GOVERNANCE FOR THE CTO & CISO
The enforcement layer for your coding agents
Mault sits between your agents and your codebase and applies your rules deterministically at every step from keystroke to merge, with a signed record of every action. It governs the agents your teams already use, on your machines, fully local. No new runtime to adopt.
Audit-ready
SOC 2
GDPR
PCI
ISO 27001
EU AI Act
FINOS
Works with any coding agent and IDE
Claude Code
Cursor
Codex
Copilot
Gemini
Cline
Windsurf
Augment
Kiro
Why Mault exists
AI is writing your code faster than anyone can review it. You're still the one accountable, and your customers pay the price when it fails in production.
Governance
Your prompts, your rules, your skills: suggestions an AI agent is free to ignore.
Your words are guidance. The agent infers its rules from your codebase, and changing them takes enforcement, not another prompt.
Velocity
Your delivery speed is now capped by review, not by how fast AI writes.
Agents open more pull requests in a day than a careful reviewer can read, so merges stall.
Auditability
You can't prove what your AI agents actually did.
You can explain your process to the board, but there’s no record anyone can verify.
The product suite
Enable AI at scale. Govern every line. Observe every action.
Every problem above has the same root cause: nothing enforces your rules where the code is written. These three do. Start with the gap that hurts most; each stands alone and stacks. Fully local and air-gapped.
Kills the rework tax
Mault
Governance
Your standards, enforced as the agent writes
- Enforced at write, commit, CI, and merge
- Deterministic, no LLM in the path
- Violations never land
0
%
revert rate, governed code
Kills the review bottleneck
Mault
Merge
Release engineering, productized
- Any review bot's findings, blocking until answered
- A learning loop that ends repeat findings
- Review stops being your ceiling
0
X
PR throughput
Kills agents going rogue
Mault
Shield
Tamper-evident down to the machine
- Machine-level cryptographic locking
- Tamper-resistant kernel tier plus kill switch
- Signed, verifiable offline
0
%
attribution
How it works
One system, enforcing at every step from keystroke to signed record.
Most tools cover one checkpoint and advise. Mault governs the entire path an agent’s work travels, deterministically, and proves every decision it made. All three products work as one layer.
Keystroke
Runtime hooks fire on every tool call
Write
Violating code never reaches disk
Commit
Gated on types, tests, secrets, and architecture
CI
The full rule set re-checked; advisory or blocking
Merge
Review proven inside the PR before main
Audit
Every decision signed and chain-linked
Mault Governance
Mault Merge
Mault Shield
Set once, centrally
Admins define the rules in one panel and push them to every team, agent, and workstation.
Deterministic
No LLM in the path. Same input, same decision, every time.
Blocks before it lands
A violating action never reaches disk, never reaches main.
Signed and provable
Allows recorded, not just denies, proving the gates ran the whole time. Chain-linked, attributed to the machine, verifiable offline.
Mault
Governance
Your standards, enforced deterministically from keystroke to merge.
Bad code is blocked before it reaches disk
The review-fix-revert loop that eats AI speed never starts. The rework tax never accrues.
Your standards are enforced, not suggested
Rules fire at the tool call. An agent can’t talk its way past one, and neither can deadline pressure.
Done means done
Specs are verified against the actual work before a step can close. Claimed is not complete.
Agents run in parallel without collisions
Isolation keeps every agent in its own lane, so one agent becomes ten safely.
.mault/audit-events/*.jsonl · a violating write, denied before disk
tool
Write · src/payments/handler.ts
validator
architecture-boundary
status
DENY · never reached disk
Mault
Merge
Release engineering that carries enforcement all the way to main.
Every finding answered before merge, from any review bot
Sentry, CodeRabbit, Copilot review: their comments get ignored, especially in autonomous flows. Mault makes them blocking. Nothing merges until every finding is resolved or formally dispositioned, recorded and attributed.
Your standards are enforced, not suggested
Review bots now write fixes and compete with each other. Mault doesn’t compete, it enforces. Whatever reviewers you run, the merge bar is the same: proof, not promises.
Done means done
Every enforced finding feeds a learning loop: recurring classes become standing gates and agents inherit the lessons. Fewer nits, shorter CI cycles, less rework.
Agents run in parallel without collisions
Strict gates that slow people get bypassed. Your team’s flow stays intact.
.mault/audit-events/*.jsonl · the merge gate, recorded
tool
Merge · PR #482
validators
review-proof-gate · ci-matrix-gate
status
ALLOW
Mault
Shield
The machine-level foundation Governance and Merge run on.
Every action is attributed
Workstation, agent, session, and machine. Nothing happens anonymously.
Agents can't rewrite their own guardrails
The files that steer your agents are locked. Tampering triggers loud warnings, escalating to a kill switch.
A record nobody can edit after the fact
Signed and chain-linked at the point of enforcement. An auditor verifies it offline, trusting no one’s dashboard.
Holds even below the OS
The kernel tier covers the privileged insider, the hardest adversary there is.
logs/agent-bootstrap-*.ndjson · every agent start, identified
declaredRuntime
claude-code
detectedRuntime
claude-code
runtimeMismatch
false
workstation
ws_7f2a-03
signature
valid · chain-linked
Built for the people on the hook
Whether you're rolling out your first agent or governing a fleet.
For the CTO
Ship at AI speed without betting the company
You’re accountable for AI adoption and for its fallout. Mault lets you say yes to agents with rules that hold.
- Enable every team, one standard, whichever agent they pick
- Velocity you can defend: 10× PR throughput, 0.18% reverts
- Start on one repo, expand on evidence, not faith
For the Head of Engineering
Clear the review bottleneck for good
Your team merges double the PRs and drowns reviewing them. Review shouldn’t be the ceiling on your roadmap.
- Violations blocked as the agent writes, not found in review
- Agents fix and prove bot findings inside the PR
- Orchestrate parallel agents, provably collision-free
For the CISO
Prove control over every agent, to anyone
Agents run with system-level access and no owner. When the board or the regulator asks, “trust us” won’t do.
- Deterministic enforcement an agent can't talk past
- 100% attribution: workstation, agent, session, machine
- Signed, tamper-evident record, verifiable offline, fully local
The maturity curve
Most AI tooling operates at Level 2 and 3. Mault operates at level 4 and level 5.
The industry grades agentic engineering on a five-level scale. See where Mault sits, dimension by dimension, from cost telemetry to token economics.
Deployment
Runs fully local. Air-gapped. Nothing leaves your machines.
Self-hosted, on-premises, or in your own VPC. No data residency exposure and no added latency, in any jurisdiction.
No developer drag
CI is advisory where humans merge, blocking only for automation.
No LLM in the enforcement path
Same input, same decision, every time.
IDE- and agent-agnostic
The same rules hold across VS Code, Cursor, Claude Code, and any model.
Centrally managed
Set once; admins push it to every agent, workstation, and team.
Audit-ready
Signed records that break if altered. Packaged for audit, verifiable offline. Written as local JSONL your existing pipeline forwards, so Splunk, ServiceNow, or any JSON-ingesting SIEM consumes them with nothing new to deploy.
✓
SOC 2
✓
GDPR
✓
PCI DSS
✓
ISO 27001
✓
EU AI Act
✓
FINOS
Packaged for each framework in Mault’s scope. Backed by multiple patents.
Govern the code. Ship at AI speed. Prove every action.
Rules your agents can’t bypass. Proof anyone can verify. Enforced at the infrastructure level, fully in your environment.
Most teams start with Governance on one repo, measure against their baseline, and expand on evidence.