Observability & FinOps
You cannot secure what you cannot see. We instrument your AI infrastructure with comprehensive observability: per-request tracing, token-level cost attribution, model performance dashboards, and automated budget enforcement. Every trace links prompt to response to cost to user — giving your security and finance teams the visibility they need to govern AI usage at scale.
Key Capabilities
- Per-request distributed tracing across the full LLM call chain
- Token-level cost attribution by team, project, and use case
- Real-time dashboards for latency, throughput, error rates, and spend
- Automated budget enforcement with alerts and hard caps
- Integration with existing observability stacks (Datadog, Grafana, Splunk)
- Custom SLO definitions for model latency and availability
Typical Engagement
Typical engagement: 2–3 week instrumentation sprint. We deploy tracing, build dashboards, configure alerts, and hand off a FinOps playbook your team can maintain.
Ready to get started?
Tell us about your infrastructure and security requirements. We will scope an engagement that fits.
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