Use cases · Enterprise
Ship AI agents without losing control.
Test what agents can access, decide, and do across software delivery, multi-model workflows, model releases, and customer-facing products.
The trigger
When security flags an agentic-AI gap or a coding agent reaches its production gate, the AI Platform Engineering Lead must prove it can work without escaping its approved scope.
Why it matters
Coding agents touch private repositories, tickets, documentation, customer data, and CI/CD tools. A model can write good code and still overreach permissions, skip approvals, expose sensitive data, or drift during a multi-step task.
How Optica solves it
Optica tests four boundaries: access to approved systems, compliance with SDLC and security policies, reliability across multi-step workflows, and observable behavior after launch. Each run records actions, failures, guardrail erosion, and control evidence so teams can approve, restrict, or stop deployment with a defensible record.