PUBlished on
September 30, 2025
updated on
November 5, 2025

Obsidian Security Unifies Security Insights for Databricks and Delta Sharing to Accelerate AI

Stephanie Lee

At Obsidian Security, we’re proud to be a launch partner for Databricks’ Data Intelligence for Cybersecurity. This partnership equips security teams with the tools and expertise to strengthen Databricks deployments and confidently accelerate AI adoption on the platform.

Companies race to adopt AI, with Databricks leading the transformation for data intelligence. To boost productivity, organizations use autonomous agents for process optimization, but this rapid adoption also brings identity, integration, and SaaS supply chain risks. Obsidian secures Databricks by safeguarding agents, automating posture hardening, detecting identity threats, and monitoring integrations, so businesses can scale AI without slowing innovation.

Immediate Out-of-the-Box Compliance, Without Slowing Innovation

Obsidian’s solution delivers the granular visibility needed to monitor and protect every user and agent interacting with Databricks, ensuring comprehensive security. By mapping natively to the Databricks AI Security Framework (DASF), Obsidian provides out-of-the-box alignment with governance requirements, reduces audit complexity, and ensures organizations can innovate with confidence, all without compromising compliance.

Databricks’ platform empowers organizations with unmatched flexibility, speed, and scale. But with that power comes a challenge: ensuring security and compliance without slowing innovation. Third-party AI and integration threats, expanding regulatory demands, and the limitations of manual controls make it difficult for enterprises to balance data access with risk management.

That’s where Obsidian comes in. We extend Databricks’ security capabilities with posture management, integration oversight, and threat detection, helping you achieve 360° protection across posture, integrations, and threats.

From Insights to Action: Automating Security Posture with Databricks SAT

Databricks provides strong foundational tools, and Obsidian helps enforce them. Our platform ensures your environment aligns with industry standards and best practices by:

With Obsidian, organizations move beyond point-in-time checks to achieve continuous posture hardening.

Fig.1: Obsidian maps to DASF, ensuring compliance with Databricks’ AI standards out of the box.

Breaking Silos: Unified Security Data and Control in Databricks

The SaaS supply chain comprises the network of applications, vendors, and services an organization uses for daily business operations. One critical part of this network is third-party integrations, which are also a growing source of risk: the recent Salesloft supply chain breach revealed that supply chain breaches are 10x more damaging than traditional credential-based breaches. Connected SaaS apps and AI/LLM vendors can inadvertently expose sensitive data if left unchecked.

Obsidian provides complete visibility and context into Databricks integrations to help you:

On average, customers see an 80% reduction in third-party integration risk with Obsidian.

Fig. 2: See all risks associated with third-party integrations into Databricks.

Continuous Identity Defense for Databricks SaaS App

Identity-based threats remain one of the most common and costly attack vectors. Obsidian continuously monitors user behavior to detect threats early and reduce risk by:

With these capabilities, customers achieve sub-1-hour detection times for identity threats.

Fig 3: Investigate and triage all threat alerts for your Databricks environment, including remediation steps.

Unlock Faster, Safer AI Adoption with Databricks and Obsidian

Databricks provides the scale and intelligence, Obsidian provides the identity, integration, and SaaS security expertise. With the Obsidian Delta Sharing Connector, security teams gain deeper context to accelerate investigations and cut detection and response times from days to hours.

Together, Obsidian and Databricks provide a unified, secure data platform that enables seamless integration and analysis. The joint solution delivers continuous monitoring of posture, integrations, and identity risks, while Obsidian’s Databricks-native workflows eliminate redundant processing to reduce SIEM costs.

With a single, enriched view of identities and activities across SaaS and PaaS applications, security teams can stop chasing fragmented logs and instead focus on protecting data, enabling safe AI adoption, and responding faster when threats emerge.

Learn more at Obsidian’s marketplace listing or book a demo here.

Frequently Asked Questions (FAQs)

How does Obsidian Security enhance Databricks security for AI deployments?

Obsidian Security integrates directly with Databricks to automate security posture hardening, monitor third-party integrations, and detect identity threats in real time. By aligning with the Databricks AI Security Framework (DASF), Obsidian delivers immediate compliance while allowing organizations to innovate with AI at scale without risking security or slowing productivity. ---

What specific risks does Obsidian address in Databricks environments?

Obsidian addresses identity threats, integration risks, and SaaS supply chain vulnerabilities in Databricks environments. The platform provides granular visibility into user and agent interactions, flags overly permissive or misconfigured integrations, detects data flows to risky third parties, and identifies compromised or dormant privileged accounts to reduce the attack surface. ---

How does the Obsidian Delta Sharing Connector accelerate incident response in Databricks?

The Obsidian Delta Sharing Connector provides security teams with deeper contextual insights across Databricks and related SaaS/PaaS applications. This unified visibility enables faster investigation and response, cutting typical threat detection and remediation times from days to hours, and reducing reliance on disparate log data. ---

What compliance frameworks does Obsidian support for Databricks users?

Obsidian maps controls directly to both the Databricks AI Security Framework (DASF) and widely recognized standards such as NIST, as well as custom compliance frameworks. This mapping automates alignment, reduces audit complexity, and streamlines workflows for continuous compliance within Databricks deployments. ---

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