What happened
Bay a cybersecurity company developing a platform to prevent potentially dangerous actions by AI agents within organizations has emerged from stealth with $50 million in funding raised within nine months of its founding The financing includes a $37 million Series A led by Battery Ventures with participation from Micron Ventures M12 Microsoft's venture fund and Assaf Rappaport CEO of Wiz Micron is also a customer of the company The round follows a previously undisclosed $13 million Seed investment led by YL Ventures and Striker The company's private investors also include Jeetu Patel CPO of Cisco and Manoj Apte former chief strategy officer at Zscaler
Bay was founded in early 2026 by Yuval Zacharia its CEO Aner Morag its chief product officer and Boris Danilovich its VP of R&D The founders say the idea for the company emerged after one of their coding agents attempted to expose a cloud environment to the internet while trying to complete a test The agent had not been compromised and was using legitimate permissions to pursue an assigned task but its actions could have created a serious security risk Zacharia began her career in Israeli intelligence serving in Unit 8200 where she led a department of approximately 50 people She subsequently became the first intelligence officer to transition into offensive cybersecurity and was assigned to one of the unit's most elite departments After her military service she served as director of research and AI at Hunters where she led the development of the company's AI capabilities Morag moved from intelligence roles into offensive cyber operations within Unit 8200 and joined Noname Security among its earliest employees eventually rising to VP of Product Danilovich was among the first employees at Preempt Security which was acquired by CrowdStrike He later led a department of approximately 90 engineers at CrowdStrike working on a key component of its endpoint security platform and serving as a senior leader at the company's Israeli R&D center
Source details: calcalistech.com
Why it matters
The platform identifies AI agents operating within an organization and evaluates their proposed actions in the context of the full agent session taking into account both the task they have been assigned and their previous activity This allows it to distinguish between actions that may appear identical in isolation but carry different levels of risk depending on the agent's purpose and what it has done before Within milliseconds the system decides locally whether to allow an action block it or send it for human approval according to the organization's security policies
The platform is designed to facilitate work with autonomous agents and monitor them wherever they operate it is not merely a point solution If an agent is about to take an action that constitutes a violation the system intervenes to stop it There are a great many agents performing actions that are either malicious or questionable Often this isn't because a 'villainous' hacker has launched an attack rather many of these agents are simply striving to fulfill their assigned tasks but in the process they make mistakes creating security issues that aren't always easy to resolve During my military service there was a strong emphasis on 'capability' the idea that anything is possible Similarly AI agents will do whatever it takes to successfully complete a task even if the cost to the organization is significant
Interactive Mechanism: How It Actually Works
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What to watch next
The company plans to expand its product and engineering teams while growing its sales marketing and customer teams in the United States and Europe Zacharia also intends to relocate to the United States
The company says it serves dozens of enterprise customers worldwide in sectors including finance insurance technology manufacturing and media Its customers include Wix ClickUp Micron and Peloton The company says some of its Fortune 100 customers have tripled their use of autonomous AI agents while maintaining their security standards The platform can be deployed in less than five minutes using an organization's existing management and security infrastructure without requiring an additional persistent endpoint agent kernel driver or network proxy It supports AI assistants coding agents and custom-built agents as well as the MCP servers and tools they use