Let AI Agents Act.
Keep the Enterprise in Control.

VisIQ applies policy to supported AI interactions and agent workflows, helping security teams protect sensitive data before it leaves and evaluate actions before they execute.

Prefer to start on your own? Create a free account

 Control before the action.  Tamper-evident receipts after it.

VisIQ harnesses Gemini, Microsoft Copilot, Claude, Perplexity, Claude Code, Cursor, OpenClaw, Codex, GitHub Copilot, Cline, OpenCode, LangChain, LlamaIndex, Vercel AI SDK, Mastra, VoltAgent, Semantic Kernel: every framework is governed inline, before execution.

AI DLP for the enterprise stack

Protect data across every AI surface, without starting over.

VisIQ is designed to apply policy across browser AI, enterprise copilots, LLM and API traffic, desktop and local AI, agents, MCP, RAG, and multimodal workflows.

Coding AgentsGoverned inline, in the CLI

Claude Code
Cursor
OpenClaw
Codex

Custom AgentsYour runtime, our harness

LangChain
OpenAI Agents SDK
LlamaIndex
Vercel AI SDK

SaaS AgentsControlled inline through our Context Firewall

ChatGPT
Gemini
Microsoft Copilot
Claude
Perplexity

DiscoveryFind what is already running

Native Sensor
Microsoft Intune
CrowdStrike
SentinelOne

Data OutputsDecisions land where your team already looks

Datadog
Elastic
Rapid7
Fluency

The security outcome

Protect AI use before data leaves.

The hard part is not building agents. It is trusting them to take consequential actions without creating financial, operational, or compliance risk.

01

Protect sensitive data

Help keep protected values out of supported AI interactions before they leave the user environment.

02

Control agent actions

Evaluate supported retrievals and tool actions against policy before they execute.

03

Keep review explicit

Route configured sensitive operations for human review instead of hiding the decision path.

04

Prove what happened

Keep decision records and supported tamper-evident evidence tied to policy and operation.

How VisIQ gets you there

Protect what people send. Control what agents do.

Start with AI DLP at the point of use, then extend the same control model into supported agent data and action paths.

See how VisIQ works

01

Protect before submission

Context Firewall helps mask protected values before supported browser AI interactions are submitted.

02

Apply policy before action

Supported agent operations are evaluated against policy before they reach connected systems.

03

Keep the evidence

Decision records preserve what happened, why, and under which policy on supported workflows.

Access is not authority

Access lets an agent in.
Authority determines what it can do.

IAM and RBAC establish access. VisIQ adds the runtime decision layer enterprises need once agents can take actions on their own, based on the action, context, conditions, and policy in force.

Explore the platform

One agent action: Permit. Mask. Block. Escalate. Prove.
One agent action: Permit. Mask. Block. Escalate. Prove.

VisIQ Lab Services

Need help getting the agent into production?

VisIQ Lab Services helps enterprise teams design, build, integrate, and deploy agentic workflows, then put the right runtime controls around them from Day 1.

Design.Build.Deploy.

The install

A couple of lines. Governed.

VisIQ installs inside the agent you already have. Pick your framework and language, or wire a CLI agent from the terminal, and watch the status flip.

+3 more
+2
agent.ts○ UNGOVERNED

import { AgentExecutor, createOpenAIToolsAgent } from "langchain/agents";
import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({ model: "gpt-4o" });
const agent = await createOpenAIToolsAgent({ llm, tools, prompt });

const executor = new AgentExecutor({ agent, tools });
const result = await executor.invoke({ input: "What was Q3 revenue?" });
This agent runs ungoverned. Any tool call executes unchecked.
Start Free

Run your own pilot.

Create an account and start testing VisIQ with your own use cases.

Start Free
Enterprise Evaluation

Walk through it with us.

Bring your architecture, agent workflows, and risk scenarios for a guided enterprise evaluation.

Request a Demo

Ready to evaluate

Start with Enterprise AI DLP.

Explore the full platform with dummy data, start free with your own pilot, or talk through an enterprise rollout.