AI ChatGuard
Generative AI Security at the Network Edge
Network-level, on-premises, protection that prevents sensitive data leakage to Generative AI applications, in real time, without disrupting productivity.
Network-Level AI Data Protection
Inspects and blocks encrypted AI chat traffic at the network level to prevent sensitive data exposure before it leaves the organization
Context-Aware AI Inspection
Understands prompts context, not just keywords, enabling accurate detection of PII, credentials, and proprietary data
On-Prem Data Security
All inspection and enforcement happen locally, so sensitive data is never exposed to external 3rd party service providers
Real-Time Prevention, Not Just Visibility
Automatically blocks or redacts sensitive data in AI interactions, without supervisor intervention
Policy-Driven Governance
Centralized policies definition and management for allowed, restricted, or blocked AI usage with full audit logging
Bypass-Resistant Enforcement
Network-level control applies to all users, devices, browsers, and applications, no endpoint agents required
AI ChatGuard addresses a new class of risk created by widespread, unsupervised, use of Large Language Models (LLMs) in the workplace. Traditional DLP and security tools cannot see or control encrypted AI traffic. As a result, sensitive data can be unintentionally shared through everyday AI chat interactions.
AI ChatGuard enforces control at the network edge, where data can be inspected, governed, and protected, without slowing down productivity or blocking innovation.
AI ChatGuard is deployed at the enterprise LAN-WAN edge as a network application.
It continuously analyzes AI-related traffic in real time and applies policy-based enforcement when risk is detected.
Key capabilities include:
– Deep packet inspection for generative AI traffic
– Contextual analysis of prompts and AI responses
– Detection of PII, credentials, secrets, and proprietary data
– Real-time redaction or blocking before data exits the companie’s perimeter
– Full audit logs and compliance reporting
All processing is performed on-premise, ensuring privacy, compliance, and predictable costs.
Technology, financial services, healthcare, professional services, and e-commerce environments with high AI adoption and compliance requirements.
Organizations adopting generative AI without dedicated AI security teams or policies.
Offer AI security as a managed service, extending existing network and security portfolios.
Core Deployment Scenarios
Protect Without Blocking Productivity
Employees continue using AI tools naturally, while sensitive data is automatically protected in the background
Preserve Data Sovereignty
Sensitive enterprise data never leaves the network perimeter, supporting regulatory and compliance requirements
Eliminate Shadow AI Risk
Enforce consistent AI usage policies across the organization, even for unmanaged devices and applications
Simplify Operations
No endpoint agents, no browser plugins, no user training required, security is enforced at the network layer
Capabilities
- Real-time inspection of generative AI traffic
- Context-aware prompt and response analysis
- PII and sensitive data detection
- Policy-based blocking and redaction
- On-premise processing and enforcement
- Centralized management and policy control
- Audit logs and compliance reporting
- Appliance or VNF deployment options
For deep security, threat prevention, and next-generation firewall capabilities
Extend SD-WAN with cloud-based security and Zero Trust protection