Enterprise AI Governance Tool

No. Token consumption for Claude, ChatGPT, Cursor, and Gemini is tracked via direct API, no browser plugin or endpoint agent required. The browser extension is a separate, optional deployment used for shadow AI discovery and prompt-layer enforcement on unapproved tools.

Anthropic shows total consumption and billing. CloudEagle adds per-user attribution, model-level breakdown (Opus vs Sonnet vs Haiku), department and team cost allocation, threshold alerts, dormant user identification, and 90-day consumption trends, the data Finance and Procurement actually need.

The default is a soft redirect, a flash page that shows the approved alternative and lets the employee request an exception. Hard blocking via Palo Alto integration is available but optional. Most customers start with soft enforcement because hard blocks create workarounds within 48 hours.

CASBs operate at the network layer, they can't intercept at the prompt or track token-level spend. LLM gateways cover API-connected usage only and miss browser-based AI access entirely. CloudEagle closes both gaps and adds spend attribution and AI lifecycle governance that neither covers.

Average onboarding is 30 minutes. Connect your SSO, finance system, and optionally a CASB or firewall source. Most customers see their complete AI inventory within the first session.

 Yes. CloudEagle integrates with and complements your existing stack. It ingests signals from Zscaler and CrowdStrike for discovery, and can operate alongside policy enforcement tools while you evaluate consolidation. It doesn't require replacing anything to get started.

The CISO focuses on risk exposure, which AI tools are accessing sensitive data, vendor risk profiles, and whether enforcement is in place. The CAIO focuses on governance and adoption, which models are being used, at what cost, whether usage aligns with business value, and whether the AI program has an audit trail for regulators. CloudEagle gives both views from the same platform.

Yes. CloudEagle.ai's Universal Connector ingests usage data via S3, a script extracts the tool's admin export on a schedule and CloudEagle correlates it automatically.

 It requires four things: a real-time inventory of every AI tool in use, documented access controls, evidence that policy is enforced technically (not just on paper), and vendor risk scores. CloudEagle.ai produces all four continuously, not assembled manually when an auditor asks.

As soon as AI tools appear in the environment. One customer found 10,000 ChatGPT installs they had never approved — most organizations discover this after an incident. The earlier governance starts, the less retroactive cleanup is required.