Barzel · Governance & Security
BarzelVault: the AI Action Firewall
Control what AI agents are allowed to do before they do it.
BarzelVault is an AI governance and security infrastructure product for AI-agent and Model Context Protocol environments. It helps organizations evaluate AI actions, apply policies, manage approvals, assess risk and maintain auditable records around sensitive AI activity.
Illustrative interface. Every requested action is evaluated against policy, risk and approval requirements before execution.
Definition
BarzelVault is an AI Action Firewall designed to govern and evaluate actions performed by AI agents before sensitive operations are executed.
The problem
Agents no longer just answer — they act
Once a model can call tools, it can move money, delete records, change permissions and email customers. Traditional controls authorize the connection, not the action, and prompt-level filtering cannot decide whether a specific operation is acceptable in a specific business context.
The result is an accountability gap: nobody can say with confidence what an agent was permitted to do, what it attempted, and who approved it.
The approach
A decision point in front of every sensitive action
BarzelVault places an evaluation step between intent and execution. Each requested action is checked against organizational policy, assessed for risk, routed for human approval where required, and recorded so the decision can be reviewed later.
Governance becomes a property of the infrastructure rather than a promise in a prompt.
Capabilities
What BarzelVault is designed to do
Policy enforcement
Express what agents may and may not do, and apply those rules consistently at the moment an action is requested.
Approval workflows
Route sensitive operations to a human decision-maker, keeping people in the loop precisely where judgement matters.
Risk assessment
Evaluate the exposure an action creates — reversibility, data sensitivity, scope and blast radius — before it runs.
Auditability
Maintain a reviewable record of requested actions, decisions and approvals for security, compliance and engineering review.
MCP security & governance
Bring governance to Model Context Protocol environments, where tool calls turn a model into an actor inside real systems.
Organizational controls
Give security, engineering and operations a shared place to define agent permissions instead of scattering them per project.
How it works
From requested action to recorded decision
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Step 01
Intent is captured
An agent requests an action, with its identity, target system and parameters.
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Step 02
Policy is applied
Organizational rules determine whether the action is permitted, denied or requires review.
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Step 03
Risk is assessed
Sensitivity and reversibility inform whether human approval is required.
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Step 04
Decision is recorded
Execution proceeds or stops, and the outcome is written to an auditable record.
Use cases
- Finance operationsRequire approval before an agent initiates payments or edits financial records.
- Customer dataPrevent bulk exports or deletions from CRM and support systems without review.
- Infrastructure changeGate irreversible cloud or database operations behind explicit human authorization.
- Security reviewAnswer what an agent attempted, what was blocked and who approved the rest.
Who it is for
- Security and platform teams deploying AI agents in production
- Engineering teams building on MCP and agent frameworks
- Risk, audit and compliance functions accountable for AI activity
- Operations leaders extending automation into sensitive processes
Technical context
BarzelVault is designed for environments where models reach real systems through tool calls — including Model Context Protocol servers, agent frameworks and internal APIs. It complements Barzel Central Gateway for routing and access, and BarzelOps for governed execution.
Shipping today
BarzelVault, running in public
BarzelVault is published and callable now. These are screenshots of the live listing and documentation, not mockups. See the listing ↗
BarzelVault MCP: AI Action Firewall listed on the MCPize marketplace, showing the $199/month Team plan alongside the free Dev tier, Business and Enterprise, and a 5.0 rating.
BarzelVault server-side enforcement pipeline: authenticated tenant, action envelope, JSON Schema allowlisting, HTTPS destination allowlists, four deterministic outcomes, risk scoring, trajectory detection and tamper-evident hash-chained audit events.
BarzelVault capability catalog: 9 MCP tools, 12 static resources, 3 resource templates, 9 security and governance prompts, Streamable HTTP and JSON-RPC 2.0.
BarzelVault core security capabilities: pre-execution authorization, human approval, policy-as-code, credential isolation, immutable audit receipts, risk scoring, dry-run simulation, emergency kill and revocation, and spend and action limits.
Published surface
Four deterministic policy outcomes
- allow
- deny
- dry-run
- require approval
Plans
| Plan | Price | Included usage |
|---|---|---|
| Dev | Free | 10,000 calls/mo |
| Team | $199/mo | 75,000 calls/mo |
| Business | $799/mo | 750,000 calls/mo |
| Enterprise | $3,999/mo | 5,000,000 calls/mo |
Prices as published on the marketplace listing, 2 September 2026. Check the listing for current tiers.
FAQ
Questions people ask first
What is an AI Action Firewall?
A control point that evaluates an action an AI agent intends to take before it is executed, applying policy, risk assessment and approval requirements to the action itself — not only to the text a model produces.
How is this different from traditional IAM?
Identity and access management authorizes who may connect. BarzelVault governs what an autonomous agent may do once connected, at the granularity of the individual operation, with approval and audit around sensitive cases.
Does it work with MCP environments?
Yes. BarzelVault is designed for AI-agent and Model Context Protocol environments, where tool calls give a model the ability to perform real operations in real systems.
Where can I see it?
The BarzelVault MCP listing is the fastest way to try it. For deployment questions, contact Real Biz Digital.