DevSecOps Foundations for Agentic AI Platforms
Why agent platforms need software supply-chain controls, policy automation and observability from their first production release.
Agents expand the delivery surface
Agentic systems introduce prompts, evaluation sets, model endpoints, retrieval indexes and tool definitions alongside application code. Each needs ownership, versioning, review and promotion controls.
Build a governed path to production
Create one repeatable pipeline for code, configuration and policy. Produce signed artefacts, scan dependencies, protect secrets, capture approvals and promote immutable versions between environments.
Policy belongs in the platform
Centralise minimum controls for model access, data handling, network egress, tool permissions and telemetry. Provide these controls as a paved road so product teams do not repeatedly implement security from scratch.
Observe user impact and agent behaviour
Combine standard service telemetry with model latency, token and cost signals, retrieval quality, tool failures, policy denials and human escalations. Link traces across the agent, tools and downstream services.