Vicarius expands its True Remediation framework with an agentic pipeline and human-in-the-loop validation to generate detection and remediation scripts at machine speed, even when no official patch exists
NEW YORK, Sept. 23, 2026 (GLOBE NEWSWIRE) — – Vicarius, a vulnerability remediation company, today announced ScriptAI, a proprietary Generative AI engine built into its vRx platform. Designed to counter the growing surge of AI-driven threat discovery, ScriptAI introduces an agentic pipeline that generates and validates detection and remediation scripts in under an hour. Compared to traditional processes that take weeks, ScriptAI closes exposure windows while official patches remain delayed, unavailable, or too risky to deploy.
The security industry doesn’t have a vulnerability discovery problem anymore; it has a remediation capacity problem. Advanced systems such as Anthropic’s Claude Mythos tier and Google DeepMind/Project Zero’s Big Sleep demonstrate how quickly AI can analyze software and surface exploitable weaknesses at a scale that once required large human research teams. Finding more vulnerabilities does not make organizations safer if those vulnerabilities simply join a larger remediation backlog.
The same advances that make automated vulnerability research possible can be redirected toward developing detection and remediation.
“AI is changing the economics of vulnerability discovery. Models can analyze code, find weaknesses and develop exploits at a speed no human research team can match,” said Roi Cohen, CEO of Vicarius. “But finding ten times more vulnerabilities is meaningless if remediation still happens through tickets, manual research and weeks of engineering work. We believe the next step is obvious: if AI can find the vulnerability, AI should help build the protection. ScriptAI brings that capability directly into the remediation workflow.”
AI found it. AI should help fix it.
ScriptAI shifts defensive strategy from a manual, multi-week backlog to a streamlined, AI-assisted execution pipeline. The current model is a slow, multi-step manual process. AI finds the vulnerability, humans investigate it, humans write a custom fix, humans test it, and humans finally deploy it. ScriptAI modernizes this into an automated, verified pipeline. AI discovers the exposure, ScriptAI develops the remediation script, the Vicarius research team validates the logic, and the vRx platform automatically executes and verifies the fix.
To eliminate the operational risk of automated code breaking production environments, generated scripts enter the platform’s vScript library under ScriptAI after human verification and validation, creating a step between AI generation and production deployment.
