Data Theorem Introduces Closed Loop AI Security Platform

Data Theorem announced in a press release the release of what it calls the industry's first closed loop AI security platform. The new platform combines three capabilities, AI Exploits, AI Auto-Remediation, and AI Active Protection, delivering continuous protection from exploit discovery through runtime defense without requiring access to source code.

AI Exploits identifies exploit chains in running applications, using techniques such as reverse engineering and dynamic and static analysis. It operates without complete source code, allowing organizations to find vulnerabilities in live environments. The feature relies on Data Theorem's Analyzer Engine to chain exploits and identify reachable vulnerabilities.

AI Auto-Remediation automatically addresses critical exploits and vulnerabilities, applying fixes without manual intervention. It supports both automatic and human-in-the-loop review workflows and can deploy code patches directly into production environments.

AI Active Protection extends the company's existing API and mobile runtime tools to block attacks in progress and enforce runtime guardrails. It provides continuous runtime monitoring, AI abuse detection, and defense against memory scraping, prompt injection, and data exfiltration. All three capabilities are available immediately to customers, with the runtime SDKs already in use in production environments.
Data Theorem has announced a closed loop AI security platform with three components (AI Exploits, AI Auto-Remediation, and AI Active Protection) offering exploit discovery, automated remediation, and runtime defense without requiring source code.