WitnessAI, the first enablement platform for secure AI use, has announced its integration with F5 BIG-IP SSL Orchestrator. This collaboration enhances visibility into encrypted application traffic, providing enterprises with deeper insights into AI activity. The partnership strengthens AI governance by ensuring secure, policy-driven AI adoption across organizations.
Highlights of the Integration
1. Enhancing AI Traffic Visibility
- F5 BIG-IP SSL Orchestrator already enables enterprises to inspect encrypted application traffic.
- With WitnessAI integration, organizations gain granular insights into AI-related network traffic.
- Helps detect unauthorized AI usage, also known as “shadow AI.”
2. AI Governance and Compliance Support
- Witness/OBSERVE creates a catalog of AI apps accessed by employees.
- Logs and classifies AI interactions to support compliance requirements.
- Identifies risks and ensures responsible AI usage.
3. Enforcing AI Acceptable Use Policies
- Witness/CONTROL applies policy-based activity guardrails.
- Regulates AI usage based on identity and intended purpose.
- Protects against data leaks, misinformation, and compliance violations.
4. Unified Security and Risk Management
- The integrated solution enhances data protection for AI interactions.
- Prevents submission of sensitive enterprise data to unauthorized AI apps.
- Blocks harmful AI-generated responses that could misinform employees.
5. Industry Perspectives on AI Security
- Rick Caccia, CEO of WitnessAI:
- Highlights the importance of visibility into AI destinations and risk analysis.
- Emphasizes that the integration helps enterprises protect employee AI usage.
- Mike Rau, SVP at F5:
- Notes the growing adoption of GenAI and the need for secure AI enablement.
- Stresses that the collaboration with WitnessAI makes AI safer and more effective.
WitnessAI’s integration with F5 BIG-IP SSL Orchestrator delivers a robust solution for AI security, governance, and compliance. By combining AI traffic monitoring with policy enforcement, enterprises can enable safe and responsible AI adoption while preventing data loss and regulatory risks.
