AGENTIC CONTROL PLANE FOR RUNTIME GOVERNANCE AND ENFORCEMENT

Block risky agent actions
before they execute.

KEEP VELOCITY. ADD SAFETY.

Praxis is an Agentic Control Plane that intercepts agent intent at the runtime layer. Enforce deterministic policy across your entire agent stack, from terminals to MCP tools, capping the blast radius of autonomous execution.

Central policy across AI coding agents, terminals, repositories, cloud CLIs, MCP-connected tools, and evolving team workflows.

Deploys close to execution·Vendor-neutral·Policy-driven·Built for team workflows
Explore the product
Works with:
terminal - praxis guard active
monitoring
policy loaded · action ledger active
❯
Pax, the Praxis mascot
HOW IT WORKS

Intercept. Classify. Enforce. Record.

Deployed via a seamless local proxy and hardened shell wrapper, Praxis turns agent intent into governed action. It intercepts proposed agent actions before execution, evaluates the target, and applies policy before side effects occur. If blocked, developers can override via structured, logged approvals.

01
Agent plans a task
An AI coding agent interprets a goal, chooses steps, selects tools, and prepares actions across files, terminals, repositories, cloud CLIs, or workflows.
02
Praxis intercepts before execution
Before the proposed action runs, Praxis identifies the tool, target, environment, action type, and available context.
03
The action is classified
Praxis turns the proposed action into governable meaning: read-only, mutative, destructive, sensitive, deployment-related, credential-related, cost-generating, or recovery-sensitive.
04
Policy is evaluated
Praxis checks the action against team policy, environment rules, risk level, and recovery requirements.
05
A decision is enforced and recorded
Praxis allows, warns, escalates, or blocks the action before execution. The decision, reasoning, and policy context are written to the action ledger.
ACTION LEDGER

A decision ledger for every governed agent action.

praxis-ledger - recent agent actions
StatusActorAgentToolAction classTargetEnvironmentPolicy versionDecisionReasonRecovery profile
✓ ALLOWEDm.chen@acme.comCursorgitcommit changesfeature/auth-flowdevelopmentpolicy-v14allowed and loggedstandard repository operationreversible through Git
✓ ALLOWEDd.patel@acme.comClaude Codenpminstall dependency@supabase/supabase-jsdevelopmentpolicy-v14allowed and loggedapproved package sourcereversible through lockfile
⚠ WARNINGm.chen@acme.comClaude Codefirebaseproduction deploymentsalai-productionproductionpolicy-v14warning and ledger entryproduction deployment requires reviewrollback required
✗ BLOCKEDd.patel@acme.comClaude Codegclouddestructive infrastructureprod-db-01productionpolicy-v14blocked before executionproduction destructive actionhard to recover without verified backup

The ledger creates a structured record of agent actions, policy decisions, and reasons, so teams can review behavior, investigate incidents, tune policy, and produce governance evidence.

THE THREAT LANDSCAPE

AI coding agents have moved from suggestion to execution.

The fundamental risk shift in AI development is not code generation. It is autonomous execution. Agents now interpret a goal, decide how to approach it, choose tools, run commands, edit files, and chain steps together. While the human defines the task, the agent dictates the sequence of actions. Existing access controls (IAM) and post-incident observability are insufficient. Teams need deterministic runtime control over the path the agent takes, without turning every step into a manual review.

WHY PRAXIS

Policy that follows your team, not your vendor.

Every AI coding tool ships its own isolated, native restrictions - scoped to that tool, invisible to the rest of your stack. Praxis sits outside all of them as an independent Agentic Control Plane: one enforcement layer that applies wherever agents act.

CENTRALIZEDOne policy definition. Every tool your team uses, now and in the future, is governed from the same place.
VENDOR-NEUTRALNot tied to any tool's localized parameters. Add or swap tools without reconfiguring your security posture.
ALWAYS CURRENTUpdate once. Every agent, tool, and environment reflects it immediately.
MODEL LAYERAI gateways govern prompts, models, and inference.
ACCESS LAYERIAM governs identities, roles, and permissions.
REQUEST LAYERAPI gateways govern traffic, authentication, and routing.
OBSERVABILITYLogs and SIEM show what happened after the fact.
ACTION LAYERPraxis governs and enforces policies on what agents are about to do.
✗ BLOCKEDgcloud delete database prod-db-01before executionpolicy: destructive actionpraxis-ledgerSTATUSACTION✓ ALLOWgit commitfeature/auth-flow⚠ WARNfirebase deploysalai-production✗ BLOCKgcloud deleteprod-db-01PRAXIS
Cursor
Claude Code
Windsurf
GitHub Copilot
Terminal / CLI+any tool
Google Cloud
AWS
PostgreSQL
GitHub
Kubernetes
Not just access
A credential may allow an action. Praxis evaluates whether the action should happen in this context.
Not just model safety
A prompt may look safe while the downstream action is risky. Praxis focuses on execution.
Not just logs
Logs explain what happened. Praxis dictates what is allowed to happen before execution.
Not just approvals
Praxis reduces approval fatigue by escalating selectively, based on policy and risk.
GOVERNANCE & ENFORCEMENT

Unblock AI adoption by capping the blast radius.

Central org. policy
One policy governs all tools and teams - update once, apply everywhere.
Runtime enforcement
Intercept actions before execution, not only after something breaks.
Action ledger
Record every action and decision - structured evidence for review.
Recovery aware
Decisions account for rollback plans and prior state, not just agent intent.
Detect shadow-AI
Surfaces unmanaged agent activity and connects it to governance.
Vendor neutral
Consistent policy across every tool, now and as your stack evolves.
FAQ

Frequently asked questions.

Praxis is an Agentic Control Plane for runtime governance and enforcement. It helps engineering and security teams apply deterministic policy to AI-agent actions, block or flag risky behavior before execution, and maintain a structured action ledger.
EARLY ACCESS

Adopt AI agents without giving up control.

Praxis is working with design partners adopting agentic development workflows. Join to evaluate runtime governance for your team.

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