Runtime authority infrastructure for autonomous AI agents
Let AI agents act. Keep authority under control.
Authesta decides what an AI agent may do autonomously, what requires human authorization, and what must be denied — then verifies what actually happened.
-
create_purchase_order€4,500, 12 laptopsALLOWExecuted, verified MATCH -
merge_pull_requestinto mainREQUIRE AUTHORIZATIONWaiting for an approver -
create_purchase_order€120,000DENYAbove the agent’s authority -
update_vendor_bank_accountany vendorDENYProhibited for this agent
Access is not authority.
Giving an AI agent access to an API, tool or system does not mean it should have unlimited authority to use it.
As agents move from recommending actions to executing them, enterprises need control at the moment of action — not in a quarterly access review.
- Identity
- Authority
- Policy
- Action
- Context
Every consequential action gets a decision.
Safe within delegated authority.
Example Create a €4,500 purchase order.
Sensitive action that needs human judgment.
Example Create an €82,450 purchase order.
Outside the agent’s permitted authority.
Example Modify a vendor bank account.
An AI procurement agent, with clear boundaries.
The agent remains autonomous inside clearly delegated boundaries. Humans enter the loop only when an action crosses those boundaries.
Example authority profile: purchases up to €10,000 run automatically, purchases up to €100,000 need an approver, anything larger is denied. Changing vendor bank details is prohibited outright.
- €4,500ALLOW
- €82,450REQUIRE AUTHORIZATION
- €120,000DENY
update_vendor_bank_accountDENYat any amount
Technical workflows too.
The same model protects software delivery. A coding agent can open issues on its own, needs a human to merge into the main branch, and can never delete a repository.
create_issueALLOWmerge_pull_requestinto mainREQUIRE AUTHORIZATIONdelete_repositoryDENY
How an action is authorized
- IntentThe agent states the action it wants to take and its parameters.
- IdentityThe agent proves who it is with its own credential.
- AuthorityAuthesta loads the authority profile delegated to that agent.
- PolicyDeterministic rules are evaluated against the exact request.
- DecisionAllow, require authorization, or deny.
- ExecutionOnly the authorized action runs, once, through a single-use grant.
- VerificationObserved results are compared with what was authorized.
- EvidenceDecision, approval and outcome are recorded together.
Authorization doesn’t end at approval.
After execution, Authesta compares independently observed execution facts against what was authorized — and says plainly when it can’t.
- MATCH
- Every authorized field was observed, and each one matched.
- DEVIATION
- What happened differs from what was authorized.
- NOT VERIFIABLE
- Execution completed, but Authesta could not independently verify all authorized fields. It is recorded as unverified, never as a match.
Deploy where your risk model requires.
Authesta Cloud
Managed Authesta execution and authority infrastructure. The fastest way to protect an agent: connect it, define its authority, and route its actions through Authesta.
Private Gateway
Runs inside your environment. Target-system credentials stay there, and sensitive execution traffic can remain local.
Authesta Cloud handles the control plane: policy distribution, the authorization workflow, entitlements and evidence synchronization.
Protect MCP tool execution.
Authesta can sit between MCP (Model Context Protocol) clients and MCP tools, applying the same runtime authority model to every tool call.
MCP is how the agent reaches a system. It is not what decides what the agent may do.
- Integration
- MCPHow the agent reaches the system
- Authority
- ProcurementWhat the agent is allowed to do
- Tool
purchase_order.create_purchase_order - Decision
- ALLOWREQUIRE AUTHORIZATIONDENY
Integrations
- GitHubIssues, branches, pull requests and merges
- MCPTool calls from MCP clients
- HTTP / RESTYour internal and third-party APIs
More integrations are added based on pilot requirements.
Built for consequential actions.
Security architecture- Deterministic authorizationThe same request under the same authority gets the same decision. No language model decides.
- Bounded human authorizationAn approval covers one exact action, for a limited time.
- Single-use grantsEach authorized action can execute once.
- Anti-replay controlsA used or expired grant is refused.
- Agent credential authenticationEvery call is tied to a specific agent’s own credential.
- Tenant isolationEach organization’s agents, policies and evidence are kept separate.
- Signed policy bundlesA Private Gateway only enforces policy signed by Authesta.
- Signed entitlementsGateway entitlements are signed and checked locally.
- Private GatewayEnforcement and credentials inside your environment.
- Fail-closed enforcementIf authority cannot be established, the action does not run.
- Execution verificationOutcomes are checked against what was authorized.
- Evidence trailA record of every decision, approval and result.
More autonomy. Not more approvals.
The goal is not to put a human in every loop. Safe actions continue automatically. Only actions that cross a defined authority boundary wait for a person.
That is why authority is defined per agent and per action: the tighter the boundaries, the more the agent can safely do on its own.
Autonomy rate
A useful measure for a pilot: it rises as authority is defined well, without loosening control.
Protect one real AI agent workflow.
A focused pilot on one agent and one workflow that matters, run with your team.
Typical workflows Software delivery, procurement, internal APIs, MCP tools.
Apply for a pilot- Duration
- 30 days
- Scope
- 1 agent, 1 real workflow
- Protected actions
- 3 to 5
- Deployment
- Authesta Cloud or Private Gateway
- Cadence
- Weekly review
- Outcome
- Final findings and pilot report
Your AI agents are ready to act.
Make sure their authority is ready too.
Authorize. Enforce. Prove.