Your AI Infrastructure Firewall
Complete Visibility and Control Over Your AI Data Flows
ContextGuard is an AI infrastructure firewall that monitors every data flow between your systems and AI agents — in real time. See what is being accessed, enforce your policies, and maintain a full audit trail for compliance.
Real-time monitoring · Policy enforcement at the infrastructure level · Full audit trail for EU AI Act & GDPR compliance
The AI Visibility Problem
Your teams are connecting AI agents to internal systems at an accelerating pace. AI coding assistants access codebases. Agentic workflows query databases. MCP servers bridge AI models with internal tools and APIs. And most enterprises have no idea what data is flowing through these connections.
Data exposure you cannot measure
AI agents may be sending proprietary code, customer data, or internal documentation to external services — and your existing security tools were not built to see it.
Policy violations you cannot detect
Without visibility into AI data flows, you cannot enforce data handling policies. You only discover violations after the incident.
Compliance gaps you cannot close
The EU AI Act and evolving GDPR interpretations require control over AI data processing. Without an audit trail, you are operating on trust, not evidence.
Shadow AI you cannot govern
Developers will use AI tools whether or not security approves them. The question is whether you have infrastructure-level visibility.
What ContextGuard® Does
Purpose-built for the way AI agents actually work — across every protocol, every data flow, every interaction.
Real-Time AI Data Flow Monitoring
Every request between your systems and AI agents passes through ContextGuard. You see what data is being accessed, which agent is accessing it, which protocol is being used, and where the data is going. No sampling. No delay.
Policy Enforcement at the Infrastructure Level
Define your data handling policies once. ContextGuard enforces them automatically — blocking, redacting, or flagging data flows that violate your rules. No reliance on individual developer compliance.
Full Audit Trail for Compliance
Every AI data flow is logged with full context: timestamp, source, destination, data type, policy action taken, and agent identity. When auditors ask "what data did your AI agents access?" — you have the answer in seconds.
Protocol-Native Architecture
Built for the way AI agents actually work. Native support for MCP servers, REST APIs, GraphQL endpoints, and direct model integrations. Purpose-built for AI data flows.
Zero-Friction Deployment
Deploys alongside your existing infrastructure. No rip-and-replace. Integrates with your current security stack and starts delivering visibility from day one.
How It Works
From deployment to full audit readiness — in four steps.
Connect
Deploy ContextGuard alongside your AI infrastructure. It integrates with your existing MCP servers, API gateways, and AI tool configurations. Setup takes hours, not weeks.
See
Within minutes, ContextGuard maps every AI data flow in your organization. A real-time dashboard showing what data is being accessed, by which agents, through which protocols.
Control
Define your policies — what data can flow where, under what conditions. ContextGuard enforces them automatically. Violations are blocked, flagged, or redacted based on your rules.
Prove
Every action is logged. Generate reports that show exactly what happened, when, and what ContextGuard did about it. Complete audit readiness.
See ContextGuard® in Action
The best way to understand ContextGuard® is to see it running against your own AI infrastructure. Book a 30-minute technical demo.
30 minutes. No slides. Live product walkthrough.