Every endpoint is an ecosystem where your employees run dozens of AI agents, MCPs, tools, and extensions with direct access to sensitive datastores. Your security team can see which tools are running. They can tag which data is sensitive. 

Now, with Bloom’s integration with Cyera DSPM, they can connect these signals and enforce data-aware policies at the endpoint in real time.

The Challenge

Traditional endpoint security was built for binaries and executables. AI agents, MCPs, and browser-based AI tools connecting to cloud datastores and SaaS platforms have fundamentally changed what runs on the modern workstation.

Security teams need to govern this new surface effectively. But governing requires understanding both endpoint risk and data risk together in real time.

Bloom & Cyera: Better Together

Bloom’s integration with Cyera DSPM brings endpoint visibility and data context together in real time.

Bloom discovers which AI tools, MCPs, and agents are running on every endpoint and which datastores they attempt to connect to. Cyera labels where sensitive data lives and tags each datastore by sensitivity level and classification.

Bloom enforces this by cross-referencing. If an AI tool tries to connect to a datastore Cyera flagged as Sensitive and above, Bloom blocks it in milliseconds. Your team has full visibility and control: which agent, which user, which device, which datastore, which data type, what business impact.

Real-World Use Cases

The MCP Supply Chain Risk

An employee installs a popular open-source MCP to automate their workflow. It connects to Snowflake to pull analytics data.

With the integration: Bloom detects the MCP. Cyera tags Snowflake as Very Sensitive. Bloom blocks the connection. Your team receives an alert before any data is moved.

The Regulatory Exposure

Your financial services org has HIPAA-regulated healthcare data in one database and PCI-regulated financial records in another. An employee runs an AI agent they think is sandboxed.

With the integration: Bloom detects the connection attempt. Cyera returns the data classification and record count. Bloom blocks it. You alert compliance with clear proof of what was attempted and which data was at risk.

The Business Impact

For security teams, this integration changes enforcement: decisions are now grounded in data sensitivity, so teams can allow legitimate work while blocking risky access. CISOs can now set policies based on data sensitivity, and Bloom enforces them instantly at the endpoint.

Every AI connection is classified by data sensitivity in milliseconds. Every block is logged with full context, giving you irrefutable proof for audits and a clear answer when regulators ask: How do you prevent unauthorized access to sensitive data?

Getting Started

The integration is available now for Bloom and Cyera customers. Setup is as simple as a few clicks: connect your Cyera datastore inventory to Bloom's integrations panel, set your data sensitivity threshold in an AI usage policy, and Bloom begins enforcement across every endpoint. Get started here. 

Ready to See It in Action?

Book a demo to see how Bloom and Cyera work together to bring data-aware AI security to your endpoints.