Ridge Security Launches RidgeGen™, an Enterprise-Grade Native Agentic AI Platform for Continuous Offensive Security Testing
New platform discovers unknown and exploitable cyber risks, validates them with transparent, evidence-backed AI, and accelerates remediation.
Ridge Security today announced the availability of RidgeGen™, an enterprise-grade native agentic AI platform for continuous offensive security testing. Unlike traditional automated security testing tools that primarily follow pre-defined catalogs, RidgeGen takes a fundamentally different approach. It's a multi-agent AI system that fully leverages the reasoning capabilities of modern foundation models. The agents continuously reason, test, validate, and recommend fixes in iterative AI loops. They're augmented by our proprietary security knowledge base, grounded through specialized toolchains, and protected by a strict three-zone security guardrail architecture to ensure every action stays within the user's intended scope.
The launch comes as artificial intelligence reshapes both software development and cyberattacks. As AI accelerates code generation and enables attackers to discover and weaponize vulnerabilities faster than ever before, traditional vulnerability scanners and periodic penetration tests are struggling to keep pace. Even existing automated penetration testing tools often fall short, providing limited findings that can leave organizations with a false sense of security. Security teams are increasingly overwhelmed with alerts but lack the evidence needed to determine which vulnerabilities represent real business risks and how to implement rapid remediation.
