Deterministic governance, from keystroke to merge
Govern the code your AI writes.
Observe and enforce, at scale.
Turn your standards into rules your agents can’t bypass, enforced deterministically at write, commit, CI, and merge. Every action runs locally, tied to a signed identity and chain-linked into a record you can prove.
Audit-ready Packaged for SOC 2, GDPR, PCI, ISO 27001, and the EU AI Act
Works with the coding agents your team already uses
Claude Code
Cursor
Codex
Copilot
Gemini
Cline
Windsurf
Augment
Kiro
The gap
AI is writing your code.
Mault enforces your rules,
and proves it did.
You’re accountable for code your team writes. Mault is the layer that gives you control over what your AI agents can do, visibility into every action they take, and a record you can stand behind, so AI-written code is compliant, auditable, and safe to run in production.
Enforce
Your standards become rules checked before a write lands, not advice the agent can skip. If a change breaks a rule, it never gets written.
See
Every action an agent takes, down to the tool call, traced to the workstation and the agent that made it.
Prove
Every decision signed and chain-linked into an evidence-grade record your security and compliance teams can verify, offline.
Runs fully local and air-gapped. Your code and your audit trail never leave your machines.
Self-hosted, on-premises, or in your own VPC. Nothing to send out means no data residency exposure and no added latency, in any jurisdiction.
Enforcement
Rules your agents can't bypass
Mault sits between the AI and your files and checks every change before it’s written to disk. If a change breaks one of your rules, it doesn’t get written. You set the zones agents can work in, the files they can’t touch, and the actions they can’t take, and those rules hold at every step from keystroke to merge, not just at the tool call. There’s no skipping them, turning them off, or talking the agent around them, and the config itself can’t be tampered with.
- Zone, role, and budget boundaries enforced per agent
- Test-first discipline, secret detection, supply-chain checks
- Pass or fail. Binary. Mechanical. No negotiation.
›write src/auth/login.ts ALLOW
›commit "add login" ALLOW
›write src/utils/helpers.ts DENY
Outside declared zone (src/auth/). Write blocked.
›commit without test pairing DENY
No test paired with login.ts. Commit blocked.
write file src/api/routes.ts · in zone
allow
write file src/auth/keys.ts · out of zone
deny
commit no test written for routes.ts
deny
write file hardcoded secret scan · clean
allow
edit file src/api/handlers.ts · in zone
allow
Visibility
See every action your agents take that changes state
Mault enforces the rules and logs every write, command, and platform call, with the command itself, the validators that ran, and the role that issued it. Violations surface in the editor the moment they occur, with the exact rule that caught them, and the agent cannot proceed until it’s compliant. The agent corrects itself and keeps moving, no manual intervention required.
- Every decision logged with workstation, session ID, and timestamp
- Blocked actions surfaced in-editor, agent cannot proceed until compliant
- Cryptographically locked, with centralized configuration and enforcement across every machine in the organization
Verification
The proof your security and compliance teams are asking for
Every event decision is cryptographically signed and chain-linked, and Mault writes its own receipt from the artifacts, so completion is proven, not reported. When the auditor asks how you know the code is safe, you have a signed answer anyone can verify offline.
- Tamper-evident: change one byte and the chain breaks
- Receipts over reports. Verified from artifacts, not claims.
- Packaged for SOC 2, GDPR, PCI, ISO 27001, and the EU AI Act
zone-boundary-gate allow · src/auth/login.ts
✓ signed
pre-write-test-gate allow · login.test.ts present
✓ signed
zone-boundary-gate deny · src/utils/helpers.ts
✓ signed
receipt-gate task receipt written from diff
✓ signed
key-destroyed session sealed
✓ signed
✓ chain verified · tamper-evident · anyone can check it
offline
24agents
1,208actions today
37blocked
Team · what the AI agent tried
Payments team tried to write a login file · j.chen · MBP-4471 · agent
W-A3F2
allowed
Identity team tried to write a secrets file · r.patel · WS-7741 · agent
R-2C9A
blocked
Platform team edited a service file · s.okafor · WS-2208 · agent
W-8B1C
allowed
Web team tried to send data to an outside server · m.alvarez · MBP-3190 ·
agent W-9B40
blocked
Data team committed a new endpoint · d.kim · WS-3357 · agent
W-5E3F
allowed
Central management & admin control
Run governance for every agent from one place
Set your governance once, and your admins push it out to every agent, workstation, and team. The rules live in one place and apply everywhere, so every machine runs to the same standard and you manage all of it from a single view.
- One standard, enforced across every machine and team
- Admins set and update governance centrally, with rollout in one step
- Every agent action attributed, organization-wide, in one view
Orchestration
Run agents in parallel without any file collisions
If you need orchestration, Mault breaks a spec into atomic tasks using a DAG and runs up to six specialized agent roles on them at once. Every task declares the files it can touch, and the math guarantees no two agents in the same batch ever hit the same file. That’s coordination that’s provably correct, not scheduling that hopes for the best. And if you don’t need it, you don’t have to use it: the governance layer works exactly the same with a single agent.
- Planner, Orchestrator, Worker, Reviewer, Tester, Compliance, each role gated
- Workers run in isolated worktrees inside their declared zone
- Foundations first, then independent tasks fan out to parallel workers to clear backlog
Planner
Orchestrator
Worker
Reviewer
Tester
Compliance
Planning: decomposing spec into atomic tasks
worker · lane 0
zone: src/auth/
building
worker · lane 0
zone: src/api/
building
worker · lane 1
zone: src/shared/types/
building
worker · lane 1
zone: src/utils/
building
✓ zero file collisions · guaranteed by graph
coloring
Why the record holds up
Provable, not just logged
A record is only worth as much as your confidence in it. Mault binds every action to a verified identity and seals it so the trail can’t be quietly rewritten after the fact.
Identity
Every session is bound to a cryptographic fingerprint: this specific agent, authorized by this specific human, under these specific rules.
Logging
Mault writes every governance decision as a signed event recording the action, the control that fired, the outcome, and the reason. Nothing is left to the agent’s account of it.
Auditable
Events are chain-linked. Change, delete, or reorder one and the chain breaks. The session key is destroyed at the end, so the past can’t be re-signed.
Transparency
Anyone can verify the chain themselves, offline, down to the individual action. Proof you hold, not a dashboard you have to trust.
One standard, every contributor
The same production bar,
no matter who's driving the agent.
Mault enforces the same rules underneath every session, so the floor doesn’t drop when a less experienced engineer or a non-engineer is the one prompting. Seniority changes the speed, never the standard.
Senior & staff engineers
Junior developers
Product & design
Non-technical teammates
⌄ Enable Agent Governance
Point Mault at your repo. It checks that your hooks, dependencies, and config are set up right before any agent runs.
Repository
Check System Readiness ⌄
Mault hooks registered
node on PATH
CLAUDE.md present at workspace root
.mault/ initialized
⌄ Multi-Agent Orchestration
Each role runs in its own lane. Zones and boundaries keep agents from colliding.
Semi-Autonomous ⌄
Planner
Orchestrator
Worker
Review Agent
Tester
Utility Controls ›
⌄ Production Readiness
Guided workflows take the work from first commit to a production-ready merge.
Getting Started ›
Production Pipeline ›
AI Integration ›
Review ›
Manage Account
revert rate on governed code
0
%
AI-generated code industry avg: ~15%
code duplication rate
1.6
%
AI-generated code industry avg: ~20%
The difference
Better prompts.
Better specs.
Better rules files.
It's Not Enough.
A rule a developer can bypass is just a suggestion. Enforcement is the rule they can’t.
Rules get skipped, warnings suppressed. And most tools that govern AI are themselves AI, prompts checking prompts, which is still just policy. Mault is deterministic enforcement at the infrastructure level: either the code meets the rule, or it never gets written.
Pricing
Governance for teams of all sizes
Choose the level of governance you need. Pricing is tailored to your team and your deployment.
Most Popular
Pro
$19–$49
per seat / month
Everything you need to put AI-written code under control: enforce your standards as agents work, see every action, and ship with a record you can stand behind.
- Rules enforced before code is written, not flagged after
- Every agent action traced to the workstation and agent behind it
- Signed, tamper-evident record of what shipped and why
- Works with the coding agents your team already uses
- Pre-commit and CI checks that stop violations from merging
- Full library of built-in checks, ready out of the box
- Runs fully local: your code never leaves your machine
Best for startups and small teams shipping production software with AI assistance.
Enterprise
Custom
Governance across your whole organization: one standard enforced on every team and machine, configured to your environment, with the people to stand it up and keep it running.
-
Everything in Pro, plus
Custom configurations and guided pilots, built around your rules, repos, and workflows - One policy set centrally and enforced organization-wide, across every team
- Compliance reporting and exportable evidence for audits
- Hands-on onboarding and rollout for your engineering teams
- Dedicated support engineer with guaranteed response times
- Runs fully local and air-gapped: your code never leaves your machines
Best for growing or established engineering teams that require structured, enforceable governance at scale.
Ready when you are
Govern the code your AI writes.
Control over what agents can and can’t do. Visibility into every action. A signed record of all of it. Deterministic enforcement at the infrastructure level, IDE agnostic, AI agnostic, fully local.
FAQ
Questions teams ask before they buy
Straight answers on what Mault is, how it runs, and where it fits.
What is Mault?
Mault is the governance layer for AI-assisted development. It sits between your AI coding agents and your codebase and enforces your rules across the whole path from keystroke to main, at write time, at commit, in CI, and at merge.
The approach is deterministic: physics, not policy . Rules are enforced mechanically, pass or fail, so an agent cannot rationalize its way around them the way it can ignore a guidelines file or a linter warning. The first and primary surface is runtime, where a violating write is stopped before it reaches the disk, but no single layer is the whole system.
Mault is the governance layer for AI-assisted development. It sits between your AI coding agents and your codebase and enforces your rules across the whole path from keystroke to main, at write time, at commit, in CI, and at merge.
Where does Mault enforce your rules?
At every stage code travels, from keystroke to main, not at a single point. Enforcement runs at four independent checkpoints: write time , where runtime hooks fire on every tool call and stop a violating write before it reaches the disk; commit time , where pre-commit hooks gate formatting, types, coverage, secrets, and architecture; CI , where the full test matrix, mutation testing, and guardrails run on every pull request; and merge time , where review and merge gates make the final decision.
The design is deliberate. No single layer is sufficient, and each catches what the one before it might have missed. A bug in any one checkpoint is caught by the next, so there is no single point of failure. This is different from advisory tools that flag problems after code already exists, where the bad pattern lands first and someone has to clean it up later.
Does Mault send my code to the cloud?
No. Mault runs fully local and can run air-gapped. It deploys self-hosted, on-premises, or in your own VPC. Your code and your audit trail never leave your machines.
Because nothing is sent out, there is no data residency exposure to manage and no added latency from a round trip to a cloud service. That holds in any jurisdiction.
Is there an LLM in the enforcement path?
No. Most tools that try to govern AI output are themselves AI: prompts checking prompts, specs reviewing specs. That is still advisory, and an agent treats advice as optional.
Mault’s enforcement is deterministic. The same input produces the same decision every time. There is no model making a probabilistic judgment about whether your code is allowed to ship.
How is Mault different from code scanners and review bots like Snyk, Semgrep, or CodeRabbit?
Those tools act after code is generated. A scanner flags an issue and a review bot posts a comment, then leaves a human to chase it down. Mault sits earlier, during generation, and enforces the rule before the code is written.
Mault is not trying to replace your code reviewer. It ensures the review actually happens: its hooks require the agent to review, fix, and prove the fix inside the pull request, rather than leaving findings to be ignored under deadline pressure.
Does Mault work with Cursor, Claude Code, Copilot, and other tools?
Yes. Mault is IDE-agnostic and AI-agnostic. It enforces the same rules underneath whether your team is on VS Code, Cursor, or Claude Code, and whether the model is Claude, GPT, or a local model.
It applies to the agents you already use and begins governing immediately. There is no migration and no change to how engineers work.
What compliance frameworks and regulations does Mault support?
Mault produces a signed, tamper-evident record of what shipped and why, packaged for SOC 2, GDPR, PCI, ISO 27001, and the EU AI Act. The record can be verified offline.
Because Mault runs air-gapped with nothing leaving your infrastructure, it fits teams working under GDPR and the EU AI Act, UK rules, India’s DPDP Act, Brazil’s LGPD, and Middle East data localization mandates.
Mault is the governance layer for AI-assisted development. It sits between your AI coding agents and your codebase and enforces your rules across the whole path from keystroke to main, at write time, at commit, in CI, and at merge.
Who is Mault for?
Mault is for engineering teams accountable for a codebase they cannot personally verify, especially under external audit or regulatory pressure. The highest-fit sectors are defense, insurance, healthcare, banking, manufacturing, fintech, healthtech, and payments.
It works whether you are rolling out AI for the first time and want guardrails from day one, or already running multi-agent development and need to govern what is already live.
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