Gluware, the industry leader in intelligent network automation, has announced Titan Exposure Management, a critical new capability within its Titan AI platform. This feature is designed to address a major failure in enterprise network security: the inability to rapidly and accurately identify which specific devices are affected by vulnerabilities and remediate them at scale. By utilizing closed-loop agentic remediation, the tool compresses weeks of manual investigation into mere minutes. This launch comes as security teams face a new era of AI-powered exploitation, most notably demonstrated by the Anthropic Claude Mythos Preview, which has significantly accelerated the window between vulnerability discovery and active exploitation.
Titan Exposure Management provides feature-level CVE assessment and automated remediation.
The capability launches with the General Availability of Gluware Titan AI on June 10, 2026.
It addresses the threat of AI exploitation tools like Claude Mythos, which can discover and exploit flaws in under 24 hours.
Gluware claims a 100x improvement in time-to-remediation for relevant vulnerabilities.
The solution supports 56+ network operating systems across 22 vendors.
Integration is available for agentic platforms like OpenShell and OpenShift AI via Gluware’s MCP server.
Current CVE management often forces security teams to choose between broad, disruptive "brute-force" OS updates or slow, manual investigations. Gluware’s solution is anchored in its proprietary Device Interface and Automation Layer (DIAL) technology, which maintains a continuously validated map of every device's configuration and state. This allows the system to identify exactly which devices are affected by a CVE based on their specific features and operational status, rather than just their version number, effectively eliminating the false positives that lead to unnecessary downtime.
"Mythos is overturning decades of patch management assumptions," said Jim Frey, Omdia Principal Analyst. "The window between identification to exploitation is collapsing, and every vulnerability could become a zero-day issue. Time to remediation is more important than ever."
The process is designed to be fully "closed-loop," meaning it handles discovery, validation against the live network, and the execution of safeguards to ensure predictable outcomes. Whether executed by a human administrator, an automated workflow, or an AI agent, every action is verified against the network's current intent model. This is particularly vital for brownfield (legacy) networks that often lack consistent documentation or automation history.
"AI-powered exploitation methods are looming on the horizon," said Jeff Gray, Gluware CEO and Co-Founder. "The missing piece is reliably mapping what's in the network to CVEs so that admins and agents can confidently take action. This new capability changes the game."
Beyond exposure management, Gluware announced several natural language-driven capabilities for the Titan platform:
Dynamic Compliance Audits: Automated security checks using simple voice or text prompts.
Network State Assessments: Real-time error checking across multi-vendor environments (Palo Alto, Cisco, Juniper).
Low-Code Automation Building: Creating self-service forms and business logic through natural language.
Titan AI General Availability
Titan AI, including Exposure Management, will be generally available on June 10, 2026. Demos will be provided at the Red Hat Summit 2026 (May 11-14) and the ONUG Spring AI Networking Summit 2026 (May 13-14).
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