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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.

• Prompt Security GenAI Security Platform
  4.8

  5 Reviews

AI usage control (AI-UC) is a technology to discover the use of third-party AI and enforce the security policies of an organization. Key capabilities include enforcing granular data-sharing policies, automatically detecting and cataloging all AI tools (including shadow AI), and moderating content by filtering sensitive data in real time. AI-UC defines and enforces usage policies, inspects content for sensitive data, assesses risk, and raises alerts on anomalies. AI-UC is primarily delivered as a cloud-based service and may include multiple local inspection points. Typical users of AI Usage Control (AI-UC) are security, compliance, and IT teams, including CISOs, data privacy officers, and risk managers. Many current discovery tools treat AI applications as any other application. ignoring unique risks and integrations of AI in an organization's environment. AI usage control provides fine-grained categorization and intent-based policies, enabling safe adoption of third-party applications while mitigating security risks.

• Prompt Security
  4.7

  3 Reviews