Give your agents the business and security policies they must follow before touching your enterprise systems.

AIControl gives security and IT teams control over what every AI agent is allowed to do. Approve what's safe, route what's unclear to a human reviewer, and block what breaks policy, with a permanent record for every decision.

The control plane for what your AI agents are allowed to do.
Forrester · Brian Hopkins · 2026

“Policy enforced as code, rather than written down and hoped for.”

Forrester · Identiverse 2026 Recap

Agent authorization has to be real-time and boundary-constrained — their own example: an agent permitted to spend up to $300 on kitchenware, and nothing else.

via Gartner analyst coverage · 2026

40% of enterprises are expected to demote or decommission autonomous AI agents by 2027, after governance gaps surface post-incident.

This is already happening inside real companies.

Findings from surveys and interviews with IT and security teams in 2026.

Cloud Security Alliance and Token Security · April 2026

65% of enterprises had an AI agent incident in the last year.

Surveyed 418 IT and security leaders. 61% involved exposed data, 43% disrupted operations, and 35% caused financial loss.

Gravitee · February 2026

Most agents run without anyone watching them.

82% of executives trust their existing policies. Only 47% of their agents are actually monitored or secured.

CX Today · February 2026

It can send money to the wrong person.

Miguel Fornes, Information Security Manager at Surfshark, on what changes when an agent acts instead of just replying.

AIControl reviews every action before it happens, allows or denies or escalates it, and logs the decision.

How It Works

One check, before every action.

AI AgentMCP clientAIControl Gatewaytools/list, call_toolPolicy Enginein-process, deterministicAllowDenyReviewexecutes normallyblocked, never executesheld for human decisionDownstream MCP serverallowed calls onlyaudit_eventsappend-onlyDashboardreads audit trail
1

Intercept

Every tool call your agents make reaches AIControl before it executes.

2

Evaluate

The policy engine evaluates it and returns allow, deny, or review.

3

Log

Every decision is written to an audit trail you can hand to compliance.

Deterministic Policy Engine

Every decision is deterministic — same input, same output, every time. No LLM judgment calls.

Natural-Language Authoring

Business and IT describe a policy in plain English, and a human reviews it before it goes live.

Human-in-the-Loop

Unclear calls pause and route to a named reviewer over Slack.

Immutable Audit Trail

Every decision is recorded permanently for SOC 2, GLBA, and HIPAA evidence.

Self-Hosted

Runs in your own cloud or on-premises. Your data never leaves your environment.

Policy Catalog

What one rule can express.

Rule typeUse caseIndustryBusiness riskCompliance riskFramework
Tool blockingshipped defaultDeny execute_code, drop_table, shell_exec, rm_rf regardless of which agent calls themCross-industryIrreversible system damage from one bad tool callUncontrolled, unlogged privileged operationSOC 2
Outbound containmentshipped defaultBlock unapproved outbound HTTP/webhook calls; route external-API calls to reviewCross-industryUnauthorized data leaving the enterprise perimeter via an agent callUncontrolled third-party data transferSOC 2 / ISO 27001
Numeric-threshold approval routingRoute a claims payment release over $50,000 to a named reviewer instead of auto-executingInsuranceOne agent error authorizing a large payout with no human checkUnauthorized financial disbursementSOC 2
Parameter-scoped least privilegeRestrict a care-coordinator agent's patient lookups to its assigned cohort onlyHealthcareAgent surfaces patient data outside its assigned scopePHI accessed outside an authorized care relationshipHIPAA / SOC 2
Bulk-query / mass-extraction preventionDeny a credit-bureau query the moment applicant_id is a wildcardLendingBulk extraction of applicant credit files in one callMass unauthorized access to regulated financial dataGLBA / OCC / SOC 2
Per-agent tool allowlistingAn agent can only call tools explicitly assigned to it, enforced before any policy loadsCross-industryTool-scope creep as integrations are added over timeUnauthorized-capability exposure— (mechanism, no framework tag)

Tool blocking and outbound containment policies are available by default. Write the equivalent rule for your own tools, thresholds, industry, your business and use cases.

Watch a business agent get stopped before it acts.

We'll intercept a real tool call live, block or escalate it against your policy, and write the audit record, in a 30-minute demo.