Solutions / Security / GRC
Security / GRC
Govern AI and DevSecOps with evidence and sovereignty.
Argy embeds compliance into workflows and AI usage, producing consistent evidence with clear data control.
Outcomes
- • Compliance by design
- • End-to-end AI traceability
- • Fewer exceptions
Typical automations
KPIs to track
- • Non-compliance rate
- • AI policy violations
- • Number of exceptions
Priorities
- • Comply without blocking delivery
- • Trace every action and AI request
- • Guarantee data sovereignty
Argy approach
- • Policy-as-code and approvals in golden paths
- • PII/secret filters and prompt audit trails
- • Multi-tenant isolation and access scopes
Key building blocks
- • LLM Gateway with filters and audit
- • Approval service and immutable logs
- • Secrets management and RBAC
Governance & sovereignty
- • CSV/JSON export for SIEM
- • RAG with per-tenant ACLs
- • On-prem LLM Gateway option
Direct answers
How does Argy support DevSecOps compliance?
By embedding guardrails, audit, and access control into both workflows and AI requests.
Related use cases
Explore concrete scenarios aligned with this solution.
Industrializing DevSecOps (first use case)
Argy turns DevSecOps into a product capability: every workflow is standardized, governed, and auditable without slowing teams down.
Regulated banking & fintech
Argy industrializes regulated processes without compromising control and audit requirements.
Healthcare & sensitive data
Argy enables AI adoption without exposing sensitive data, using strict scopes and access controls.
Next step: request a demo or view pricing.