Bloom Security Adds Cyera DSPM Context to Rank AI Risk by Data Sensitivity

An alert shows an AI agent on an employee’s laptop opening a connection to a datastore. What should the security team do next? The answer depends heavily on what sits inside that datastore, and that is precisely the information Bloom Security now places beside the event through a new integration with Cyera DSPM. According to information shared directly with this writer, the integration pairs Bloom’s endpoint AI visibility and AI usage control with Cyera’s data sensitivity context. Its purpose is practical: helping security teams understand, prioritize, and enforce policies on AI access to sensitive data. Triage With the Data in View Bloom, endpoint security purpose-built for the AI-native endpoint, monitors every AI tool and agent running on endpoints. It shows which ones are installed, who is using them, what they connect to, and whether the activity looks risky. For each event, analysts see the agent, the tool, the user, the device, and the connection target. Cyera, the AI Security Platform, fills in the rest. It knows which datastores contain sensitive data such as PII, PHI, PCI, credentials, and business records, along with the volume of each. Attached to a Bloom event, Cyera supplies the sensitivity level, data type, record count, and regulatory classification of the data involved. For a team working through its queue, that pairing shapes how work gets ordered. Activity can be ranked by the sensitivity of the data at stake. During an investigation, responders can see the data impact of an event as part of the same picture, which keeps attention on the events that matter most. Response Options in Real Time Once a team spots an agent reaching sensitive data, it has a range of responses available in real time. It can block the activity, pause it, investigate it, or remediate it. The integration provides immediate visibility into which AI agents are accessing which sensitive data, so each of those decisions rests on concrete information. That capability carries weight given how much AI now runs on employee laptops. Employees run dozens of AI agents, MCPs, and tools on their machines, and those tools often connect to cloud datastores, SaaS platforms, and databases where sensitive data lives. Bloom sees the activity. Cyera knows which destinations are sensitive. Policies That Hold Everywhere Consistency is the other operational gain. The integration extends Cyera’s data classification into runtime enforcement at the endpoint, letting teams block AI access to sensitive datastores in real time as agents run. In practice, a team can define a single policy, such as blocking agents from accessing data classified as Sensitive and above. Bloom enforces it on every endpoint, every time. The same standard governs every device in the fleet, with no need to configure each machine separately. For security operations, the intended outcome is that risky AI activity is stopped before sensitive data leaves the organization. Teams that rely on Cyera also gain real-time visibility into endpoint threats to their sensitive data. Bloom’s platform supports this workflow with precise control over every AI tool and the software ecosystem that tool brings with it. Each is assessed against asset intelligence and the full context of the endpoint: who is using it, what else is running, and what data it can reach. Bloom prevents risky installations, fixes misconfigurations, and enforces context-aware runtime policies fleet-wide. Cyera’s platform, built for the age of agents, secures data at rest, in motion, and in use, whether humans or AI agents are touching it. Enterprises including Paramount, Chipotle, and Valvoline use Cyera to control exactly what data their AI can reach and to govern what happens next. As of its June 2026 funding round, Cyera was valued at $12 billion and had raised approximately $2.3 billion, with investors including Accel, Blackstone, Cyberstarts, Georgian, Lightspeed, and Sequoia. A View From Bloom’s CEO Itay Keren, CEO and co-founder of Bloom Security, summed up 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.” This article was published as a press release by the author under HackerNoon's Business Blogging program.