A woman-led cybersecurity startup emerges from stealth

As businesses race to adopt autonomous AI agents, an Israeli cybersecurity startup is attracting significant investment by addressing a critical question: How can companies give AI systems greater independence without losing control?

On November 10, 2026, Bay announced $50 million in total funding, emerging from stealth less than a year after its founding.

The company is led by co-founder and CEO Yuval Zacharia, whose background includes Israeli military intelligence, offensive cybersecurity and AI research.

The funding includes a $37 million Series A led by Battery Ventures, following an earlier $13 million seed round led by YL Ventures and Striker.

Additional investors include Micron Ventures, while individual backers include Wiz CEO Assaf Rappaport and other cybersecurity executives. ynetglobal+2

Meet Yuval Zacharia, Bay’s co-founder and CEO

Zacharia’s career spans intelligence, cybersecurity and artificial intelligence.

Before co-founding Bay, she served in Israel’s Unit 8200, where she managed an intelligence department of approximately 50 people.

She subsequently developed expertise in offensive cybersecurity.

After her military service, Zacharia joined cybersecurity company Hunters, eventually becoming its head of research and AI.

In that role, she led work involving artificial intelligence capabilities for cybersecurity products.

Her transition from technical research leadership into entrepreneurship reflects a growing opportunity for women with specialized expertise to build businesses addressing emerging technology challenges.

At Bay, Zacharia works alongside co-founders Aner Morag, the company’s Chief Product Officer, and Boris Danilovich, its Chief Research and Development Officer.

The founders bring experience from companies including Noname Security, Preempt Security and CrowdStrike.

Why autonomous AI agents create new security risks

AI assistants traditionally respond to requests by generating information or recommendations.

Autonomous AI agents can go further.

Depending on their permissions and configuration, they may interact with applications, access company information, write code or initiate actions across connected systems.

That creates operational possibilities, but it also introduces risks.

An AI agent could potentially expose confidential information, modify records incorrectly or perform an action outside its intended scope.

Traditional cybersecurity systems may identify suspicious activity after it occurs, but companies increasingly need controls that can evaluate an agent’s intended actions before execution.

Bay is developing its platform around that challenge.

How Bay’s AI security platform works

According to the company, Bay’s technology discovers AI agents operating across an organization and evaluates their activities in real time.

Its platform considers the agent’s assigned task, previous actions and the organization’s security policies.

The system can then allow an action, block it or refer it for human approval.

Bay says these decisions can occur within milliseconds.

The company also offers Lighthouse AI, a capability designed to analyze previous agent activity and recommend security policies.

Security teams can test proposed rules against historical activity to assess how those rules might affect operations.

The goal is to provide consistent oversight without requiring organizations to create entirely separate security systems for every new AI tool.

These capabilities are described by Bay and have not been independently validated across all enterprise environments.

Customers include Wix, Micron and Peloton

Bay says it already works with dozens of organizations across industries including technology, finance, insurance and media.

Named customers include Wix, ClickUp, Micron and Peloton.

The company reports that some Fortune 100 customers have tripled their use of autonomous AI agents while maintaining existing security policies.

That is a company-reported outcome and should not be interpreted as an independently established result for all customers.

Nevertheless, early enterprise adoption suggests that organizations are actively seeking ways to manage AI systems that perform increasingly complex tasks.

Why investors are backing AI security

Bay’s financing reflects a growing investment category within cybersecurity.

As AI agents become more integrated into business operations, organizations may need new approaches to permissions, identity, monitoring and policy enforcement.

The opportunity extends beyond traditional cybersecurity tools.

Companies must also determine how to integrate AI oversight into governance, compliance, workforce training and operational decision-making.

Investors are betting that the businesses capable of providing those controls will become important infrastructure providers as enterprise AI adoption grows.

Bay’s $50 million funding announcement represents total capital raised across its seed and Series A rounds, not a single $50 million Series A.

What this means for women in STEM

Zacharia’s leadership makes Bay particularly relevant to conversations about women in cybersecurity and emerging technology.

Her career demonstrates a pathway from technical and intelligence roles into AI research leadership and company formation.

The business also operates in a field where demand for specialized skills is evolving rapidly.

Relevant career areas include cybersecurity research, software engineering, AI security, product management, cloud infrastructure, enterprise sales and security operations.

Bay reportedly employs approximately 35 people, primarily in Israel.

The company plans to expand product and engineering teams, alongside sales, marketing and customer operations in the United States and Europe.

Those are announced expansion intentions, not confirmation of specific currently available jobs.

What’s next for Bay?

Bay plans to use its funding to strengthen its technology and expand internationally.

The company will need to demonstrate that its security controls can operate reliably across different AI systems and enterprise environments.

Its long-term success will depend on product performance, customer adoption and its ability to adapt as autonomous AI technology evolves.

For Zacharia and her team, the opportunity is to help define how organizations manage a new category of digital activity.

And for women in STEM, Bay represents another example of technical expertise becoming the foundation for entrepreneurship and leadership in one of technology’s fastest-developing sectors.

Sources and further reading

Looking for Your Next Opportunity in STEM?

Fems in STEM Career Connections highlights women-led innovation, career opportunities, and emerging technology developments.

Subscribe to Fems in STEM Career Connections for curated updates.

This article is independent editorial coverage based on publicly available information. It is not sponsored by or affiliated with the organizations mentioned.


Discover more from Fems in STEM

Subscribe to get the latest posts sent to your email.

Share.

Promoting Women in Science, Technology, Engineering, and Mathematics

Leave A Reply

Discover more from Fems in STEM

Subscribe now to keep reading and get access to the full archive.

Continue reading