Crittora Agent Authority Broker
Control what agents can do. Prove every action.
CRITTORA
THE MISSING CONTROL BETWEEN AI AGENTS AND REAL SYSTEMS
Most agent stacks can call tools. Few can control exactly what an agent is allowed to do at the moment of execution, or prove what happened after the action is taken.
Scope Permissions
Grant only the permissions required for a specific action.
Control Tool Access
Limit which tools an agent can touch at runtime.
Audit Every Action
Record what happened, who requested it, and when.
Why Autonomy Stalls
Control Breaks At Execution
Agent systems fail when tool access is implicit and runtime authority is not enforced at the moment of action.
"Most agent security claims sound strong until you ask a simple question: what actually controls the action when the agent touches a real tool? If the answer is vague, the system is not ready for production."
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Security Leader, Enterprise AI
How Crittora Agent Authority Broker Governs Execution
Crittora Agent Authority Broker MCP brings Crittora's authority model to any MCP-compatible stack in minutes, without changing the control model underneath it.
FAST INSTALL. HARD STOP AT EXECUTION.
Deploy Crittora Agent Authority Broker MCP in minutes, then require every state-changing tool call to pass a mandatory runtime checkpoint before anything can commit.
EXACT AUTHORITY FOR EACH STEP
Agents never hold broad or long-lived access. Authority is granted just in time for a specific action, tool, and execution step.
INTEGRITY AT THE TOOL BOUNDARY
Requests, responses, and execution context stay protected as they move across orchestrators, MCP tools, and downstream services so approved actions stay intact.
PROOF AFTER EVERY ACTION
Each approved step emits a signed, portable record tying identity, intent, policy, and request data together for audit, forensics, and review.
FAST INSTALL. HARD STOP AT EXECUTION.
Deploy Crittora Agent Authority Broker MCP in minutes, then require every state-changing tool call to pass a mandatory runtime checkpoint before anything can commit.
EXACT AUTHORITY FOR EACH STEP
Agents never hold broad or long-lived access. Authority is granted just in time for a specific action, tool, and execution step.
INTEGRITY AT THE TOOL BOUNDARY
Requests, responses, and execution context stay protected as they move across orchestrators, MCP tools, and downstream services so approved actions stay intact.
PROOF AFTER EVERY ACTION
Each approved step emits a signed, portable record tying identity, intent, policy, and request data together for audit, forensics, and review.
Stop unauthorized agent actions.
Agent Permission Protocol
The Protocol Behind Crittora Agent Authority Broker
APP is the policy and permission protocol behind Crittora Agent Authority Broker. It binds each agent action to signed, time-bound scope before tools are exposed.
It gives Crittora Agent Authority Broker its authority model: scoped permissions, runtime enforcement, and signed proof for every action.
Agent Authority Readiness Evaluation
Evaluate Your Agent
Before It Touches Production
We review how your agent stack handles tool access, authority boundaries, and runtime proof so you can see exactly where control breaks and how to close the gap.
What We Test
State-changing tool calls (APIs, admin actions, automation triggers)
Authority boundaries (scope, expiry, audience binding)
Failure modes (replay, tampering, confused deputy, over-broad tokens)
What You Get
Signed Proof-of-Action receipts for allow/deny
A policy map of tool access by agent/workflow
A short risk summary (blast radius + recommended constraints)
AI agents are moving closer to real decisions and real tool execution. The risk surface is growing with them.
33%
Enterprise software applications expected to include agentic AI by 2028
15%
Of day-to-day work decisions Gartner says will be made autonomously by 2028
84%
Security professionals reporting an API security incident in the past 12 months
22%
Breaches in the 2025 Verizon DBIR where compromised credentials were the initial access vector
Sources: Gartner, Akamai, Verizon DBIR · Updated April 14, 2026
FOR DEVELOPERS & AGENT ARCHITECTS
DEPLOY CRITTORA AGENT AUTHORITY BROKER MCP IN MINUTES
Crittora Agent Authority Broker MCP is a direct way to add runtime authority control to any MCP-compatible agent stack.
Use it to control what agents can do, which tools they can touch, and what proof is recorded for every allow or deny decision.
Deploy Crittora in front of state-changing APIs and automations. Before a request reaches a system of record, Crittora verifies integrity and evaluates the action against explicit scope and expiry. Out-of-scope, expired, replayed, or tampered requests fail closed.
Wrap tool calls inside LangGraph, LangChain, or custom runtimes so the agent only receives a restricted tool surface for each step. Tools are exposed only when authorized, and the wrapper emits receipts inline with workflow execution.
Add Crittora Agent Authority Broker MCP to any MCP-compatible runtime to enforce scoped tool access, fail-closed authorization, and signed audit receipts without model lock-in. This is the fastest path to bringing Crittora's authority model into a running agent stack.
FOR AGENT BUILDERS
Questions Teams Should Ask Before Agents Reach Production
Clear answers on scoped authority, approvals, MCP integrations, and audit proof.
Treat all external content (docs, web, email, tickets) as untrusted input. Put the hard boundary at the execution layer: actions only run when a sealed, time-bounded permission policy authorizes that specific capability for that specific context. This turns prompt injection from "arbitrary actions" into "attempted actions that get denied unless already authorized." Prompt filtering can reduce bad proposals, but it is not an enforceable security control. Execution gating is.
Retrieval should enrich context, not grant authority. The agent can read untrusted text, but it cannot act on it unless a verified policy allows the requested tool/action within scope, TTL, and audience bounds. This prevents hidden instructions from becoming tool invocations by default. If your system relies only on prompt sanitization, you are betting security on text processing and model compliance. Gating is the reliable boundary.
Containment means the agent is constrained to what was explicitly granted: which capabilities, which targets/resources (if limited), which actor/audience, and for how long. If scopes are tight and TTLs are short, injection becomes far less catastrophic. Honest caveat: if you authorize broad access, injection can still cause broad harm inside that authorization. Containment quality is directly tied to how narrow your permissions are.
The model can request more access, but it cannot create it. If the agent tries to use an unapproved capability, the verifier denies it (fail closed). Any additional authority must come from an explicit escalation step that issues a new, time-bounded policy, often with human approval depending on risk. This prevents "the model got tricked" from turning into "the model granted itself admin."
Planning-time checks do not survive retries, replays, or modified requests once an agent is operating asynchronously. In real systems, the only defensible place to enforce authority is at execution, when the tool or API is about to commit a real change. If authorization happens upstream, you are trusting that nothing about the request, context, or intent has changed along the way.