Harness agentic NetOps with Proof of Trust
Gluware Titan AI enables engineers build and operate through natural language while every proposed action remains constrained by enterprise policy, independently validated against network reality, and held to a defined outcome.
THE OPERATING CHALLENGE
Governance alone doesn't make agentic action trustworthy
Large language models can accelerate planning and creation, but their output is probabilistic. Probably right isn't an operational standard for mission-critical enterprise network infrastructure. Production networking requires deterministic controls around what an agent may do, plus independent proof that the action is technically valid to accomplish intent and whether execution converged on the intended result.
TITAN AI
Build agentically with assurance of governed, accurate outcomes.
Build faster with agentic assist
Titan AI gives your team superpowers to build validated components like Config Edit data models, audits, Regex expressions and more.
Validate independently
Check recommendations and proposed changes against live state, policy, topology, and platform semantics, powered by DIAL.
Converge on the goal
Allow reasoning to iterate until you receive a validated outcome that drives faster building and trusted execution.
THE SECOND ACT
Proof of Agentic Trust
Trust requires three independent properties. Governance determines whether an action is permitted. Validation proves that it should achieve the design intent. Convergence ensures execution continues until the intended, verified outcome is reached.
- Reason about the objective
- Generate the operational plan
- Validate against live state
- Execute through deterministic controls
- Verify or iterate to convergence
AGENTIC BUILDING FOR MAINSTREAM NETOPS
Titan lowers the barrier to creating models, integrations, and workflows, but it does so on top of independent Gluware platform validation to ensure accurate outcomes
Use AI to accelerate work without lowering your standards
Start your journey to trustworthy, validated automation and agentic NetOps.