The new integration between Bloom Security and Cyera DSPM rests on a clear division of labor. One platform watches what AI is doing on employee devices. The other knows what data is worth protecting. Connected, they give security teams a way to understand, prioritize, and enforce policies governing AI access to sensitive data, with decisions made in real time at the endpoint.
Here is a closer look at how the pieces fit together.
Layer One: AI Activity on the Device
Bloom is endpoint security purpose-built for the AI-native endpoint. Its monitoring covers every AI tool and agent running on a device, capturing which ones are installed, who uses them, what they connect to, and whether the activity looks risky.
For any given event, Bloom surfaces five data points:
- The agent
- The tool
- The user
- The device
- The connection target
The connection target is where the integration begins to matter most. Employees run dozens of AI agents, MCPs, and tools on their laptops, and those tools frequently connect to cloud datastores, SaaS platforms, and databases that hold sensitive data.
Layer Two: What the Data Actually Is
Cyera, the AI Security Platform, maps which datastores contain sensitive information. Its classification spans PII, PHI, PCI, credentials, and business records, and it tracks the volume of each.
When Bloom reports a connection target, Cyera contributes four attributes about the data behind it:
- Sensitivity level
- Data type
- Record count
- Regulatory classification
Where the Layers Meet
Joined in real time, the two layers produce three capabilities. The first is prioritization by data sensitivity, so the most consequential AI activity rises to the top. The second is consistent policy enforcement across endpoints. The third is a clear understanding of data impact during investigations, so responders know exactly what was at stake in a given event.
The integration also gives teams immediate visibility into which AI agents are accessing which sensitive data. From there, they can block, pause, investigate, or remediate in real time.
How a Policy Plays Out
The most significant technical step is that Cyera’s data classification now extends into runtime enforcement at the endpoint. Classification labels become enforceable conditions on live agent behavior.
Consider a policy that blocks agents from accessing any data classified as Sensitive and above. Once a team sets it, Bloom enforces that rule on every endpoint, every time. Because enforcement happens as agents run, AI access to sensitive datastores is stopped in the moment it occurs.
The result is that risky AI activity stops before sensitive data leaves the organization. On the Cyera side, customers gain real-time insight into endpoint threats to their sensitive data.
The Broader Bloom Architecture
The Cyera integration plugs into a platform designed for precise control over every AI tool and the software ecosystem that comes with it. Bloom assesses each tool 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 fleet-wide.
Itay Keren, Bloom Security’s CEO and co-founder, described the thinking behind the integration:
“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.”
Cyera’s Data Foundation
Cyera’s platform is built for the age of agents and secures data at rest, in motion, and in use, whether humans or AI agents are interacting with it. Enterprises such as Paramount, Chipotle, and Valvoline rely on Cyera to control exactly what data their AI can reach and to govern what happens next. The company is valued at $9 billion and backed by more than $1.7 billion from Accel, Blackstone, Cyberstarts, Georgian, Lightspeed, and Sequoia.
Through Bloom, that data foundation now informs decisions made at the point where AI agents actually execute: the employee endpoint.
