Today, we're announcing an important addition to the Databricks Ventures portfolio: Noma Security, an emerging leader in AI security and governance. This investment is coupled with a new partnership: Noma Security integrates into the Databricks Data Intelligence Platform to provide enhanced security, governance, risk management, and automated security policy enforcement for enterprise AI and AI agents. This collaboration underscores Databricks’ commitment to helping our joint enterprise customers build secure and trusted AI solutions.
As enterprises race to harness the transformative power of AI, concerns about security and governance often slow their progress. Databricks and Noma Security are partnering to address these challenges head-on, enabling organizations to deliver secure AI from initial design through production deployment, and across the entire AI lifecycle from model development to production use of agentic AI.
The Noma Security platform is quick to deploy and designed to help enterprises proactively prepare for emerging AI regulations such as the EU AI Act, and achieve critical certifications like ISO 42001, ensuring compliance in a rapidly evolving landscape.
Noma Security supports comprehensive AI security frameworks, including:
Noma Security integrates seamlessly with Databricks, enabling a comprehensive approach to securing the AI lifecycle. Our joint customers benefit in multiple ways:
AI Discovery and Governance: Noma Security enhances AI governance within the Databricks environment by providing detailed visibility into all AI assets. This includes maintaining a comprehensive inventory of AI models, generating a detailed AI Bill of Materials (AIBOM), and providing enhanced oversight for AI systems. Through better understanding of AI components, organizations can manage risk, ensure compliance, and build confidence in their AI deployments.
Secure AI by Design: Integrating Noma Security with the Databricks Data Intelligence Platform enables the detection of AI risk before runtime, providing customers with proactive AI risk management by identifying potential vulnerabilities early in the development process. This integration streamlines AISecOps workflows, model scanning, AI red teaming, and misconfiguration detection to automate security checks and policy enforcement. With Noma Security and Databricks, security is an integral part of the AI development and deployment pipeline.
AI Runtime Protection: Noma Security delivers AI security risk coverage for Databricks AI to provide joint customers with a comprehensive shield for any AI initiative. AI models are protected against runtime threats, continuously monitored for suspicious behavior, and governed according to regulations and compliance mandates. This end-to-end approach helps accelerate responsible adoption of AI at scale.
Agentic AI Security: As AI evolves toward more complex agentic architectures, the need for robust AI security becomes even more important. Noma Security covers the entire AI lifecycle, from scanning MCP servers to runtime security monitoring of agent reasoning and runtime actions. Our partnership facilitates effective red teaming for AI agents, helping our joint customers proactively identify and address potential weaknesses in agentic AI systems.
We’re excited to announce this investment and partnership with Noma Security. Together, we empower organizations to adopt AI more quickly and confidently by mitigating the security and governance risks that often cause friction.
If you are joining Databricks at the Data + AI Summit next week in San Francisco, request an in-person meeting with the Noma Security team to learn more about AI security and governance.
Can’t attend the Data + AI Summit? Request a demo of Noma Security, or register for this webinar on June 26 to learn how Databricks and Noma Security deliver security for the enterprise AI lifecycle.