Visibility
Track who sends which prompt, to which AI provider, with which file, URL, tool call, identity and endpoint context.
Enterprise AI Security Platform
One Platform. Governed AI Control.
ByteGuard brings browser chatbots, coding agents, IDE extensions, prompts, files, tool calls, user identities and permissions into one enterprise AI security control plane.
Built for security,compliance and engineering teams.
Controlsensitive data before submission
Exposeshadow AI and developer-agent usage
Preserveinvestigation-ready audit trails
Unified AI control
Visibility, control and auditability for every AI interaction.
ByteGuard is built for enterprises that want to enable AI adoption without losing control over sensitive data, source code, customer information, secrets and regulated workflows.
Control
Inspect prompt and attachment flows before submission; allow, quarantine or block risky usage through policy decisions.
Inventory
Centralize AI tool, MCP server, permission, user identity, extension and coding-agent inventory across endpoints.
Protected surfaces
Browser chatbots, coding agents and IDE extensions in one target registry.
Bundle-based protection lets new AI tools be added through managed metadata instead of product code changes.
Protected ChatBotsChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, DeepSeek, Qwen, Mistral, Poe and more.
Protected Coding AgentsCodex, Claude Code, Cursor, Windsurf, Devin, Amazon Q, Gemini Code Assist, Cline, Aider, OpenHands and more.
Protected IDE ExtensionsCopilot, JetBrains AI, Tabnine, Continue, Roo Code, Sourcegraph Cody, Qodo, Snyk, Semgrep and more.
Browser extensionOrigin, request matcher, prompt extractor, response selector
Desktop agentPrompt submit, tool use, session start, response capture
Bundle registryChatbot, coding-agent and extension targets
Central APIPolicy decision, event storage and audit trail
PromptProvider, role, URL, conversation ID, user and device metadata.
FileHash, raw file, extracted text preview and attachment relation.
ToolMCP tools, permissions, plugin directories and agent capabilities.
DecisionAllow, quarantine or block with risk score and matched rule context.
Policy engine
Inspect before data leaves the user workflow.
ByteGuard evaluates prompt and attachment flows through a Lua-based rule engine and preserves every decision as evidence for security, compliance and incident response.
Capture
Browser extension and desktop agent capture prompt, file, tool and identity context from AI surfaces.
Evaluate
Policy checker scores risk, records matched rule IDs, reasons and extracted evidence.
Decide
Requests are allowed, quarantined for admin review or blocked before risky submission.
Investigate
Teams follow the complete conversation chain, raw event data, attachments and decision trail.
Inventory & permissions
Expose shadow AI usage at user, tool and permission level.
Desktop agent inventory helps security teams understand which AI tools are installed, which identities are active and which permissions are available to developer agents.
MCPVisibility & Control
Collect MCP server configurations, exposed tools, permissions and related risk signals from developer environments.
ToolsVisibility & Control
Track AI tools, extensions, plugins and agent capabilities with policy-ready inventory context.
SkillsVisibility & Control
Surface installed skills, automation packs and reusable agent workflows that can affect data handling.
IdentityVisibility & Control
Map user identities, auth sources, account metadata and ownership context for investigation workflows.
UsageVisibility & Control
Monitor prompt, file, tool and session activity across AI surfaces with audit-ready event history.
Local AgentVisibility & Control
Understand local agent installs, runtime behavior and endpoint-level permission exposure.
Technical architecture
Built as an extensible AI security platform.
Rust backend, React console, Lua policy checks, ClickHouse storage and filesystem attachment store provide a practical foundation for enterprise AI governance.
Target, user, and time-based policy controls
Flexible Allow / Quarantine / Block decision thresholds
Long-term prompt and response audit history
Sandbox analysis for binaries and documents
OCR inspection for image prompt content
Low-latency inline decisioning
Multiple enterprise deployment options
Ready for governed AI adoption?
Enable AI without losing control of data, code and auditability.
Deploy ByteGuard to make AI usage visible, policy-driven and investigation-ready across browser, IDE and developer-agent workflows.