Gluware launches Titan Exposure Management for networks
Mon, 11th May 2026 (Today)
Gluware has launched Titan Exposure Management, a tool for detecting and remediating network vulnerabilities in enterprise environments. It is aimed at a longstanding gap in how companies assess and fix network CVEs.
The capability is part of the company's Titan AI platform. It is designed to identify which devices are actually affected by a vulnerability, then carry out or support remediation based on the live state of the network. The system links vulnerability advisories to real device configurations rather than relying on broad operating system assumptions.
The launch comes as security teams face growing pressure from faster exploitation cycles for newly disclosed flaws. In many organisations, network teams still handle CVE triage through blanket patching or manual investigation, an approach that can be slow and difficult to sustain across large estates.
Jim Frey, principal analyst for enterprise networking at Omdia, said patching models are under increasing strain as AI tools shorten the time between disclosure and attack.
“Mythos is overturning decades of patch management assumptions. Previously, when a CVE was issued, teams could assume plenty of time would pass before attackers could exploit the vulnerability, allowing for 30- to 90-day patching cycles,” Frey said.
“Now, the window between identification and exploitation is collapsing, and every vulnerability could become a zero-day issue. With AI-powered exploitation methods looming on the horizon, time to remediation is more important than ever. And with the likely coming tsunami of CVEs, network teams are at even greater risk of being overwhelmed by false positives,” he added.
Network focus
Security investment has historically centred on endpoints, identity systems and applications, while the network layer has received less attention in exposure management. Gluware aims to address that by tying CVE assessment to device settings, operational state and network intent models built through ongoing discovery across an estate.
Its Device Interface and Automation Layer, or DIAL, draws on more than a million development hours of network intent modelling and supports more than 56 operating systems across 22 vendors. Gluware says that foundation allows the platform to map feature-specific exposure to vendor advisories and reduce false positives that can trigger unnecessary operating system upgrades.
Jeff Gray, chief executive officer and co-founder of Gluware, said the urgency around the issue has shifted even though the underlying problem is not new.
“This is the first moment in time that everyone is saying, 'okay, we have to move now'. But we've been running this direction for years,” Gray said.
He also sought to distinguish the product from a wave of AI offerings built around large language models alone.
“We're announcing the opposite of vibe coding,” Gray said.
Titan Exposure Management can be used directly by network administrators through Gluware's platform, through automated workflows, or via its MCP server with agentic platforms including OpenShell and OpenShift AI for CVE analysis and remediation. Gluware describes the process as closed loop because it starts with vulnerability discovery and validation against the live network, then moves through remediation with safeguards intended to check actions against verified network state.
Operational claims
Gluware says the product can eliminate false positives that might otherwise result in thousands of operating system upgrades each week, improve time to remediation for relevant network vulnerabilities by 100 times, and move from 98% of CVEs going unremediated to full remediation. The figures were presented as company claims rather than independently verified benchmarks.
Ernest Lefner, chief product officer at Gluware, linked the release to the company's earlier work on network remediation.
“Our customers have consistently demonstrated that our platform offers 10x improvements in speed, accuracy, and coverage for network remediation,” Lefner said. “By unleashing the potential for safe and predictable agentic analysis and action, customers will get an additional 10x impact to the reliability and security of their network operations.”
Alongside the exposure management release, Gluware outlined other AI-driven functions due to be included in the wider general availability of Titan. These include natural-language requests for compliance audits, network state assessments, automation building, report generation, regex creation, output validation, and the generation of data models and network business logic in the Gluware development environment.
Gray said the network layer remains underrepresented in security operations despite its central role in enterprise infrastructure.
“Exposure has focused on compute and endpoints historically, not the network. The ability to give customers a real-time view of their attack surface and remediation is a significant bonus,” he said.
He added that the release is an early step in a broader push towards agentic network operations.
“Stay tuned. This agentic, AI-driven world is moving very fast. We'll be building on this toward a full agentic platform-driven response,” Gray said.