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PointGuard AI is a Validated Technology Partner of Databricks, providing deep integration that significantly enhances the security and governance of AI projects. As a leading AI development platform, Databricks accelerates AI development by integrating scalable data processing, collaborative tools, and pre-built machine learning models.

Artificial intelligence (AI) has become the engine of innovation for enterprises, powering new business models, customer experiences, and operational efficiencies. Platforms like Databricks provide the foundation for this transformation, enabling organizations to unify data, accelerate model development, and operationalize AI at scale. Yet with this rapid innovation comes heightened security and governance risks. Traditional security approaches cannot keep pace with the decentralized, fast-moving nature of AI projects—leaving critical gaps in visibility, compliance, and control.

The PointGuard AI solution for Databricks bridges this gap. Together, PointGuard and Databricks deliver an integrated solution that embeds AI security and governance directly into the platforms where data scientists, developers, and business teams work. This allows enterprises to innovate with speed and confidence while maintaining compliance and protecting sensitive data.

The Growing Security Challenge in AI Environments

As organizations expand AI adoption, they encounter four major risks:

• Limited visibility into AI projects and supply chains – Without centralized oversight, projects may run in silos, often relying on unvetted open-source components.
• An expanded attack surface – New threats such as model poisoning, prompt injection, and jailbreaks target AI systems in ways that traditional security tools cannot address.
• Sensitive data exposure – Weak access controls and misconfigurations put regulated or proprietary data at risk.
• Delayed remediation – Manual, disconnected processes slow response to issues and complicate audit readiness.

These challenges are amplified in complex environments like Databricks, where large-scale data pipelines, models, and agents evolve rapidly across distributed teams. Addressing them requires security that is as dynamic and scalable as the innovation itself.

PointGuard AI for Databricks: Comprehensive Security

PointGuard AI integrates seamlessly into the Databricks MLOps environment, covering the entire AI lifecycle with four core modules:

• AI Discovery – Creates a real-time inventory of models, datasets, notebooks, and pipelines, ensuring visibility and governance across projects.
• AI Security Posture Hardening – Detects misconfigurations, enforces access controls, and automates remediation to prevent unauthorized exposure.
• Automated Red Teaming – Continuously probes for vulnerabilities such as data leaks, prompt injection, and model poisoning before they can be exploited.
• AI Runtime Defense – Provides inline monitoring and anomaly detection to prevent sensitive data exfiltration and misuse in production environments.

All findings map directly to the Databricks AI Security Framework (DASF) 2.0, which includes over 60 controls tailored for AI risks. This ensures enterprises can align security and governance efforts with recognized standards while automating compliance reporting.

Real-World Impact: A Global Fintech Leader

➡️ Read the Finastra Case Study

One of the world’s largest fintech providers, serving over 2,000 financial institutions globally, illustrates the power of PointGuard’s Databricks integration. Facing rapid growth in AI initiatives across lending, treasury, payments, and retail banking, the company needed centralized oversight to manage security and compliance in a highly regulated industry.

Challenges included:

• Fragmented visibility across Databricks environments and AI services.
• Risks from open-source model use and third-party components.
• Manual reporting and governance processes slowing audits.
• Unclear project ownership and supply chain dependencies.

By deploying PointGuard AI tightly integrated with Databricks, the organization:

• Established enterprise-wide AI discovery and governance, replacing ad-hoc spreadsheets with real-time inventories mapped to owners and use cases.
• Achieved 90% noise reduction through risk-based prioritization and deduplication, accelerating resolution of the most critical issues.
• Embedded continuous automated Red Teaming directly into Databricks workflows, proactively testing against prompt injection, exfiltration, and jailbreak attempts.
• Streamlined audit readiness, cutting preparation time for compliance teams by automating AI impact assessments and lineage tracking.

The result: accelerated secure AI adoption across more than 50 business units, stronger regulatory alignment, and faster time-to-value.

Joint Value of PointGuard + Databricks

The partnership between PointGuard AI and Databricks ensures security is not a bolt-on—it is woven into the fabric of the AI lifecycle. Together, they deliver:

• Deep platform alignment – PointGuard’s integration ensures controls, guardrails, and monitoring run natively inside Databricks environments, reducing friction for data scientists and developers.
• Enterprise-grade visibility – A single system of record for AI models, pipelines, data flows, and agents gives executives, risk managers, and auditors consistent oversight.
• Automated governance – Policy controls, approval workflows, and exportable audit trails replace scattered manual processes, enabling continuous compliance.
• Proven business outcomes – By cutting remediation backlogs, streamlining SLA performance, and reducing manual reporting burdens, enterprises scale AI adoption without scaling risk.

Secure Your Path to AI Adoption

Innovation cannot come at the expense of security. The PointGuard AI and Databricks solution empowers enterprises to accelerate adoption of generative AI, machine learning, and agentic systems with the confidence that their data, models, and users remain protected.

By embedding security and governance directly into Databricks, organizations eliminate bottlenecks, reduce risk, and achieve compliance without slowing innovation. The result is an AI program that is not only faster and smarter, but also safer and more sustainable.

➡️ Download the Solution Brief

➡️ Read the Finastra Case Study