycle and govern access across on-premises and cloud environments. To accomplish this, IGA tools aggregate and correlate disparate identity and access rights data, and provide full capability controls over accounts and associated access.