Governance, Risk and Compliance, Security Management, AI/ML, Data Security

Databricks and Noma Security Partner to Deliver Enterprise-Grade AI Security and Governance at Scale

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Databricks and Noma Security have announced a strategic partnership designed to bring integrated AI security and governance to the forefront of enterprise operations. As AI adoption scales across industries, the partnership addresses a critical need: enabling rapid innovation while ensuring security, compliance, and operational integrity across the AI lifecycle.

The partnership embeds Noma Security’s unified AI security and governance platform directly within the Databricks Data Intelligence Platform. This integration enables organizations to secure AI systems throughout the entire lifecycle, starting from model development, continuing through training and deployment, and extending into runtime operations. By doing so, enterprises can better manage risk, ensure compliance, and enforce policies without slowing down their pace of innovation.

Noma Security brings a multi-layered approach to securing AI environments. The platform offers discovery and governance tools to create a complete inventory of AI assets and generate an AI bill of materials (AI-BoM). These capabilities help CISOs and security teams gain full visibility into where and how AI is used across the enterprise.

Security controls are applied proactively through supply chain scanning, infrastructure audits, and automated policy enforcement. This includes identifying vulnerabilities early in the development process and simulating adversarial scenarios with AI red teaming. During production, the platform offers runtime protections against evolving threats such as prompt injection, model abuse, and sensitive data leakage.

Another area of emphasis is the growing use of AI agents, multi-component systems capable of autonomous decision-making. The joint solution includes capabilities for securing these complex agent architectures, including monitoring multi-component pipelines (MCPs) and scanning orchestration layers to ensure they operate within trusted parameters.

The partnership also supports alignment with leading AI security frameworks, including the OWASP Top 10 for LLMs, MITRE ATLAS, and the Databricks AI Security Framework (DASF 2.0). These integrations make it easier for enterprises to prepare for upcoming regulations like the EU AI Act and pursue certifications such as ISO 42001, giving security and compliance teams a practical roadmap for operationalizing AI risk management.

For Databricks, this partnership builds on its broader strategy of enabling secure and scalable AI across the enterprise. Noma Security, fresh off a $32M Series A funding round and backed by Databricks Ventures, positions itself as a key player in the emerging AI Trust, Risk, and Security Management (AI TRiSM) space.


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Suparna Chawla Bhasin

Suparna serves as Senior Managing Editor for CyberRisk Alliance’s Channel Brands, including MSSP Alert and ChannelE2E.  She plays a key role in content development, optimizing editorial workflows, aligning storytelling with audience needs, and collaborating across teams to deliver timely, high-impact content. Her background spans technology, media, and education, and she brings a unique blend of strategic thinking, creativity, and executional excellence to every project.

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