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Agent Authority Broker

Broker, enforce, and prove AI-agent authority before tool execution.

Crittora inserts a runtime Permission Gate between AI agents and the tools, APIs, and connected vendor accounts they can use. Each request is checked against identity, permission boundary, operation, account context, and policy version before execution.
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Authority Broker Demo Series

Continue with the next walkthrough.

The hero video is the primary walkthrough. The current demo remains available below as the next installment in the series.

Part 2
Crittora Authority Broker Demo Series: Part 2

Part 2 of the Authority Broker Demo Series with the related follow-on walkthrough.

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What You Will See

Authority is checked before execution.

Runtime authorization

Verify whether an AI agent is allowed to use a tool or API before execution.

Scoped permissions

Limit agent access to the exact tools, APIs, users, and actions allowed by policy.

Fail-closed enforcement

Deny agent actions when policy, scope, identity, or integrity cannot be verified.

Proof-of-execution receipts

Produce verifiable proof showing what was allowed, denied, and why.

Connected Accounts

Connected accounts need AI-native authority control.

Vendor connections are familiar: a user connects Google, Salesforce, Microsoft, or another account, and a platform stores delegated authority for later use. Crittora adds the AI-native control layer around that model, deciding whether a specific agent, acting for a specific MCP user, may invoke a specific vendor operation through a specific connected account under a specific permission boundary.

MCP user

The AI-facing user or tenant context that the agent is acting for.

Agent tool catalog

The operations exposed to the agent as callable tools.

Connected vendor account

The downstream identity or OAuth connection the vendor API sees.

Permission boundary

The versioned policy deciding which exact operations are allowed or denied.

Downstream attribution

Most vendor APIs still see the connected account, not the AI-facing user, model, or conversation. Crittora acts as the trusted authority bridge: it correlates the agent, MCP user, connected account, operation, permission boundary, and allow/deny decision. Where downstream APIs support token exchange or actor claims, Crittora can carry stronger delegation context; where they do not, Crittora preserves the enterprise control-plane record.

Best Fit

Built for agent stacks moving beyond pilot.

MCP-compatible agent stacks

Agents calling internal tools or APIs

Connected vendor accounts used by agents

Workflow automation touching systems of record

Security teams needing runtime proof

Architects evaluating pilot-to-production controls

Demo Lens: Regulated Financial Institution

Unlock the agentic AI bottleneck.

Banks do not need agents with broad standing authority. They need partner-specific boundaries that allow useful work, block unsafe execution, and prove every decision.

The pattern

Define the boundary. Verify the request. Enforce before execution. Produce proof after the decision.


Example partner

Apex Wealth Management

Managed surface

Portfolio Management API v2, financial modeling tools, and market-data retrieval.

Agent context

Advisor copilot acting for an authenticated wealth-management user.

Connected account

Apex Wealth Management OAuth connection.

Authority question

Can this agent read holdings for this customer without trade authority?

Allowed

Pull holdings, retrieve account history, calculate tax-loss harvesting, and use the customer's OAuth context.

Blocked

POST /trades and any action outside the logged-in customer's authorized account scope.

Proof

MCP user, connected account, boundary version, operation, decision, and timestamp.

Bottleneck unlocked

The bank can support advisor copilots without handing a partner agent a trade-capable API key.


Example partner

Risk and Audit Department

Managed surface

KYC APIs, core banking transaction APIs, document OCR, redaction, and secure report storage.

Agent context

AML review agent acting for a compliance analyst inside the institution.

Connected account

Risk and Audit Department service connection.

Authority question

Can this agent inspect records and write reports without ledger authority?

Allowed

Read transaction history, scan documents, redact PII, and write sealed audit reports to an approved vault.

Blocked

PUT, POST, or DELETE operations that could alter customer identity records, balances, or ledger entries.

Proof

Analyst context, agent identity, report destination, boundary version, and allow/deny result.

Bottleneck unlocked

Compliance teams can use agentic review at scale while preserving a hard boundary around systems of record.


Example partner

VerbalAI Solutions

Managed surface

Customer Support API, public knowledge-base search, FAQ retrieval, and card-control endpoints.

Agent context

Customer support agent acting during an authenticated support session.

Connected account

VerbalAI Solutions support integration account.

Authority question

Can this agent lock a reported lost card without gaining account-change authority?

Allowed

Search approved support content and call POST /cards/{id}/lock when a customer reports a lost card.

Blocked

POST /cards/{id}/unlock, account changes, money movement, or any action requiring human verification.

Proof

Customer session, vendor identity, allowed lock operation, denied unlock operation, and policy reason.

Bottleneck unlocked

The bank can move fast on customer-service automation without letting prompt injection unlock sensitive actions.


Example partner

SwiftPay Tech

Managed surface

Payment Processing API, signed partner requests, refund endpoints, and velocity controls.

Agent context

Merchant operations agent acting for an approved merchant workflow.

Connected account

SwiftPay Tech merchant operator connection.

Authority question

Can this integration perform approved merchant operations without cross-merchant authority?

Allowed

Authorize payments and issue refunds within the merchant's approved policy, signature, and rate context.

Blocked

Unsigned requests, refund spikes, cross-merchant access, or operations outside the configured payment boundary.

Proof

Merchant scope, connected account, signature context, operation, decision, and anomaly signal.

Bottleneck unlocked

The bank can support high-speed integrations while stopping runaway agentic behavior before execution.

Agent intent is not authority.

Intent

Policy

Enforcement

Proof

Frequently Asked Questions

Agentic AI security for financial services.

What is Crittora Authority Broker?

Crittora Agent Authority Broker is a runtime authority layer for AI agents. It enforces scoped permissions before agents use tools, APIs, workflows, or connected vendor accounts.

How is Crittora different from an OAuth integration platform?

OAuth platforms broker connected accounts. Crittora adds AI-facing identity, dynamic tool catalogs, operation-level permission boundaries, runtime enforcement, and proof of allow or deny decisions for agent execution.

Does the vendor know an AI agent initiated the action?

Usually no. Most vendor APIs see the connected vendor account. Crittora records the agent, MCP user, connected account, boundary, operation, and decision so the enterprise can reconstruct who directed the action and why it was allowed or denied.

What is being authorized at runtime?

Crittora checks whether a specific agent, acting for a specific user, can invoke a specific tool or API operation through a specific connected account under the active permission boundary.

Does Crittora replace OAuth or token exchange?

No. Crittora can use ordinary connected accounts and can support stronger delegation patterns where downstream APIs accept them. Its role is to enforce AI-agent authority before execution and preserve proof of the decision.

How does Crittora Authority Broker help financial institutions use agentic AI safely?

It lets banks and regulated firms define permission boundaries for agents, vendors, APIs, and integrations so actions are scoped, verified, and denied when policy is not met.

Why can't banks give AI agents broad API access?

Broad standing permissions create ambient authority risk. An agent may be able to access or trigger actions beyond the intended workflow, especially under prompt injection or automation failure.

What does fail-closed enforcement mean for AI agents?

Fail-closed enforcement means an agent action is denied unless it can be verified against an explicit permission boundary before execution.

How does Crittora support MCP and tool-calling governance?

Crittora sits between agents and tools or APIs, enforcing scoped runtime authority before tool calls execute and producing proof-of-execution receipts after each decision.

What proof does Crittora provide after an AI-driven action?

Crittora can produce proof-of-execution receipts showing which agent acted, which policy applied, what action was allowed or denied, and why.

What is ambient authority?Read the APP whitepaperAuthority is the new perimeter
See It Work

Request the Crittora Authority Broker demo.

Walk through a runtime authorization pattern for agents that call tools, access APIs, or trigger workflows across enterprise systems.

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