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 API protection products as a category of specialized stand-alone security products focusing on protecting APIs from exploits, abuse and access violations, and assisting in remediating API exposures. These products offer features such as API discovery, API security testing, API posture management and runtime protection utilizing behavioral analysis. They should provide coverage for the internal- and external-facing APIs, and third-party APIs that organizations may consume. API protection products are delivered as cloud-based and on-premises solutions. Deployment can be offered in-line by intercepting ingress/egress API calls or out-of-band by deploying agents on application workloads and/or scanning code repositories.