AI Data Defense
Startups & Scaleups
Information
AI Data Defense is developing a conversational security platform that helps enterprise security, compliance, and AI teams safely adopt generative AI by preventing sensitive data leakage and governance gaps across AI interactions.
As companies deploy tools like ChatGPT, Claude, and other large language models, the primary risk is no longer at the network or endpoint level, but inside the conversation itself, where employees and AI agents interact with sensitive data.
AI Data Defense addresses this by operating as a real-time control layer between users, applications, and AI models. The platform intercepts, analyzes, and protects data before it reaches the model using techniques such as redaction, tokenization, and policy enforcement, ensuring compliance with regulations like GDPR, HIPAA, and the EU AI Act.
What makes AI Data Defense unique is its inline, model-agnostic approach. It governs every AI interaction across public and private models, provides a full audit trail, and enables enterprises to route data securely based on sensitivity, jurisdiction, and policy requirements.
The result is that organizations can scale AI usage with confidence, maintaining productivity while ensuring control, accountability, and compliance.
As companies deploy tools like ChatGPT, Claude, and other large language models, the primary risk is no longer at the network or endpoint level, but inside the conversation itself, where employees and AI agents interact with sensitive data.
AI Data Defense addresses this by operating as a real-time control layer between users, applications, and AI models. The platform intercepts, analyzes, and protects data before it reaches the model using techniques such as redaction, tokenization, and policy enforcement, ensuring compliance with regulations like GDPR, HIPAA, and the EU AI Act.
What makes AI Data Defense unique is its inline, model-agnostic approach. It governs every AI interaction across public and private models, provides a full audit trail, and enables enterprises to route data securely based on sensitivity, jurisdiction, and policy requirements.
The result is that organizations can scale AI usage with confidence, maintaining productivity while ensuring control, accountability, and compliance.