Safeguard Federal Data in the Age of Generative AI
Generative AI and large language models (LLMs) are becoming tools of choice across government — for drafting, analysis, and rapid decision support. But with their rise comes a new risk. Sensitive data is increasingly being fed into AI tools and LLMs — sometimes intentionally, sometimes unknowingly. Once inside these platforms, agency data may be exposed to external services, stored beyond visibility, or even exfiltrated. Traditional security controls are often blind to these AI-driven data flows.
Federal agencies need network-level visibility and policy enforcement that aligns with the realities of AI adoption.
Get GenAI Monitoring at the Network Layer
Agencies are using generative AI tools to accelerate report drafting, code review, and other things. Employees, contractors, and partners may unknowingly paste sensitive content — or upload files — into these platforms. Here’s how Cynamics Federal helps mitigate the risk of sensitive data being leaked:
Deployment without disruption
- Monitors network flows tied to AI services, cloud APIs, and browser sessions
- No invasive agents or endpoint changes required
Policy validation in action
- Detects when a user uploads a file containing sensitive content to an unapproved AI platform
- Cross-checks URLs and IPs against allowlists and threat intel sources
Rule generation and alerts
- Automatically creates monitoring rules when new AI domains or endpoints are observed
- Surfaces alerts with context: who attempted it, what was uploaded, destination, and policy violation triggered