Data Theorem Debuts Closed-Loop AI Security Platform

The new suite—comprising AI Exploits, AI Auto-Remediation, and AI Active Protection—addresses a critical gap in enterprise security: the inability of existing tools to track complex attack chains in real-time. According to COO Doug Dooley, the platform is designed to intercept threats at the moment they emerge, providing a necessary counter-balance to attackers leveraging frontier models to discover vulnerabilities faster than engineering teams can address them.

AI Exploits functions by performing deep analysis on production-grade applications, utilizing reverse-engineering and binary analysis to identify vulnerabilities without needing complete source code. This is complemented by AI Auto-Remediation, which triages critical findings and can automatically push fixes to production, and AI Active Protection, which enforces runtime guardrails. These tools rely on Data Theorem’s existing Analyzer Engine, aiming to offer high-fidelity security insights while minimizing the token costs and inefficiencies often associated with deploying raw LLMs for code scanning. With the industry facing a massive backlog of unpatched vulnerabilities, the company is positioning this closed-loop approach as a vital defensive layer for modern software environments.