From open models to open agent harnesses: Databricks brings open code, community frameworks, and a concrete architecture to AI security
by Katie Cummiskey, Maria Pere-Perez, Arun Pamulapati and Nishith Sinha
Databricks is a sponsor at Black Hat USA 2026 this week. Find us at Booths #5106 / #2167, and read how our acquisition of Panther accelerates the Security Lakehouse era.
As AI systems grow more capable and autonomous, two challenges are converging: securing AI systems themselves against new classes of attack, and using AI to strengthen cyber defense. Both require openness because critical security intelligence locked inside a small number of closed systems leaves the broader ecosystem exposed. Databricks supports both mission sides: open frameworks for securing AI systems, and open data via Lakewatch, the Open Security Lakehouse powering agentic threat detection and response at scale.
That's why Databricks is proud to be a founding member of the Open Secure AI Alliance, alongside NVIDIA and other industry leaders. The alliance is built on a simple but powerful premise: AI safety and security research should be shared openly, and the tools it produces should be built on open systems. That work spans AI safety, AI security, and AI-enabled cyber defense, strengthening enterprises, software, and critical systems worldwide. Members are contributing into the open: open models, model weights, open harnesses, open tooling, and the learnings behind them, to accelerate the development of new cybersecurity tools and techniques.
