Key Takeaways
- Three Israeli cybersecurity startups—Glow, Neo, and Oak—came out of stealth in July, announcing a combined $340 million in fresh funding.
- All three companies argue that traditional security tools, built for human‑driven environments, are inadequate as AI agents and autonomous software become integral to corporate workflows.
- Glow secured the largest round ($180 M at a $1.2 B valuation) and aims to redefine endpoint security for devices where AI tools are increasingly used.
- Neo raised $80 M to create a platform that inventories and monitors AI agents, highlighting the risk of legitimate‑looking autonomous software with broad permissions.
- Oak raised $80 M to rebuild enterprise identity management by continuously analyzing the behavior of humans, contractors, machines, and AI agents.
- Founders of each startup are seasoned veterans from major tech and security firms (Meta, Snowflake, SentinelOne, Wiz, Palo Alto Networks, etc.), a pattern that continues to attract large early‑stage investments in Israel’s cybersecurity ecosystem.
- While the public announcements were clustered within a week, the financing rounds were likely completed months earlier, indicating that investor confidence preceded the stealth‑break.
- The trio’s focus on foundational, platform‑level solutions (rather than niche features) suggests investors view AI‑driven security as a structural shift that will shape enterprise defenses for the next decade.
- History shows that such novel categories can be absorbed by larger vendors, but the scale of early backing signals a belief that these startups may define enduring markets.
Glow’s Massive Endpoint‑Centric Funding
Glow emerged from stealth with the largest single infusion of capital among the three newcomers: $180 million raised across three rounds in roughly a year, valuing the company at $1.2 billion. Founded in 2025 by former executives from Meta, Snowflake, and Claroty, Glow targets the $40 billion endpoint security market. CEO Roi Tiger argues that laptops and workstations have become the frontline where employees experiment with AI agents and integrate autonomous software, often before security teams are aware. He notes that regular use of AI tools on enterprise devices has surged from 15 % to 45 % in a single year, rendering legacy endpoint products—a collection of disconnected point solutions—insufficient. Glow’s vision is to provide a proactive, AI‑driven prevention layer that reaches the endpoint before threats materialize.
Neo’s Focus on Governing AI Agents
Neo, launched by veterans of SentinelOne, Wiz, and Palo Alto Networks, secured $80 million to build a platform that inventories, monitors, and governs AI agents, AI‑powered applications, browser extensions, and digital identities. Citing Gartner data, Neo points out that while only 5 % of enterprise applications incorporated agentic AI in 2025, that figure is projected to climb to 40 % by the end of 2026. Co‑founder Shlomi Salem warns that AI agents operate with legitimate user permissions, making it difficult for organizations to know what data they can access, what actions they are authorized to perform, or how they learn about the enterprise. Traditional security tools, designed for predictable software, fail to capture the autonomous reasoning and external tool‑invocation capabilities of AI agents. Neo’s solution aims to create a continuous control layer that treats AI agents as first‑class citizens in the security posture.
Oak’s Identity‑Centric Reimagining
Oak, founded by serial entrepreneur Shai Morag—whose prior ventures were acquired by Mellanox, Palo Alto Networks, and Tenable—raised $80 million to overhaul enterprise identity management. Rather than concentrating on endpoints or agents alone, Oak maps every identity in an organization—employees, contractors, machines, and AI agents—and continuously analyzes their behavior instead of relying on static access logs. Morag contends that the identity market has reached a “breaking point” because existing tools were never designed to work together, and layering more products has not solved the fragmentation problem. By applying AI‑native analytics to identity behavior, Oak seeks to provide a unified, adaptive control plane that can detect anomalous actions regardless of whether the actor is human or machine.
Founder Pedigrees and Investment Trends
A striking commonality among the three startups is the depth of experience among their founders. Glow’s leadership came from Meta, Snowflake, and Claroty; Neo’s team draws from SentinelOne, Wiz, and Palo Alto Networks; Oak’s founder has previously built and sold three cybersecurity companies worth a combined ≈ $500 million. This track record reassures investors that the teams can execute complex, platform‑level visions. In Israel’s cybersecurity sector, seasoned founders routinely attract large early‑stage checks before products reach broad market adoption, reflecting confidence that proven operators can navigate long sales cycles and sophisticated enterprise buyers.
Timing of Announcements vs. Funding Reality
Although the public unveilings of Glow, Neo, and Oak occurred within a single week in July, creating the impression of a sudden funding surge, the underlying financing rounds were likely completed months earlier. The staggered announcements appear to be a coordinated stealth‑exit strategy rather than a reflection of fresh investor decisions. This timing nuance underscores that the capital commitment predated the publicity, indicating that venture firms had already priced in the AI‑driven security thesis before the startups sought broader visibility.
Shared Diagnosis: AI Redefines Enterprise Security
Despite addressing different layers of the stack—endpoint protection, AI agent governance, and identity management—All three startups converge on a core diagnosis: conventional security products were built for a world where humans, not autonomous software, made decisions inside corporate networks. AI is generating new identities, new software behaviors, and new attack vectors that evolve faster than legacy tools can adapt. Consequently, the founders argue that incremental upgrades to existing solutions are insufficient; instead, enterprises need foundational, AI‑native platforms capable of continuous behavior analysis, dynamic policy enforcement, and cross‑domain visibility.
Strategic Bets on Platform‑Level Solutions
Each company is pursuing a platform‑level approach rather than a narrow point solution. Glow aims to redefine endpoint security for the AI‑augmented device; Neo strives to become the control layer for AI agents across cloud, endpoint, and identity domains; Oak seeks to rebuild identity management as a continuously monitored, behavior‑based system. By targeting these foundational areas, the startups hope to create defensible moats that larger vendors cannot easily replicate through simple feature additions. Investors appear to view AI not as an optional bolt‑on but as a structural shift that will dictate the architecture of enterprise security for the coming decade.
Historical Context and Future Outlook
The cybersecurity landscape is littered with startups that proclaimed the birth of entirely new sectors, only to see larger incumbents absorb the technology or integrate similar capabilities into existing suites. Whether Glow, Neo, and Oak will carve out lasting markets remains uncertain. However, the scale of early investment—hundreds of millions of dollars before public disclosure—suggests that backers believe these ventures have the potential to define enduring categories rather than be fleeting trends. For Israeli cybersecurity, the episode reinforces the reputation of its founder‑driven ecosystem: experienced teams, ambitious visions, and the ability to attract significant capital even before market validation.
Conclusion
The almost‑simultaneous emergence of Glow, Neo, and Oak signals a clear market signal: AI is reshaping the enterprise attack surface, and traditional security tooling is lagging. By securing substantial funding and assembling seasoned teams, these startups are betting that the next wave of enterprise defense will be built around AI‑native identity, endpoint, and agent governance. Whether their platforms become permanent fixtures or are eventually folded into larger vendors’ offerings will depend on execution, adoption rates, and the speed at which incumbents respond to the AI‑driven threat landscape. Nevertheless, the current influx of capital underscores a prevailing conviction among investors that the battle for enterprise security will increasingly be fought at the intersection of AI and infrastructure.