Protect AI Recognized as a Validated Partner of Databricks to Provide Advanced AI Security for Enterprises Worldwide

Protect AI, a leading artificial intelligence (AI) and machine learning (ML) security company, announced it has been recognized as a Validated Partner of Databricks, the data and AI company—enabling integration between Protect AI’s suite of products and Databricks endpoints.

The partnership provides joint customers with the ability to seamlessly utilize Protect AI’s advanced AI security solutions to enable AI innovation safely and securely.

Protect AI is one of the first vendors to integrate its products with the Databricks AI Security Framework (DASF), a comprehensive approach to managing AI security risks and ensuring robust governance, compliance, and data protection.

This prestigious status acknowledges Protect AI’s expertise and proven capabilities in delivering end-to-end security for AI systems, allowing Databricks customers to continue to innovate and deliver cutting edge AI experiences with confidence.

“We are proud to become a Databricks Validated Partner, which exemplifies our shared commitment to fostering trust and security in AI by aligning with industry-recognized frameworks such as DASF, NIST, and others,” said Ian Swanson, CEO, Protect AI. “Integrating our enterprise ready AI security products with Databricks enables organizations to better understand AI security risks and address them so they can innovate safely.”

Protect AI’s integration with Databricks and alignment with the DASF framework marks a significant step forward in operationalizing AI security for enterprises, ensuring innovation is matched with robust risk management practices, according to the company.

Protect AI’s comprehensive suite of AI security products help customers implement DASF controls across seven distinct risk subcategories, ensuring comprehensive AI security coverage from development to deployment.

Protect AI’s AI security platform includes a suite of products that offer comprehensive security capabilities for AI build and deployment processes.

These include:

• Guardian, which scans internally built ML models and externally acquired models for threats
• Layer, which is a dedicated GenAI security tool designed for LLM runtime security and monitoring
• Recon, an automated red teaming tool for GenAI systems that helps customers identify vulnerabilities, ensure safer model selection, and continuously improve the security of their LLM based applications
• Radar, providing AI/ML bill of materials with a robust policy engine

Databricks customers can now leverage Recon to rapidly red team AI Applications through a direct integration that makes it easier than ever for Databricks users to stay ahead of emerging real-world threats with a click of a button, according to the companies.

“Our partnership with Protect AI isn't just about faster AI adoption - it's about giving customers the confidence to deliver cutting-edge AI experiences without compromising security,” said Jesse Scott, global head of cybersecurity, Databricks. “Together with Protect AI, our customers can implement advanced security measures aligned to the DASF to enable safe and scalable AI innovation.”

For more information about this news, visit https://protectai.com.