Bloom Security has introduced an integration with Cyera DSPM that joins endpoint AI visibility and AI usage control with data sensitivity context. The pairing helps security teams understand, prioritize, and enforce policies on how AI tools and agents access sensitive data across the organization.
Bloom delivers endpoint security purpose-built for the AI-native endpoint, while Cyera operates the AI Security Platform. By connecting Bloom’s real-time insight into AI activity on employee devices with Cyera’s understanding of where sensitive data resides and how it is classified, the integration gives security teams a data-informed view of AI behavior at the device level.
Two Sources of Context, One Decision
Bloom tracks every AI tool and agent running on an endpoint. It identifies which ones are installed, who is using them, what they are connecting to, and whether the activity appears risky.
Cyera answers a different question. It identifies which datastores hold sensitive information, including PII, PHI, PCI data, credentials, and business records, along with the volume of each.
Within the integration, Bloom contributes the endpoint details of an event: the agent, the tool, the user, the device, and the connection target. Cyera adds the data side: sensitivity level, data type, record count, and regulatory classification. Combined in real time, these signals allow security teams to rank activity by data sensitivity, apply policies consistently, and gauge data impact when investigating an event.
From Classification to Runtime Enforcement
The integration carries Cyera’s data classification into runtime enforcement on the endpoint. Security teams can now block AI access to sensitive datastores in real time while agents are running.
A team might set a policy that prevents agents from reaching any data classified as Sensitive or higher. Bloom then enforces that rule on every endpoint, every time. Beyond blocking, teams gain immediate visibility into which AI agents are accessing which sensitive data, along with the ability to pause, investigate, or remediate activity as it happens.
The outcome is that risky AI activity can be stopped before sensitive data leaves the organization. For Cyera customers, endpoint threats to their sensitive data become visible in real time.
The Laptop as an AI Hub
Employees now run dozens of AI agents, MCPs, and tools directly on their laptops. Many of these connect to cloud datastores, SaaS platforms, and databases that contain sensitive information. With Bloom monitoring endpoint AI activity and Cyera identifying which datastores are sensitive, enforcement decisions draw on both endpoint visibility and data context.
Bloom’s broader platform gives security teams precise control over every AI tool and the software ecosystem that accompanies it. Each tool is assessed against asset intelligence and the full context of the endpoint, including who is using it, what else is running, and what data it can reach. The platform prevents risky installations, fixes misconfigurations, and enforces context-aware runtime policies across the entire fleet. The Cyera integration adds data sensitivity to that existing context, so the same fleet-wide controls can now account for the classification of the data an AI tool is trying to reach.
Keren on the Integration
Itay Keren, CEO and co-founder of Bloom Security, framed the integration around a long-standing focus on protecting data.
“Data security has always been close to my heart, having spent a large part of my career building in this space. The challenge now is that AI agents are running on endpoints with direct access to sensitive data, and traditional endpoint security simply can’t see which agents are touching which data. Bloom monitors endpoint AI activity. Cyera knows what data is sensitive. Together, we’ve brought together endpoint visibility with data context: real-time enforcement grounded in data sensitivity.”
Scale Behind the Data Layer
Cyera’s AI Security Platform is built for the age of agents. Enterprises including Paramount, Chipotle, and Valvoline use it to control exactly what data their AI can reach and to govern what happens afterward. The platform secures data at rest, in motion, and in use, whether that data is handled by people or by AI agents.
The company is valued at $9 billion and has raised more than $1.7 billion from Accel, Blackstone, Cyberstarts, Georgian, Lightspeed, and Sequoia. Through the Bloom integration, its classification now reaches into runtime decisions on the devices where employees and their AI agents work every day.
John Kevin Hao is a news and feature writer covering cybersecurity, technology, and business targeted for professional audiences.