AgentOps (Agent Operations)
Definition
The discipline of managing the lifecycle, performance, observability, and infrastructure of autonomous AI agents in production. Often analogous to DevOps or MLOps, but specifically tailored to the unique probabilistic behaviors and long-running sessions of agentic systems.
Why It Matters
Treating agents as "digital employees" requires enterprise-grade infrastructure. If an agent goes down or begins executing erratically, it requires the same incident response, latency monitoring, and access revocation capabilities as traditional software microservices.
How Exogram Addresses This
Exogram provides the foundational security layer for AgentOps. It generates the immutable, cryptographically chained audit logs that AgentOps teams require to forensically review why an agent took a specific action and which deterministic policy evaluated it.
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Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees