Your teams are calling OpenAI and Anthropic from everywhere — apps, agents, copilots, and the occasional unsanctioned key. NIKSUN Connectors pull that activity into the data lake, so you can see usage, cost, latency, and data egress across every model call — and catch the shadow AI you didn't know about.
AI traffic is just another data type in the lake — correlated with the apps, users, and networks behind it, so an LLM call is never a black box.
Tokens, requests, and spend by app, team, and model — so AI cost stops being a month-end surprise.
Response times, error rates, and rate-limit events for every provider, correlated with the user experience.
Discover unsanctioned API keys and endpoints, and see what data is leaving for which model — before it becomes an incident.
Point NIKSUN's Connectors for OpenAI and Anthropic at your AI traffic. Every prompt, completion, token count, and latency metric lands in the same cross-correlated lake as your packets, flows, and logs — then Maya AI reasons across all of it.
Because AI traffic shares the lake with everything else, a single question returns the full picture — the calls, the cost, the data that moved and the app that made them.
Add AI observability to the platform that already watches your whole network.