Trust
Azimuth runs on your infrastructure, and we don't hold your data. Your code, requirements, and decisions leave your environment only for the AI providers you authorize. This page summarizes how that works.
Agentic governance
Governance is a dial you control, not a default you inherit, and it is set per workflow step: production log analysis can run unattended while the fix that follows waits for a person. Today every step runs at the first setting. Raising a step is a policy change you make when your own record supports it. Turning it back is immediate.
Read the product visionThe AI helps your team work faster. A person approves the intent of non-trivial work and every change that leaves the developer’s machine, and can approve every action. Every step of every workflow runs here today.
A bounded step runs on its own. A person approves the step once and its result once; inside limits the system checks, there are no further prompts.
Steps that fit the policy you set and pass verification proceed; anything else goes to a person. It needs a runner that works without a session, so it cannot be chosen yet.
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.
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.
Your enterprise configuration decides which AI providers your tools can reach. Azimuth adds no other destination for your code, requirements, or decisions.
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.
Adversarial testing
Once you put an AI surface in front of customers, it is exposed to whoever finds it. Your test suite checks that it answers correctly. It does not check what happens when someone is trying to make it misbehave.
Azimuth attacks it on purpose. Attacks are written once, pointed at a deployed endpoint, and scored automatically. A test passes when the defence holds, so this runs like any other suite your team already knows how to read.
An attacker tries to make your assistant drop its job and follow theirs instead. That includes a forged transcript, because most chat endpoints let the browser supply both sides of the conversation.
An attacker tries to make it print its own instructions back, directly or by asking for a translation, an encoding, or a summary it can expand.
An attacker pressures it into quoting a price, claiming a certification, or naming a customer result it has no basis for. Anything it says there is a claim you have to stand behind.
The scoring is deterministic. Whether an answer leaked the configuration or invented a price is decided by a fixed rule, not by asking another model for an opinion. Every run uses the same attacks in the same order, so this week's result can be compared with last week's and a change means something.
Results are honest about their own limits. If an attack is rate-limited, times out, or never reaches the model, it is recorded as inconclusive rather than counted as a defence that held. A run that could not land its attacks has measured nothing, and it says so.
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.
For security questionnaires, architecture reviews, or data-flow documentation for your compliance team, contact us and we will work through your process.