Bloom Security Emerges From Stealth With $20M Seed to Tackle the New AI Endpoint Risk

Discover AnythingSignupWrite New StoryBloom Security Emerges From Stealth With $20M Seed to Tackle the New AI Endpoint Riskbyruth_hassonbyruth_hasson|@ruth-hassonA tech newsdesk dispatching breaking software, fintech, AI and innovation updates across global publisher network.SubscribeJuly 30th, 2026TLDR Your browser does not support the audio element.Speed1xVoiceDr. One Ms. Hacker byruth_hasson@ruth-hassonbyruth_hasson|@ruth-hassonA tech newsdesk dispatching breaking software, fintech, AI and innovation updates across global publisher network.Subscribebyruth_hasson|@ruth-hassonA tech newsdesk dispatching breaking software, fintech, AI and innovation updates across global publisher network.Subscribe Enterprise security teams have long treated the endpoint as a relatively well-defined security boundary: a laptop, a workstation or another managed device that can be monitored for malware and suspicious activity. The rapid adoption of AI is changing that model, turning employee devices into increasingly complex environments filled with software, agents, extensions and external connections.Bloom Security is betting that this new endpoint requires a different security approach. The Tel Aviv-based company has emerged from stealth with a $20 million seed round led by Glilot Capital Partners and Ten Eleven Ventures (1011vc), with participation from Okta Ventures and Runtime Ventures. Axios first reported about the funding and the company's launch. The company was founded by a team with previous experience building enterprise security products, and it says its platform is already deployed at dozens of large enterprises across the United States and Europe. The Software Layer Security Teams Can't Easily See The challenge Bloom Security is targeting is broader than traditional malware detection. Employees now routinely use AI tools, browser extensions and other software that can connect to systems, access data or interact with other applications. At the same time, browsers, IDEs and AI agents increasingly have their own marketplaces and app stores, creating an expanding software ecosystem on corporate endpoints. "In the AI era, the employee device is no longer just a managed endpoint," said Itay Keren, Co-Founder and CEO of Bloom Security. "Every endpoint is now running software no one reviewed, connecting to services no one provisioned." Bloom argues that these changes create security risks that conventional endpoint detection and response tools were not designed to address. The concern is not necessarily that a piece of software is malicious, but that it may have excessive permissions, be poorly configured or create an unexpected path to sensitive information. A misconfigured AI agent, for example, could introduce risk without behaving like traditional malware. The same can apply to a browser extension with broad data access, a screen recorder installed on an executive's computer or a code library that pulls from an untrusted source. “As AI adoption accelerated, it became clear that existing endpoint controls were not designed for this new reality,” Keren added. “Security teams need a way to understand, govern, and control modern tools without disrupting how employees work.” From Inventory to Active Enforcement Bloom Security's platform is designed to give security teams a broader view of what is operating across their endpoint environments. That includes software, tools, extensions and code, as well as the relationships between those components and the organization's data and systems. The platform also evaluates supply-chain risk, configurations and permissions to assess potential exposure. The company's approach centers on contextual analysis rather than treating every installation or application as carrying the same level of risk. “The same tool can be completely acceptable on one endpoint and high-risk on another,” said Ofir Balassiano, Co-Founder and Chief Product Officer at Bloom Security. “Risk depends on context: the user’s role,