Open a typical employee laptop today and it may be running dozens of AI agents, MCPs, and tools at once. Many of them reach well beyond the device, connecting to cloud datastores, SaaS platforms, and databases where an organization keeps its most sensitive information. For security teams, knowing that an agent exists is only part of the picture. The more pressing concern is what that agent can touch.
Bloom Security is addressing that concern through a new integration with Cyera DSPM. The connection pairs Bloom’s endpoint AI visibility and AI usage control with Cyera’s data sensitivity context, so security teams can understand, prioritize, and enforce policies on AI access to sensitive data from one coordinated vantage point.
Two Companies, Two Kinds of Knowledge
Bloom builds endpoint security purpose-built for the AI-native endpoint. Its role is to see everything AI-related on a device. That includes which AI tools and agents are installed, who is using them, what they are connecting to, and whether their behavior looks risky.
Cyera, the AI Security Platform, works from the opposite direction. It knows which datastores contain sensitive data and what kind: PII, PHI, PCI, credentials, and business records. It also knows how much of each category sits in a given location.
Separately, each view is valuable. Joined in real time, they tell a fuller story. When Bloom flags an agent, a tool, a user, a device, and a connection target, Cyera supplies the sensitivity level, data type, record count, and regulatory classification of whatever sits at the other end. Teams can then sort activity by how sensitive the underlying data is, keep their policies consistent, and grasp the data impact of an event while they investigate it.
Rules That Travel With the Data
Visibility is the first half of the integration. Enforcement is the second.
Cyera’s data classification now extends into runtime enforcement at the endpoint. AI access to sensitive datastores can be blocked in real time, while agents are actively running. A security team can write a straightforward rule, such as blocking agents from accessing any data classified as Sensitive and above, and Bloom applies it on every endpoint, every time.
When a situation calls for something other than a hard block, teams have options. They can pause activity, investigate it, or remediate it in real time, backed by immediate insight into which AI agents are reaching which sensitive data. The practical effect is that risky AI activity can be halted before sensitive data leaves the organization.
Cyera customers benefit directly as well. Endpoint threats to their sensitive data now surface in real time.
A Founder’s Long View on Data
For Itay Keren, CEO and co-founder of Bloom Security, the integration connects to work he has pursued throughout his career.
“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.”
Built for Fleets and for Agents
Bloom’s platform reaches well beyond a single integration. It gives security teams precise control over every AI tool and the software ecosystem that tool brings along. Each one is assessed against asset intelligence and against the complete context of its endpoint, meaning who is using it, what else is running alongside it, and what data it can reach. From there, Bloom prevents risky installations, fixes misconfigurations, and enforces context-aware runtime policies fleet-wide.
Cyera brings considerable scale to the pairing. Its platform, built for the age of agents, secures data at rest, in motion, and in use, regardless of whether a human or an AI agent is handling it. Paramount, Chipotle, and Valvoline are among the enterprises using Cyera to control exactly which data their AI can reach and to govern what happens next. The company carries a $9 billion valuation and has drawn more than $1.7 billion in backing from Accel, Blackstone, Cyberstarts, Georgian, Lightspeed, and Sequoia.
Taken together, the two platforms let enforcement decisions on the laptop rest on two things at once: a clear picture of what AI is doing on the device and a precise understanding of the data it is trying to reach.