By Ernest Lefner, Chief Product Officer, Gluware
A decade ago, high-frequency trading firms discovered that getting market data one millisecond faster than competitors was worth hundreds of millions of dollars annually. The trading algorithms were roughly equal. The infrastructure wasn’t. The firms that won didn’t have smarter code — they had faster pipes. Enterprise AI is about to teach the same lesson at a much larger scale.
The organizations that are realizing the most value from AI aren’t necessarily those with the most sophisticated models. They’re the ones whose infrastructure can match the pace at which AI operates. And with AI, we can expect continuous disruption.
Nothing has made AI disruption and the need for speed more relevant than the advent of Mythos, the forthcoming Anthropic model that is a world-class expert in finding and autonomously exploiting vulnerabilities.
Mythos exposes a dangerous gap: network teams simply can’t remediate fast enough to keep up with the discovery, let alone the exploitation of discovery of known vulnerabilities.
Fortunately, Gluware has been building for this moment for years. We’re equipping customers with AI-powered remediation to meet this emerging threat with the Gluware platform and Titan AI. But more importantly, Gluware can take any organization on a rapid journey to remediation readiness. Even if your network and automation picture is, shall we say, a bit messy, Gluware
can get you from wherever you’re at to remediation at velocity.
What Mythos Threatens and What it Demands in Response
Anthropic’s new Claude Mythos model has created serious waves in the industry, due to its ability to rapidly discover latent vulnerabilities and exploit them with autonomous reasoning. Early claims from Anthropic state that Mythos has already found thousands of high-severity vulnerabilities across major systems.
Mythos is not the first AI-driven threat that IT and network teams have encountered, but most of those have lived in the realm of social engineering, phishing, etc. Mythos’ ability to discover nuanced, technical vulnerabilities at speed introduces a dangerous, structural imbalance. Namely, IT and network teams can’t patch discovered vulnerabilities nearly fast enough. Some experts estimate that 99% of discovered vulnerabilities may remain unpatched.
Network teams sit at ground zero of the impact for two reasons. The first is that exploitation of network vulnerabilities has a massive blast radius. The second is that due to network complexities, long network equipment lifespans, and manual processes, networks are the most disadvantaged part of IT infrastructure when it comes to remediation speed.
That’s not where network managers want and need to be. Mythos is a powerful warning shot. Network remediation needs to be automation and AI powered, or else the network will become a sitting duck.
Titan AI Accelerates Network Remediation with Validation and Coordination of Autonomous Actions
What’s required for AI-powered network remediation? Letting agents take actions via an MCP portal to the live network isn’t nearly good enough. You need to trust that those actions are accurate and don’t introduce conflicts that can lead to network disruptions and downtime. That’s what Titan AI delivers.
Titan AI is the only network agentic platform that incorporates an MCP server equipped to ensure every AI action is validated, auditable, and fully aligned with network intent. The Gluware Intelligent MCP server contains industry-unique validation based on Device Interaction and Automation Layer (DIAL), a Gluware-only technology that allows discovery of network devices
across any interface (CLI/API), understands configuration semantics of dozens of network vendors and abstracts all discovered network state to a standardized, intent-based model.
Titan AI also features Gluware Co-Pilot, an agentic AI assistant that delivers contextual guidance to network teams, so they can execute at scale and speed.
For Gluware customers, Titan AI offers a path to the fastest possible remediation while ensuring safe and predictable outcomes.
Setting a Solid Foundation for AI-Driven Network Remediation
Unfortunately, for many organizations, the state of their network and foundational automation initiatives doesn’t place AI-driven remediation within reach. This is the reality gap that no amount of vendor marketing can paper over. What do you do if you find yourself in this situation?
The right answer must not require you to refresh half your devices, build a new network, blow things up and start over. The answer must work from where you’re at today. Fundamentally, to be ready for AI-driven remediation means you need to have a foundation of fast, trustworthy, validated automation that can be acted upon equally by humans, machines, and agents.
The problem is that for many organizations, their network and automation initiatives are not in a tidy place. Multi-generational, multi-vendor networks tend to resist automation for prosaic reasons. For example, not all devices may have APIs. Automation initiatives are evolutionary by nature, and in some cases are only partially working or not ready to scale.
The good news is that we built Gluware for just this problem. The Gluware platform was designed to take your network and automation from wherever you find yourself today, to your next win, and ultimately to automation and AI success.
Get Moving Now
Mythos calls for a response from network managers. Don’t wait to act, and make a pragmatic move to show how your organization can accelerate. Executives understand the threat that Mythos poses. Invest in a path to validated automation and AI now. You’ll thank yourself in 30, 60, and 90 days as your ability to deliver remediation at speed grows.
We know this because we’ve taken this journey so many times with our customers. Enterprises that recognize the need to build a validated approach for the network they have now (versus some idealized network of the future) move faster and scale more confidently. They’re the ones seeing SLA audits that once consumed 172 hours complete in 32 minutes. OS upgrades running 300 times faster with zero defects. Network security policy compliance reaching 100%. Not because they deployed better AI tools for the business but because they made the infrastructure beneath those tools equally intelligent.
Here are a few things you can do to move forward:
- Attend our webinar, “Mythos: The Network Manager’s Action Plan” with Omdia Principal Network Analyst Jim Frey and Gluware Chief Product Officer Ernest Lefner.
- Explore Titan AI and its product foundations.
- Request a demo today and we’ll help you build AI-driven remediation.
