Prove AI value. Accelerate investment.
Unified risk, return, and goal-attainment metrics for the AI program. Set targets by team, agent, or workflow, and measure business value against them, not just adoption or spend.
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The Onyx Approach
AI adoption is outpacing the ability to measure what it's actually worth. Teams stand up agents, run them for months, and can't tell if AI is driving progress against real goals and improving velocity, or being misused and adding cost and risk.
Onyx correlates AI usage, cost, risk, and outcomes to the same activity record: agents discovered, runtime logs, policy violations, cost metrics, and goal attainment. Teams set targets for each AI investment, see where spend is turning into progress or waste, and report on both AI value and risk.
The Onyx Difference
Measured by goals, not just usage
Every team, business unit, and workflow can carry a target: cost ceiling, adoption rate, hours saved, revenue impact. Onyx measures each agent against the goal it was funded to hit, so an expensive coding agent gets scored against the engineering hours it saved, not just the tokens it used.
Surface expensive patterns before they compound
Onyx surfaces the expensive patterns most teams discover a quarter too late: production traffic on frontier models when a cheaper model would have worked, virtual keys unused for 30 days, agents deployed for use cases that stalled. Cost, tokens, model, and identity are captured together on every request routed through Onyx.
Board-ready value reporting
Risk metrics (alerts, risk scores, and misuse statistics) and return metrics (goal attainment, cost efficiency, workflow adoption) roll into one view drawn from the same platform record. Track the AI program and security investment behind it side by side, with numbers already correlated and ready for any audience.
See Onyx Connect to Your Stack
Onyx drops in next to the identity, cloud, network, and endpoint tools your team already runs. Most environments produce a working AI inventory within 24 hours and an enforced governance policy on day one. To see real-time AI security across your stack...
schedule a demoConnects to the Tools You Already Run
Onyx pulls cost and adoption details from the systems already in use, enabling visibility into how AI resources are being used and if AI resources are being productive.
- Cost and adoption metrics attribute to the right team, business unit, and workflow using identity and platform context from systems already deployed.
- Usage, cost, and policy telemetry synchronize with your SIEM and export cleanly into the financial reporting stack, giving security, finance, and platform teams one shared ledger.
- Board-ready reporting draws from the same record used for security and compliance, so budget conversations and audit conversations don't pull from three different sources of truth.
Frequently Asked Questions
Onyx pairs AI risk metrics (agents discovered, policy violations, incidents prevented) with AI return metrics (adoption, cost efficiency, workflow value) in one board-ready view. The CISO arrives with evidence that supports both the AI program and the security budget that protects it, instead of arriving with two separate conversations the board has to reconcile.
The Onyx AI Gateway captures per-request cost metadata at runtime: cost, tokens, model, and identity context. Per-agent trending surfaces high-cost agents and unusual usage patterns for security and finance review. The same record can be exported into the financial reporting stack.
Every enterprise AI surface Onyx discovers. Cost metadata is captured for traffic routed through the Onyx AI Gateway. For sessions outside the Gateway, adoption is tracked from session data without per-request cost attribution.
AI asset inventory is available on deployment. Adoption metrics populate from the first session Onyx captures. Cost metadata begins flowing on the first request routed through the Onyx AI Gateway.
