Introducing Cyera MCP: Build Your Own Data Security Agents to Automate Investigations and Threat Hunting

Key Takeaways

• Cyera MCP allows you to build your own data security agents for faster, more accurate data risk insights.
• Accelerate investigations, threat hunting, and other security workflows by allowing AI agents to access Cyera’s structured intelligence.
• Query risky data stores, sensitive data types, entitlements, access paths, and more through plain language.
• Automate creation of executive reports and dashboards by giving agents direct access to rich, comprehensive data security insights.

Security teams are experimenting with AI assistants in the same way developers and analysts already are. The promise is clear: instead of manual investigations, digging through dashboards, or writing complex queries, ask a question and let the system assemble the answer or take the next step. In practice, that promise breaks down when AI assistants lack direct access to the security intelligence needed to investigate risk or hunt for threats.

Discovery results, classification insights, access analysis, and exposure findings already exist inside security platforms and data warehouses. Yet turning that information into answers or actions still requires navigating dashboards, exporting reports, or writing queries that only specialists know how to build. This becomes a hard blocker when teams try to build agents that can actually support investigations.

Cyera MCP closes that gap.

Cyera MCP is an MCP server that allows AI tools to securely query Cyera’s security intelligence using the Model Context Protocol. By connecting AI clients directly to Cyera’s DataPort environment, security teams can build agents that investigate exposure, follow access paths, and retrieve answers grounded in accurate discovery, classification, and access insights.

Why AI agents need direct access to security intelligence

Security investigations and threat hunting depend on deep understanding of data risk. This understanding requires combining multiple signals: where sensitive data resides, how it is classified, who has access to it, and how widely it is exposed. Analysts routinely move between systems and data points before they can explain what is happening. 

This approach works for experts, but it does not translate to agents. AI assistants can help structure an investigation, but without access to trusted security intelligence, they cannot validate exposure, follow relationships, or support threat hunting workflows. They remain helpers, not operators.

Once agents can query real security data, their role changes. They can retrieve answers directly from the systems that already understand the data environment, surface relevant exposure paths, and support investigations as they unfold. Analysts move faster. Threat hunting becomes more systematic. Automation workflows operate on real signals instead of assumptions.

How Cyera MCP connects AI tools to security intelligence

Cyera MCP provides the interface that makes this possible by implementing the Model Context Protocol, an open standard that allows AI clients to retrieve structured information from external systems. Through this interface, AI assistants and agents can query Cyera’s security intelligence stored in DataPort.

DataPort is a managed Snowflake data warehouse that centralizes your organization’s security data and makes it queryable at scale. It contains discovery results, data classes, access exposure analysis, risk signals, and other data points collected across your environment.

Cyera MCP turns this intelligence into something agents can work with. Instead of extracting insights from dashboards or manual analysis, agents translate natural language questions into queries against Cyera’s dataset. The results return as structured insights that can guide investigations, generate reports, or trigger actions.

In practice, this allows agents to operate on the same data security intelligence that analysts rely on inside the Cyera platform.

Where Cyera MCP fits into real security workflows

Once your agent is connected to Cyera MCP, your workflows change. Instead of treating AI as a separate layer, teams begin using it as part of investigations, threat hunting, reporting, and automation. Some start with simple queries. Others build their own agents that actively support threat hunting or integrate into a broader ecosystem of security tools. In every case, the objective is the same: reduce the distance between a security question, the data that answers it, and the action that follows.

Building agents for automated investigations and threat hunting

Cyera MCP enables a new class of data security agents focused on investigation and threat hunting. These agents can continuously query Cyera’s intelligence to identify risky access patterns, follow exposure paths, and surface anomalies worth investigating.

For example, an agent can flag sensitive datasets with unusually broad access and surface them for review. A threat hunting workflow can identify newly exposed sensitive data tied to recent identity or permission changes. An investigation agent can ask a question like “Who has access to this dataset?” and expand it into a full access map with related exposure signals. Instead of relying on static queries, agents can iteratively explore the data environment and support investigations as they evolve.

Natural language questions on data exposure and risk

Security teams are constantly asked questions about sensitive data exposure. Where critical data lives, how widely it is accessible, and how risk posture is changing. Answering these questions usually requires stitching together reports from multiple systems.

With Cyera MCP, those questions can be asked directly and turned into structured outputs. For example, an analyst might ask: “Which data stores contain our most sensitive classified data?” or “Which identities have access to sensitive financial data across our cloud storage systems?” Their agent retrieves the relevant insights from Cyera’s dataset and returns a clear view of high-risk data stores and entitlements, sensitivity levels, and access paths. Instead of assembling context manually, the investigation starts with a consolidated view grounded in real data.

Supporting privacy workflows and data subject requests

Privacy teams face a different challenge: locating personal data across complex environments. Responding to data subject requests typically requires identifying where personal information appears across databases, SaaS applications, and storage systems. This process can involve multiple queries and manual investigation.

Cyera MCP simplifies the process and enables a faster, more direct approach. For example, using an AI assistant connected to Cyera MCP, a privacy analyst could ask: “Where does data related to this individual appear across our environment?”

The assistant then queries Cyera’s discovery and classification outputs and returns the relevant data locations in seconds. This allows privacy workflows to move faster while relying on the same authoritative data discovery intelligence already maintained in Cyera.

Build security agents that investigate your data

AI assistants are becoming part of security workflows, but their value depends on the context they can access.

Cyera MCP provides the bridge between AI agents and enterprise data security intelligence. By exposing Cyera insights through the Model Context Protocol, it allows teams to build agents that can investigate risk, support threat hunting, and automate security workflows using data they trust.

The intelligence already exists. Cyera MCP makes it accessible and usable in the moments that matter.

To explore this capability further, speak with the Cyera team or request a focused demo of how Cyera MCP enables AI-driven investigations, threat hunting, and additional workflows in practice.

Cyera MCP and Data Security AI Agents FAQ’s

Q.) What is an MCP server?
A.) An MCP server implements the Model Context Protocol, an open standard that allows AI tools to connect to external systems and retrieve structured data.

Q.) What does Cyera MCP do?
A.) Cyera MCP allows AI assistants and agents to query Cyera’s security intelligence using natural language.

Q.) Which AI tools can connect to Cyera MCP?
A.) Any MCP-compatible AI client can connect, including Claude, Cursor IDE, Microsoft Copilot, ChatGPT, custom agents, and more.

Q.) What data can AI agents access through Cyera MCP?
A.) Agents can retrieve insights about data discovery, classification, access exposure, and risk findings stored in Cyera’s DataPort environment. DataPort is a managed Snowflake instance per customer that stores Cyera’s data security findings in a structured, queryable format.

Q.) How does Cyera MCP support automated security workflows?
A.) Agents can query Cyera security intelligence programmatically, enabling automated investigations, threat hunting, reporting, remediation actions, and governance workflows.