AI is shrinking the time to respond.
Five Eyes cyber leaders warned that AI is increasing the speed, scale, and sophistication of cyber threats and shortening the interval between vulnerability discovery and exploitation.
Read the joint statement →Applications · AI agents
AI agents
Does this agent have authority for this action and its resulting consequence?
Capability and tool access do not establish authority. Authority Control evaluates whether the action the AI is trying to carry out is within the authority the organization granted.
The pattern
One valid instruction becomes many permitted actions. Their sum commits the organization.
ENTRY
A valid task
A remediation agent gets a legitimate instruction: stabilize the service. Entry is a valid identity, token, or service account. Identity verifies the actor. It does not settle authority to commit.
ALONG THE WAY
Many permitted actions
It works across approved tools, opening changes, adjusting logging, modifying access rules. Each local check passes.
COMMITMENT
Production configuration promoted
The individual changes sum into a production configuration the organization now operates under. The Authority Check evaluates authorized scope and configured cumulative limits across the full sequence.
Without the boundary, the posture change stands and monitoring assembles the picture after the change has taken effect. With it, the out-of-scope commitment is deferred or blocked, and a decision record is written either way.
Why now
The gap predates AI. Agents increase what moves through it.
01
One instruction becomes many actions
An agent can turn a single task into tool calls, sub-agent activity, data operations, purchases, deployments, and policy changes.
02
Consequence arrives faster
Automated paths can move from valid access to organizational effect before cross-domain governance can form one answer.
03
Records remain scattered
Approvals, logs, tickets, chat threads, model outputs, and workflow events rarely produce one durable authority record.
Evidence note
The agent pattern, one instruction producing many individually permitted actions, now appears in autonomous agent activity. The run-through is illustrative. Documented cases carry their sourcing in the evidence base.
Emerging strategic risk
Explore the strategic view →
Authority under agentic pressure
See how the same authority rule applies as advanced agents search more paths, coordinate more attempts, and operate across more systems.
The control boundary
Even if the agent is fooled, the resulting action still needs authority.
Agent defenses reduce manipulation, unsafe tool use, and prompt-injection risk. Authority Control does not replace those defenses or judge model quality. It governs whether the action produced by the agent is within the authority the organization granted.
Agent defenses askCan the model or agent be manipulated?
Prompt controls, scanners, tool restrictions, and monitoring reduce the chance of unsafe behavior.
Authority Control asksMay this resulting action create organizational consequence?
Client-approved authority, scope, conditions, evidence, and configured limits determine the outcome.
What the architecture enforces
The agent surface owns the cumulative story.
A single agent action may fall within scope viewed alone. For commitment classes configured with cumulative limits, Authority Control evaluates the sequence against prior determinations.
No agent commitment without verified authority, attribution, and record.
- Every consequential agent action is evaluated before it takes effect.
- Every determination returns Permit, Defer, or Block and produces a record.
- Every agent is held to the scope of authority it was granted.
- Where cumulative limits are configured, exposure across a sequence is part of the authority question.
AI can assist with policy translation, analysis, and explanation. It does not decide authority. Authority decisions follow client-approved policy and accountable organizational authorization.
Design partners
Agent authority, evaluated where consequence is created.
The organization defines what each agent may commit. The boundary evaluates every proposed action against that grant.