Argy AI: The DevSecOps Copilot for Golden Paths
Argy AI is a context-aware copilot connected to your module catalog, schemas, governance signals, and run knowledge—so teams can ship and operate with less friction.
Most engineering teams don’t struggle because they lack tools. They struggle because knowledge is fragmented:
- “Which golden path should I use?”
- “Why did governance block this change?”
- “Where is the runbook for this alert?”
Argy AI is designed to reduce this friction by turning platform knowledge into contextual guidance.
A copilot connected to the platform
Argy AI is not a generic chatbot. Its value comes from being connected to:
- the module catalog (golden paths),
- schemas (what is configurable),
- governance (policies, approvals, audit logs),
- operations (runbooks, baselines, ownership).
Typical use cases
1) Choosing the right module
When a developer wants to ship a new service, Argy AI can recommend the right golden path and explain why it’s the supported, secure-by-default route.
2) Faster configuration (schema-aware)
Argy AI helps understand parameters, suggests safe defaults, and generates example configurations—without turning your platform into a black box.
3) Governance clarity
When a guardrail triggers, Argy AI can explain the “why”, identify missing evidence, and suggest compliant alternatives.
Examples of “evidence” can include security audit results (SAST, SCA, container scanning) or compliance signals (GDPR, DORA, CIS benchmarks).
4) Run & operations assistance
In an incident, Argy AI can surface the relevant runbook section, ownership and escalation paths, and recent deploy context.
Conclusion
Argy AI is a practical copilot to make DevSecOps automation usable at scale.
To dive deeper, read the docs: Argy AI.
Want to see Argy AI in context? Request a demo, explore automatable actions, or browse use cases.