Databricks and Noma Security Partner to Secure the Enterprise AI Lifecycle
I’m thrilled to announce that Noma Security has entered into a strategic partnership with Databricks to secure the enterprise AI lifecycle. This milestone represents more than just a business relationship—it’s the foundation for a new era of confident, secure AI adoption across enterprise organizations.
As enterprises race to harness the transformative potential of AI, we’ve consistently heard the same challenge: how do you innovate at speed while maintaining the security, governance, and compliance standards that responsible organizations demand? Our partnership with Databricks directly addresses this fundamental tension, enabling organizations to accelerate their AI initiatives without compromising on security.
Real Market Traction Across Critical Verticals
The demand to secure the enterprise AI lifecycle isn’t theoretical—we’re seeing remarkable traction with joint customers across financial services, life sciences, and big tech:
- In financial services, organizations are leveraging our combined platform to deploy AI applications while meeting stringent regulatory requirements. One large insurance company reduced time to production of an AI application from eight months to three months.
- Life sciences organizations are using our integration to accelerate their AI-driven research and clinical applications while maintaining HIPAA compliance and protecting sensitive patient data. One health care provider saved thousands of hours and hundreds of thousands of dollars by automating AI governance and compliance requirements through Noma Security AI inventory, generating an insightful and actionable AIBOM.
- Big tech companies are scaling their AI operations with the confidence that comes from comprehensive security coverage and driving more business with products that have secure AI built in. Ultimately, big tech CISOs are working to protect their end users’ trust, and by association, creating competitive advantage.
As we work together with Databricks at dozens of customer accounts we hear a common refrain that this partnership is building confidence and generating velocity in the development and adoption of AI. These customers now deploy AI applications securely, knowing AI models, data and agents are protected from end-to-end.
These aren’t an isolated success story. They represent a broader shift in how enterprise organizations approach AI security. Rather than viewing security as a barrier to innovation, our joint customers are experiencing security as an enabler of faster, more-confident AI adoption.
Delivering Measurable Business Value
The business value of our partnership extends far beyond risk mitigation. By addressing the security concerns that often create bottlenecks in AI deployment, we’re helping organizations accelerate their time to value from AI investments. For example, a large insurance company we’re working with told me this week they will be able to reduce the time it takes to rollout an enterprise-wide AI platform by 65%. The project velocity gained will mean substantial cost savings and competitive advantage.
Meanwhile, security and governance teams gain the controls they need to reduce risk and lift restrictions, while data and AI teams can move faster—creating a win-win scenario that aligns with AI security frameworks like Databricks AI Secure Framework (DASF), OWASP Top 10 LLM, and MITRE ATLAS, and regulatory requirements contained in the EU AI Act and ISO 42001.
For Databricks customers specifically, our platform helps streamline deployment cycles by satisfying security team requirements that might otherwise block or delay AI initiatives. We’ve already seen this impact with dozens of customers, including a large pharmaceutical that needed the enabling confidence of robust AI security and governance guardrails. A large retailer chose the combination of Databricks and Noma Security for their MLOps strategy specifically because our unified approach to security provides the level of visibility and control that their security teams required before ungating the project.
Comprehensive Security Integrated Across the Entire Databricks AI Lifecycle
Here’s what sets our partnership apart: Noma Security is the only platform that provides this level of comprehensive, native integration with the Databricks AI platform with deep support across the entire AI lifecycle. While other solutions might offer point solutions for specific aspects of AI security, we’re the only vendor that delivers AI asset discovery, AI supply chain security, AI red teaming, and AI runtime security in a unified platform with tight hooks into Databricks AI environments.
And as organizations move toward more sophisticated agentic AI architectures, our platform provides comprehensive coverage from MCP server scanning to runtime monitoring of agent reasoning and actions, ensuring security across the full spectrum of both AI applications and agent deployments.
Let’s get into more detail about Noma Security capabilities:
AI Asset Discovery:
Our platform provides continuous, automated discovery of the entire AI stack within Databricks environments—models, data lineage, notebooks, agents, and toolsets. This creates complete visibility into AI assets and generates a comprehensive AI Bill of Materials (AIBOM) that’s essential for governance and compliance.
AI Infrastructure:
Continuously check infrastructure security posture and detect misconfigurations in network security, excessive permissions, unsupported runtime versions, unrotated tokens, data and encryption issues.
AI Supply Chain Security:
We enable proactive security through multi-layered protection of AI supply chains, scanning open source assets for vulnerabilities and backdoors in Hugging Face models, datasets, MCP servers, notebook code. Comprehensive AI redteaming tests models for prompt attacks, jailbreaks, denial-of-service attempts, and data leakage risks.
AI Redteaming:
Instead of blocking AI initiatives outright, progressive CISOs implement real-time guardrails on models and agents in production. Their cybersecurity teams have the ability to detect and block malicious prompts, rogue outputs, and unauthorized agent actions ensuring AI everywhere remains secure, aligned, and compliant in dynamic, high-risk environments.
AI Runtime Protection: Our real-time monitoring capabilities detect and prevent security and safety risks in production Databricks environments, providing continuous protection for deployed AI systems.
Don’t Blink – We’re Just Getting Started
This partnership represents just the beginning of what’s possible when AI innovation and security work hand in hand. As AI security continues to gain attention across enterprises—and as regulatory frameworks like the EU AI Act continue to evolve—the value of our integrated approach will only increase.
The partnership officially launches just before Databricks’ Data+AI Summit, where we’ll be demonstrating the power of our integration to customers and prospects.
For enterprise organizations looking to accelerate their AI adoption while maintaining the highest security standards, our partnership with Databricks offers a clear path forward. Together, we’re not just securing AI—we’re enabling the confident, responsible innovation that will define the next era of enterprise technology.
The future of AI is secure, governed, and accelerated. With Databricks and Noma Security working together, that future is available today.
I’d love to continue the conversation. We will be at the Databricks Data + AI Summit next week in San Francisco. Request an in-person meeting with the Noma Security team to learn more about enterprise 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 with executives from Databricks and Noma Security.