Best AI Usage Monitoring Platforms 2026
Security Boulevard, Monday, October 12th, 2026
How to evaluate AI usage control platforms by the vantage points and data sources they cover, not their feature lists.
Kovrr notes that 'AI monitoring' covers two markets: model observability for in-house apps, and what Gartner calls AI Usage Control, which tracks employees' use of third-party AI and enforces policy.
Picking from the wrong list is the most common mistake, and because network, browser, endpoint and identity vantage points each see only part of an interaction, architecture matters more than features.
The guide lists eight surfaces a platform should cover, including agents and MCP servers, LLM telemetry and DLP.
It advises buyers to count live integrations and to ask how each source collects data, attributes identity and refreshes.