Today, Databricks announced Data Intelligence for Cybersecurity—a new offering designed to unify, govern, and activate all security data with the scale of the lakehouse and the power of AI. This initiative comes at a critical moment: cyberattacks are growing in both volume and sophistication, and traditional security architectures are struggling under the weight of fragmented data, alert overload, and outdated processes.

PointGuard AI is proud to be part of this launch, bringing its expertise in securing AI applications and agents directly into the Databricks ecosystem. Together, PointGuard AI and Databricks provide enterprises with a modern, data-driven foundation for cyber resilience—one that addresses not just today’s threats, but also the unique security challenges introduced by AI itself.

Why Cybersecurity Needs Data Intelligence

Security has always been a data problem. Today’s enterprises generate an enormous amount of telemetry across cloud, SaaS, endpoints, and applications. Yet this data is often siloed, inconsistent, and difficult to correlate at scale. The result? Blind spots, delayed investigations, and costly inefficiencies.

Databricks is changing this with Data Intelligence for Cybersecurity, built around three pillars:

1. Unified Security Data Foundation – Aggregating, governing, and activating data across every environment.
2. Self-Service Security Insights – Empowering both analysts and executives with AI-powered search and dashboards.
3. Efficient Security Operations – Harnessing AI agents to triage, enrich, and respond to threats in real time.

By combining the openness of the lakehouse with advanced AI, Databricks provides the composable, governed data platform that security leaders have long needed.

PointGuard AI’s Role in the Ecosystem

As AI becomes embedded in every enterprise function, securing these applications has become a first-order priority. Threats such as model poisoning, prompt injection, and data exfiltration are unique to AI systems and require specialized defenses. PointGuard AI, a Databricks Validated Technology Partner, extends Data Intelligence for Cybersecurity with advanced capabilities purpose-built for AI security.

PointGuard AI integrates natively with Databricks to deliver:

• AI Discovery and Visibility: Continuous inventory of models, datasets, pipelines, and agents running in Databricks, giving teams real-time insight into their AI footprint.
• AI Security Posture Hardening: Automated detection of misconfigurations, excessive permissions, and weak access controls, aligned with Databricks AI Security Framework (DASF 2.0).
• Automated Red Teaming: Continuous adversarial testing against AI applications and endpoints to expose vulnerabilities like jailbreaks or malicious prompts before attackers do.
• Runtime Defense: Inline monitoring that detects anomalies and prevents sensitive data leakage from AI applications in production.
• Agentic Security: Protects autonomous agents and MCP at every state to prevent large scale unintended consequences. 

Together, these capabilities ensure that as customers adopt Data Intelligence for Cybersecurity, their AI assets are governed and protected with the same rigor as their broader security and IT environments.

Customer Impact: Accelerating Secure AI Adoption

The importance of PointGuard AI’s inclusion is clear when looking at organizations like Finastra, a global fintech leader. As Finastra expanded AI initiatives across lending, payments, and retail banking, they faced decentralized growth, supply chain risks, and complex compliance requirements. With PointGuard AI embedded in Databricks, the company unified visibility across more than 50 business units, reduced alert noise by 90%, and streamlined audit preparation with automated impact assessments.

This real-world example highlights why Data Intelligence for Cybersecurity is more than a vision—it’s an operational advantage. By combining Databricks’ unified data platform with PointGuard AI’s specialized protection for AI systems, enterprises can adopt AI securely and at scale, even in highly regulated industries.

Why This Matters for Security Leaders

For CISOs and security teams, the inclusion of PointGuard AI in Databricks’ cybersecurity offering means:

• End-to-End Coverage – Unified data intelligence for traditional security telemetry plus dedicated protection for AI workloads.
• Regulatory Alignment – Mapping to DASF 2.0, OWASP Top 10 for LLMs, and evolving global AI regulations.
• Operational Efficiency – Automated workflows that cut manual overhead in compliance, reporting, and remediation.
• Future-Proofing – Resilience against emerging AI-native threats that legacy tools cannot address.

In short, enterprises gain confidence that their adoption of generative AI, machine learning, and agentic systems won’t create unmanageable risk.

Looking Ahead

The launch of Data Intelligence for Cybersecurity marks a turning point for the industry. Security can no longer be constrained by siloed tools and reactive processes—it must be data-driven, AI-powered, and deeply integrated into the platforms where modern work happens.

By joining this ecosystem, PointGuard AI ensures that organizations not only unify and activate their security data with Databricks but also secure the AI applications and agents driving their next wave of innovation.

Together, Databricks and PointGuard AI give enterprises a new path forward: a security architecture that is open, intelligent, and resilient—ready to meet the challenges of both today and tomorrow.