Data Theorem, Inc., a provider of modern application security, has announced three new AI security capabilities: AI Exploits, AI Auto-Remediation, and AI Active Protection, all without the need for source code. Together they form a closed-loop platform spanning exploit discovery, remediation, and runtime defense. These capabilities are built for the security teams now responsible for every AI-generated exploit and attack reaching their applications.
Enterprise demand for application security is climbing fast. According to the Gartner® Magic Quadrant™ for Application Security Testing, “The AST market is projected to reach $5.1 billion in 2025, continuing a trend of rapid expansion.”¹ That growth tracks a basic shift in how software is built: enterprise applications now run on AI, and AI brings a class of risk that traditional security tools were never designed to handle. Most security conversations now begin with the same question, “Which exploitable attack chains are inside our applications right now?” Few teams can answer it.
Data Theorem’s platform follows a three-step loop built on the company’s decade of Application and API security experience: discover every exploitable attack chain, automatically remediate the riskiest findings, and protect applications at runtime. The three AI security capabilities announced each own one stage of that loop.
“The attack surface changed the moment the first AI-discovered zero-day went live. Attackers can now use AI to chain exploits faster than any engineering team can patch them. The answer is a platform that can find the exploitable chains, automatically fix them, and enforce guardrails at runtime, at scale. That’s what we’re shipping today for all customers.” Doug Dooley, COO, Data Theorem
