Agentic Governance
Governance is a dial you control, not a default you inherit. Today every engagement runs at the first setting. Moving up is a policy change you make when you are ready, not a rebuild.
Read the product vision roadmapThe AI helps your team work faster. Humans approve every action. This is where every engagement runs today.
Agents handle bounded tasks end to end. Approval moves up: you sign off on intent and final output, not every command.
The AI runs the delivery loop within the policy you set; humans govern the system. Where the framework is heading as models mature.
Governance profile
Set the default posture, then narrow or strengthen it wherever the work demands.
Measured, not promised
Every Azimuth deployment includes governance reporting drawn from your real project data: agent quality trends and a full audit trail of what the AI did and why. Reports run deterministically, with no manual entry and no model dependency.
Your tech lead sees the quality trends; your compliance team gets the audit trail. It comes from your environment, not a number printed on a marketing page.
Critical secrets (API keys, credentials, environment variables) are blocked at the local boundary using strict, fail-closed deny rules. Business-sensitive data is obfuscated locally on your network using client-held alias keys before reaching LLM providers, ensuring raw sensitive values never touch external models.
Your source code, prompt text, repository paths, and developer identities remain 100% contained within your infrastructure. Any billing or health telemetry sent back to Azimuth is strictly aggregated, pseudonymous, and HMAC-hashed.
Agent autonomy is strictly bounded by non-bypassable policy gates. Critical operations, including production deployments, database migrations, secret rotations, and security config changes, always stop for explicit step-by-step human approval.
Azimuth enforces token budgets, execution caps, and tier-bounded evaluation runs directly against true provider usage data, preventing recursive prompt loops and runaway API spend.
Rather than asking you to take compliance on faith, Azimuth generates deterministic, inspectable decision audit records for every gate approval, security check, and workflow execution.
Trust
Azimuth runs on your infrastructure. Your code, requirements, and data never leave your environment, and the only outbound path is to the AI providers you explicitly approve. This page summarizes the controls that make that true.
The controls
Azimuth installs into the environment you already run. No source code, requirements, or internal data is transmitted to or stored by Azimuth Technologies.
Source, requirements, and decisions are sent only to the AI providers you approve. Never anywhere else. You control where your data goes.
Human approval at meaningful risk points, quality gates before merge, and ownership boundaries on what agents may create.
A complete, deterministic record of what the AI did and why, drawn from your real project data with no manual entry.
Data boundary
Azimuth is not a multi-tenant SaaS. The framework, its context stores, its governance reports, and its audit trail all live on infrastructure you operate. Azimuth Technologies never hosts your code, tickets, requirements, logs, or decisions.
The AI tools Azimuth drives are the ones you already license and approve. Data reaches an AI provider only when your configuration authorizes that provider, and nothing is routed through Azimuth Technologies on the way.
Regulated buyers can run Azimuth with zero outbound connectivity: the air-gapped deployment option keeps every byte inside your network.
A SOC 2 readiness program is in place covering Security, Availability, Confidentiality, and Processing Integrity. Your code, activity log, and tokens are deliberately outside our audit boundary because they stay on your infrastructure.
For security questionnaires, architecture reviews, or data-flow documentation for your compliance team, contact us and we will work through your process.
Azimuth advisor