The Runtime Trust Layer for Enterprise AI
VisIQ checks every move an AI agent makes — before it happens. If it wasn't approved, it doesn't run.
This isn't monitoring. It's enforcement.
A new layer between your agents and your systems.
The Problem
Every agent you deploy runs on implicit trust. No enforcement boundary. No proof of what it accessed. No limit on what it can trigger.
An agent given a customer inquiry can query your CRM, pull financials, read emails, and extract data it was never meant to touch — all within a single session. No fence. No log that proves it was unauthorized.
An agent making a decision can send emails, trigger workflows, initiate transactions, escalate privileges — without a human in the loop. You find out after. Sometimes not at all.
Logs tell you what happened. They don't prove it was authorized. When something goes wrong — audit, breach investigation, board question — you have activity records, not cryptographic proof.
makes deployment possible.
The Framework
VisIQ is built around the four enforcement questions that define whether your AI agents are in control — or out of it.
You can't govern what you haven't mapped. DISCOVER scans your environment to surface every AI agent, MCP server, installed framework, and connected tool — giving you a complete inventory before enforcement even begins.
Before a request is processed, VisIQ ISOLATE scopes what the agent can see and touch. Data access is compartmentalized. Credentials are bounded. Agents cannot reach beyond what they were explicitly granted.
Every action an agent attempts is checked against authorization policy in real time — before execution. Not after. ALLOW is the decision gate. If it wasn't explicitly approved, it doesn't run. Multi-agent delegation chains are enforced here too — no sub-agent can exceed the authority of the principal that invoked it.
RECORD generates a cryptographically signed receipt for every enforcement decision — what was requested, what was allowed, what was blocked, and why. Not a log. A proof artifact built for audit and compliance. Every delegation hop in a multi-agent chain gets its own receipt.
One Agent. Two Realities.
Without VisIQ
With VisIQ
How It Gets Frictionless
Every HITL event is an opportunity to eliminate the next one. VisIQ turns human decisions into standing policy — automatically.
An action falls outside standing policy. VisIQ ALLOW flags it — execution pauses.
Approve or deny — it's routed to the right person. One decision, fully logged.
One click turns that decision into a standing rule — approve or deny, it doesn't matter. The rule is the policy now.
That scenario never requires human review again. ALLOW enforces it at runtime — no queue, no delay.
Policy coverage grows with every decision. Over time, agents operate autonomously — within boundaries humans set.
The Platform
VisIQ is composable runtime infrastructure. Each primitive addresses a distinct enforcement problem. ORCHESTRATE governs how all four operate when agents chain together.
What AI is running.
You can't govern what you haven't mapped. DISCOVER scans your environment to surface every agent, MCP server, installed framework, and connected tool — a complete inventory before enforcement begins.
What AI can know.
Enforces the execution boundary before an agent ever acts. VisIQ ISOLATE scopes data access, compartmentalizes credentials, and prevents lateral reach across systems.
What AI can do.
The authorization decision gate. Every action is evaluated against policy in real time — before it executes. ALLOW is the line between an AI agent that operates with authority and one that acts on assumption.
What happened — and what was allowed.
Not a log aggregator. RECORD generates a cryptographically signed enforcement receipt for every decision VisIQ makes — bound to posture, policy version, and enforcement basis. Written before output is sent.
Monitoring tells you what happened. VisIQ decides whether it gets to happen. That's a different category — and a different product.
Landscape
VisIQ is not a SIEM, not a framework, and not a policy document. It is the infrastructure that sits between your AI agents and your systems — before the action, not after.
| Capability | Monitoring / Observability | AI Frameworks | Manual Policy | |
|---|---|---|---|---|
| Pre-execution enforcement | yes | no | no | no |
| Real-time authorization check | yes | no | partial | no |
| Signed proof of enforcement | yes | no | no | no |
| Multi-agent delegation control | yes | no | partial | no |
| Agent-agnostic (any LLM / tool) | yes | partial | no | yes |
| Audit-ready compliance artifacts | yes | partial | no | no |
✓ Fully supported · △ Partial or requires configuration · — Not supported
GRC Alignment
Enterprise GRC is catching up to Agentic AI fast. VisIQ is the runtime infrastructure that makes your AI agent stack auditable today — before examiners come asking.
SOC 2 Type II
SOC 2 examines whether access to systems is authorized, logged, and bounded. AI agents create a new gap: they can act on behalf of users without traditional access controls applying to them. VisIQ closes that gap at the runtime layer.
NIST AI RMF
The NIST AI RMF requires organizations to govern AI system behavior and manage risk across the full deployment lifecycle. VisIQ implements the enforcement and documentation layer the framework calls for — at runtime, not just on paper.
EU AI Act
The EU AI Act mandates risk management systems, logging, and human oversight for high-risk AI applications. Agentic AI systems operating in enterprise contexts will face significant scrutiny under these provisions. VisIQ is aligned with these requirements from day one.
ISO 42001
ISO 42001 establishes requirements for organizations deploying AI responsibly — including documented controls, operational boundaries, and ongoing monitoring. VisIQ is the control infrastructure that makes ISO 42001 attestation achievable for Agentic AI environments.
Intellectual Property
VisIQ has filed across all four enforcement primitives — building a patent portfolio that protects the category, not just a feature.
Private Alpha · Q2 2026
The layer that decides whether they should be allowed to act — didn't exist. Until now.
