Beyond the Firewall: Real-Time Security for the Generative AI Era

Your firewall is robust, your endpoint protection is strong, but there's a new attack vector you likely aren't monitoring: the AI chat window. When an employee pastes proprietary source code into ChatGPT for debugging or uploads a confidential contract to Claude for summarization, your sensitive data leaves the organization in seconds. This is the new frontier of data exposure.

Why Traditional Security Falls Short

Legacy security tools are blind to the context of AI interactions. They can't parse a prompt to see if it contains a customer list, API credentials, or strategic roadmap details. This gap creates immense risk from otherwise well-intentioned employee productivity.

The Pillars of AI-Specific Security

To secure the generative AI workspace, you need protection built for this new paradigm:

• Real-Time Detection & Enforcement: Security must happen as the user types, not in retrospect. By inspecting prompts and responses in real-time, the system can automatically redact, mask, or block sensitive data before it ever reaches the AI model.
• Defense Against AI-Specific Threats: The risks go beyond data leakage. Prompt injection attacks can hijack AI conversations, and models can sometimes generate harmful or biased outputs. AI security must defend against these novel threats directly in the interaction flow.
• Uncovering Shadow AI: A major risk is unauthorized AI use. A proper security layer detects risky or unsanctioned AI activity across the organization, bringing Shadow AI tools and personal accounts into the light where they can be governed.

Securing AI Wherever It Lives

AI isn't just in a browser tab. It's in code editors like VSCode, desktop applications, and your backend API stack. Comprehensive AI Security requires a platform that adapts—using lightweight browser extensions for user-facing tools and API integrations or gateways for backend systems—all feeding into a central policy engine.

In the generative AI era, security must be contextual, immediate, and ubiquitous. It's about enabling safe collaboration with AI, ensuring that the drive for innovation doesn't become your biggest data breach.