F5 AI Gateway Introduces Data Leakage Detection and Prevention

Generative AI is transforming how organizations innovate and operate, yet every prompt and response carries the risk of exposing sensitive information. Personal data, financial records, proprietary code, and other confidential information can become vulnerable during AI interactions, often without detection. Security teams need a precise, real-time control point to inspect, protect, and govern the flow of data without disrupting workflows or compromising user experiences. That control point now exists.

Today, we are bringing data leakage detection and prevention to the F5 Application Delivery and Security Platform (ADSP) with F5 AI Gateway. With F5 ADSP, enterprises can secure conversational content in AI-powered applications.

Powered by AI Gateway, F5 ADSP enables straightforward setup and tuning for security teams, architects, and operators. Teams can create policies and refine detection parameters across environments with minimal effort. Enriched detections connect to organizational security tools, such as security information and event management (SIEM) and security orchestration, automation, and response (SOAR) platforms, allowing analysts to quickly correlate incidents and trigger automated responses.

For teams building applications, the inline enforcement process occurs transparently, preserving the speed and efficiency of AI interactions. Users receive only compliant responses, while administrators gain visibility and security at scale, without disrupting the end-user experience. 

Organizations rarely operate with just one AI model in one location; AI deployments often span internal systems, managed cloud services, and external inference points across geographies. As part of F5 ADSP, AI Gateway ensures that security standards are enforced consistently across these environments, including during model routing. Data leakage detection and prevention provides:

• Continuous auditing and monitoring of data access and transmission across every deployment environment.
• Strong authentication and authorization, along with credential management and role-based access control (RBAC) to align user actions with least privilege principles.
• Inline evaluation of every prompt and response that blocks or redacts content immediately, without reliance on external proxies or endpoint agents.

These capabilities ensure enterprises can write their governance policies once and trust that they are applied consistently wherever AI teams operate. 

Organizations define sensitive data differently, from customer lists to proprietary information or domain-specific rules. To address this, AI Gateway is highly extensible so that developers can build custom detectors, define large language model (LLM) routing logic, and implement advanced sanitization rules. These detectors integrate into enforcement policies, providing real-time customization and a unified enforcement layer without disrupting operations.

Enterprise governance depends on full visibility into how data flows—from user prompts to AI model responses and back again. Data leakage detection and prevention offers enhanced logging, recording every transformation applied to a prompt, response, and metadata. Whether for debugging, compliance audits, or operational observability, organizations gain a trail that can be reviewed or visualized across their data pipeline.

Development teams can resolve errors faster, compliance teams can verify adherence to organizational policies, and operations teams can continuously optimize how AI tools interact with the underlying infrastructure. 

Keys, tokens, and certificates are essential for securing AI infrastructure but are often vulnerable to attacks. AI Gateway enhances credential security by integrating enterprise-grade secrets management, following zero trust and supply chain security principles. It encrypts credentials at rest, rotates them automatically, prevents clear-text transmission, and ensures seamless integration with leading tools. This comprehensive approach protects both sensitive data and AI infrastructure.