Enterprise AI Security & Governance Platform

Control AI before sensitive data leaves the endpoint.

ByteGuard discovers and governs enterprise AI usage across browser, desktop, CLI, IDE and local LLM workflows. Prompts, files, tools and identities are evaluated against your policies before risky data is submitted.

  • 100%
    On-Premises
  • WindowsmacOSLinuxWindows
    macOS / Linux
  • Pre-Provider
    Enforcement
  • ChromeEdgeFirefoxChrome / Edge
    Firefox Extensions
  • Enterprise Grade
    Security Architecture

The Challenge

AI is no longer one application.

Your employees use AI in browsers, desktop apps, CLI tools, IDE extensions, local models and agent ecosystems. Traditional security controls cannot see, understand and govern this diverse landscape with the context it requires.

  • Web AIChat & Copilots
  • Desktop AINative Applications
  • CLI AITerminal Tools
  • IDE AICoding Assistants
  • Local LLMOn-Prem / Offline
  • MCP ServersModel Context
  • Tools & SkillsAgent Capabilities

Representative examples

ChatGPTClaudeGeminiM365 CopilotGitHub CopilotCodexClaude CodeVS CodeCursorWindsurfOllamaand many more

Three questions every enterprise must answer

Who, what and where, before data leaves.

Governance

Who is using which AI surface, and with what data?

Complete identity mapping, surface discovery and data classification tracking.

Security

Are prompts, files and tool calls checked before leaving the organization?

Inline inspection, DLP policies, real-time blocking and credential protection.

IT Security

Which endpoints host these surfaces, and which versions and policies apply?

Endpoint posture validation, app version control and compliance enforcement.

The Solution

A unified control plane for enterprise AI.

ByteGuard brings AI data security, surface intelligence, identity and policy, agentic governance and audit into a single platform, with enforcement at the point where it matters: before data leaves the endpoint.

How it works

Know every AI surface. Control every interaction.

Discovers AI use, establishes identity, inspects content, makes and enforces decisions, and records evidence.

01

Discover

Identify and map all enterprise AI entry points and active models.

02

Govern

Establish granular usage policies, data boundaries and roles.

03

Enforce

Apply real-time inline safeguards and prevent data leaks.

04

Prove

Generate immutable audit logs and compliance evidence.

Pre-provider enforcement

Decide before the prompt reaches the provider.

On supported enforcement surfaces, prompts undergo identity and policy checks before reaching the provider. Every request ends in a clear outcome: allow, block or quarantine for approval.

How enforcement works

Budget & usage management

Know how AI is used. Set the limits.

Report AI usage by user, provider, account and department, then manage it with quotas. When a quota is reached, policy decides what happens next, from allow to block.

Explore budget management

Deployment coverage

Agents and extensions for every enterprise endpoint.

Endpoint agents for Windows, macOS and Linux, with managed browser extensions for Chrome, Edge and Firefox.

ByteGuard Intelligence

One AI surface database. Shared with your whole security stack.

Continuously expanding AI surface data drives ByteGuard policy and adds AI awareness to the network and endpoint tools you already run.

LLM Chat URLsWeb AI endpoint data
Provider Route DataNetwork & egress paths
Desktop App Hash / SignerBinary & process identity
IDE / CLI SurfacesDeveloper tool telemetry
Shared intelligence layerByteGuardIntelligence

Central surface graph & threat engine

ByteGuard PolicyInline rule engine
SWG / Proxy / FirewallNetwork security stack
DNS SecurityDomain & IP filtering
EDR / SIEM EnrichmentTelemetry & audit logs

See ByteGuard in your environment.

Book a walkthrough with our team. We will map your AI surfaces and show policy enforcement live.