One product, not a tool per AI surface
See, control, and prove responsible AI use — in a single operating model instead of stitching together point tools for every new AI surface.
One operating model for responsible AI
One consistent layer across employee tools, business workflows, and autonomous agents.
See
Know where AI is being used across the business—including activity security teams did not approve.
Control
Stop sensitive data and unsafe actions in real time, wherever AI touches the business.
Prove
Give leadership, customers, auditors, and regulators a clear record of what happened.
One control—not a different product for every AI tool
Most tools cover one AI surface. ContextGuard applies one policy and keeps one audit trail across all of them.
| Capability | ContextGuardone control layer | AI gateway onlyLLM firewall / proxy | Browser-only toolshadow AI extension | Traditional DLPnetwork / endpoint |
|---|---|---|---|---|
| Self-hosted data planeScanned content stays in your infrastructure | ✓ | ◐ | ◐ | ◐ |
| Employee AI in the browserRedact or block before a prompt is sent | ✓ | — | ✓ | ◐ |
| Agent and MCP tool callsPer-tool allow · scan · block | ✓ | ◐ | — | — |
| Indirect injection defenseScans tool results and retrieved context | ✓ | ◐ | — | — |
| Document fingerprintingMatches your own documents, not just patterns | ✓ | — | — | ◐ |
| Shadow AI discovery on endpointsAI tools, coding agents, MCP configs | ✓ | — | ◐ | — |
| Compliance mappingOWASP LLM, GDPR, SOC 2, EU AI Act +4 | ✓ | ◐ | ◐ | ◐ |
| One policy for every surfaceBrowser, gateway, MCP, SDK, CLI hooks | ✓ | — | — | — |
✓ covered · ◐ partial or varies by product · — outside the category · a general comparison of product categories, not of any specific vendor
Start with the AI workflow that matters most.
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