Manage AI spend as it happens.
Sysdig AI Defense shows you which model tier each team uses, for which tasks, so you can appropriately right-size AI spend by person and team.

AI use is growing. Who's keeping track?
AI spend shows up as an invoice at the end of the month, with no sense of who ran what, or why. It’s spread across sales, finance, marketing, engineering, and anywhere else someone has access, and premium models end up doing routine work.
Get your AI spend under control.
You can't right-size the AI spend you can't see.
of AI spend is on duplicative processes and capabilities. This AI use doesn't drive top line revenue.
of people running coding agents aren't engineers. The spend isn't sitting in one budget anymore. It's in sales, finance, and marketing, where nobody is tracking model cost.
of people ran the top model tier for every task, including the routine ones. Once spend is tied to person, team, and task, you can actively manage utilization.
What you can do with Sysdig AI Defense

See how AI is really being adopted
Understand who is using AI, in which team, and through which harnesses and models. See what each team uses it for and how that compares across the organization.
Tie model spend to a person and team
Attribute every model call to an agent, team, and person behind it, including the calls that never pass through an AI gateway. Benchmark any person or team against the rest of the organization.
Match the model to the task
See where premium models are doing routine work, and which teams rely on them. Right-size AI utilization based on real usage.
See AI usage where the agent runs.
You can't right-size what you can't see. Sysdig AI Defense builds its view from runtime telemetry at the endpoint, where the agent runs. Adoption and spend are shown by team and person, including calls that never touch an AI gateway. You can also tell what each session was trying to do, so you can act on real usage instead of just seeing the bill.
A First Look: Under the Hood of an AI Agent
One month under the hood of an AI agent: what 300+ employee devices revealed about citizen developers, the AI supply chain, governance gaps, runtime control, credentials and model spend.
Read the report
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