Gluware unveils Titan AI automation system for enterprise networks
Gluware launches Titan, a validation architecture to verify AI-driven network automation for assurance and compliance.
Gluware has introduced its latest innovation in network automation: the Titan AI automation system. Designed with a focus on assurance, compliance, and control, this new architecture aims to integrate agentic artificial intelligence (AI) into production network infrastructure while addressing enterprise concerns about AI trustworthiness.
Built-in Validation at Every Step
The Titan architecture emphasizes a robust validation process at three critical stages of AI operation. Before any recommendations are made, the system ensures a detailed understanding of the existing network topology and state, reducing the likelihood of errors. AI-driven changes are then verified prior to implementation, allowing for audits and even reversals if necessary. This process is powered by Gluware’s proprietary Device Interaction Automation Layer (DIAL) technology, which has been tested on networks with up to 450,000 nodes.
Additionally, Titan supports safe collaboration between multiple AI agents. It integrates seamlessly with platforms like ServiceNow and NetBox, managed through Gluware’s Intelligent MCP Server to provide a unified environment for interaction between different AI systems.
Simplifying Network Automation
Titan offers significant benefits for both developers building automation models and operators managing networks. For developers, it streamlines the creation of automation workflows and improves integration with third-party tools. For network operators, Titan provides contextual AI guidance, rapid assessments of network node states using vendor commands, and outputs formatted for advanced process automation.
The system also enhances lifecycle management and compliance monitoring with detailed insights into upgrades, patching processes, and operational recommendations. Such features are designed to simplify the management of complex, hybrid, and multi-vendor network environments while minimizing manual intervention.
Early Adoption and Industry Focus
To validate its capabilities, Gluware has initiated Early Field Trials for Titan, incorporating components such as its MCP Server, DIAL-powered validation engine, Co-Pilot AI assistant, and IDE. Early adopters from industries including sports and entertainment, healthcare, and engineering are participating in these trials, testing the safety and scalability of AI-assisted network automation in complex environments.
According to Gluware, the Titan architecture prioritizes governance and trust, ensuring that every AI-driven action is fully aligned with enterprise intent and is reversible if necessary. This emphasis on compliance and risk mitigation is intended to provide organizations with confidence in leveraging AI for critical operations.
Leadership on Responsible AI
Gluware executives underscore the importance of accountability and trust in AI-driven automation. Ernest Lefner, Chief Product Officer at Gluware, stated, "With Titan, Gluware delivers the most trusted foundation for AI-driven automation, one that enables enterprises to adopt agentic AI with confidence and control. By pairing automation intelligence with deterministic control, every network change is verifiable, reversible, and compliant."
CEO and Co-Founder Jeff Gray added, "Titan is the architecture for responsible, AI-powered, and autonomous networking. Gluware is setting the governance and assurance standards that enterprises can trust. We're not just building an AI agent, we're building accountable, verifiable automation that engineers and enterprises can depend on."
Olivier Huynh Van, Gluware’s Chief Security Officer and Co-Founder, emphasized the dual focus of innovation and reliability, noting, "Enterprise networks demand both innovation and trust. Titan delivers this through built-in validation, observability, and governance."
As organizations increasingly explore AI-driven solutions, Gluware’s Titan system aims to provide a secure, verifiable framework for adopting advanced network automation while mitigating risks and ensuring compliance.
