Building Safe Enterprise AI Systems with Databricks & Gencore AI

Databricks provides the foundational infrastructure needed for successful AI adoption. It offers tools that simplify data management and accelerate AI model development, such as:

• Scalable Data Infrastructure – Databricks provides a unified platform for storing, processing, and analyzing vast amounts of structured and unstructured data. Its cloud-native architecture ensures seamless scalability to meet enterprise AI demands.
• End-to-End AI Development – With tools like MLflow for model lifecycle management, Delta Lake for reliable data storage, and Mosaic AI for scalable training, Databricks streamlines AI development from experimentation to deployment.
• Governance & Data Access Management – Databricks’ Unity Catalog enables centralized governance, enforcing secure data access, lineage tracking, and regulatory compliance to ensure AI models operate within a trusted framework.

Reinforcing Security and Compliance

While Databricks provides the AI infrastructure, Securiti’s Gencore AI ensures that AI models operate within a secure and compliant framework. It provides:

• Ease of Building and Operating Safe AI Systems: Gencore AI streamlines data ingestion by connecting to both unstructured and structured data across different systems and applications, while allowing the use of any foundational or custom AI models in Databricks. 
• Embedded Security and Governance in AI Systems: Gencore AI aligns with OWASP Top 10 for LLMs to help embed data security and governance at every important stage of the AI System within Databricks, from data ingestion to AI consumption layers. 
• Complete Provenance Tracking for AI Systems: Gencore AI’s proprietary knowledge graph provides granular contextual insights about data and AI systems within Databricks.
• Compliance with AI Regulations for each AI System: Gencore AI uniquely provides automated compliance checks for each of the AI Systems being operationalized in it.

A Strategic AI Approach

To fully realize AI’s business potential, enterprises need more than just advanced models – they need a secure, scalable, and responsible AI strategy. The partnership between Databricks and Securiti is designed to achieve exactly that. It offers:

• AI at Scale with Enterprise Trust – Databricks delivers an end-to-end AI infrastructure, while Securiti ensures security and compliance at every stage. Together, they create a seamless framework for enterprises to scale AI initiatives with confidence.
• Security-Embedded Innovation – The integration ensures that AI models operate within a robust security framework, reducing risks of bias, data breaches, and regulatory violations. Businesses can focus on innovation without compromising compliance.
• Holistic AI System Governance – This is not just a tech integration—it’s a strategic investment in AI governance and sustainability. As AI regulations evolve, enterprises using Databricks + Securiti will be well-positioned to adapt, ensuring long-term AI success. Effective AI governance requires embedded controls throughout the AI system, with a foundation rooted in understanding enterprise data context and its controls. Securiti’s Data Command Graph delivers this foundation by providing comprehensive contextual insights about data objects and their controls, enabling complete monitoring and governance of the entire enterprise AI system across all interconnected components rather than focusing solely on models.

Thus, the collaboration ensures AI systems are secure, governable, and ethically responsible while enabling enterprises to accelerate AI adoption confidently. Whether scaling AI, managing LLMs, or ensuring compliance, this gives businesses the confidence to innovate responsibly.

By embedding AI security, governance, and trust from day one, businesses can accelerate adoption while maintaining full control over their AI ecosystem. This partnership is not just about deploying AI, but also about building a future-ready AI strategy.

AI is no longer a competitive edge, but a business imperative. However, without the right security and governance in place, enterprises risk exposing sensitive data, violating compliance regulations, and deploying untrustworthy AI systems. 

The partnership between Databricks and Securiti’s Gencore AI provides a blueprint for scalable, secure, and responsible AI adoption. By integrating robust infrastructure with automated compliance controls, businesses can unlock AI’s full potential while ensuring privacy, security, and ethical governance.

Organizations that proactively embed governance into their AI ecosystems will not only mitigate risks but also accelerate innovation with confidence. You can leverage Databricks and Securiti’s Gencore AI solution to build a safe, scalable, and high-performing AI ecosystem that drives business growth.