The rapid proliferation of AI agents and specialized software on enterprise endpoints has created a significant new attack surface, making traditional cybersecurity solutions increasingly inadequate. Addressing this critical gap, Tel Aviv-based startup Bloom Security has emerged from stealth today, announcing a $20 million seed funding round to secure the AI-driven enterprise environment.

Bloom Security's platform is designed to inventory and assess the risk of AI agents, managed code platforms (MCP) servers, browser extensions, and code packages across employee endpoints. Unlike conventional security tools that often rely on blanket blocks, Bloom scores risk by context, allowing for more nuanced and effective protection. This approach is crucial as enterprises integrate more AI tools, which can introduce novel vulnerabilities if not properly managed.

The $20 million seed round was co-led by Glilot Capital Partners and Ten Eleven Ventures, with participation from Okta Ventures and Runtime Ventures. Angel investors, including founders from prominent cybersecurity firms like Dig Security, Demisto, Snyk, and Talon, also contributed to the funding, signaling strong industry validation for Bloom's mission. The company, which boasts a 30-person team largely comprising alumni from Dig Security, is already deployed at numerous large enterprises across the US and Europe.

The emergence of Bloom Security highlights a growing recognition within the cybersecurity industry that the shift to AI-powered operations demands specialized defenses. As AI models become more integrated into daily workflows, the potential for misuse or exploitation of these agents escalates. Bloom's focus on granular, context-aware risk assessment for AI-era endpoints positions it as a key player in safeguarding the next generation of enterprise IT infrastructure.