Data security teams have greater visibility into sensitive data and risk than ever before. But turning those insights into action can still require significant manual effort.
Palo Alto Networks is introducing the Data Security MCP Server, extending enterprise DLP into the broader AI ecosystem. By connecting Data Security with MCP-compatible AI agents through a locally deployed integration, teams can bring security intelligence into the AI environments they already use, streamline DLP operations, and maintain control over how the integration is deployed and accessed.
Bring data security into your AI workflows
Security teams have traditionally interacted with DLP through a dedicated management console. While essential for centralized administration and control, it no longer needs to be the only way teams manage their data security and day to day operations.
The Data Security MCP Server connects Palo Alto Networks Data Security to MCP-compatible AI agents through existing public APIs. Security teams can bring data security intelligence into supported AI environments, including Claude Code, Cursor, and other MCP-compatible agent hosts to build a single unified view.
This gives organizations the flexibility to work in the tools that fit their workflows while tapping into the broader AI ecosystem. Unlike a vendor-hosted AI integration, the Data Security MCP Server runs locally within the customer's environment, allowing organizations to maintain control over deployment, credentials, and access to security data. Teams can connect their preferred MCP-compatible AI agents while operating within their existing security architecture and governance requirements.
Move from data to decision Seamlessly
The Data Security MCP Server also helps reduce manual work across the DLP lifecycle, making it easier for teams to turn security data into action:
- Accelerate exposure discovery. Identify sensitive data movement across applications and channels, surface emerging risks, and uncover areas without active policy coverage.
- Improve classification accuracy. Validate patterns and data profiles against historical incidents before deployment to identify false positives and potential coverage gaps.
- Prioritize meaningful risk. Analyze incidents, surface cases requiring attention, and bring together the evidence and context teams need to investigate and act.
Key use cases include:
- Risk Assessment: Identify sensitive data exposure, risky applications, and gaps in policy coverage.
- Policy Configuration: Draft and validate data protection policies based on business requirements.
- Incident Investigation: Analyze incidents across channels, correlate evidence, and identify root causes.
- Policy Optimization: Investigate false positives and make adjustments to improve detection accuracy.
- Compliance Auditing: Assess policy coverage against regulatory requirements and identify compliance gaps.
- Reporting: Generate incident trends and security reports.
See the Data Security MCP Server in action in the demo below.
In the demo, the analyst asks the AI agent to "triage 90 days of incidents into clusters, and tell me what's a real leak and what's noise." Behind the scenes, the assistant retrieves DLP incident data and groups related activity by user, file, data profile, destination, and timing. It then examines available evidence, detection rules, and historical reviews to distinguish potential data leaks from likely false positives. For example, sensitive files uploaded to a personal cloud account within a short time may signal a genuine risk, while repeated alerts from an approved business workflow may simply be noise. The assistant explains its findings, helping analysts focus on what matters most.
Instead of navigating multiple views, running manual queries, or maintaining scripts and reports, teams can use natural language to access and analyze the security data they need. This helps to reduce operational overhead and enables faster, better-informed security decisions.
Put your data security intelligence to work
The Data Security MCP Server brings greater flexibility to how organizations operate enterprise DLP. It extends Data Security into the AI workflows teams already use, connects them to a broader ecosystem of AI innovation, and makes it easier to turn security intelligence into action.
For security leaders, that means less operational friction, better-informed risk decisions, and more value from existing data security investments.
The Palo Alto Networks Data Security MCP Server is now generally available to our customers. Talk to your account team or connect with a data security expert for a demo to learn more.