By Titik Puspa 
In a significant development for the cybersecurity landscape, Glow, a nascent startup founded by a formidable team of former executives from tech giants Meta and Snowflake, has officially emerged from stealth mode, achieving unicorn status with a substantial $180 million Series A funding round. This infusion of capital, which valued the company at an impressive $1.2 billion, underscores a powerful bet on the transformative role of artificial intelligence in how enterprises approach the critical task of securing employee devices. The funding round was spearheaded by prominent venture capital firms Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with additional participation from a distinguished list of investors including Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures. This rapid ascent to unicorn valuation, prior to disclosing any revenue metrics, positions Glow among the latest wave of cybersecurity innovators rapidly reshaping the industry.
The impetus behind Glow’s ambitious vision is rooted in the escalating sophistication of cyber threats, driven significantly by the proliferation of AI. As businesses increasingly adopt AI tools for operational efficiency and innovation, malicious actors are leveraging generative AI to automate and enhance their attack vectors. This includes more convincing phishing campaigns, the rapid development of novel malware, and the execution of highly intricate cyberattacks that were previously unimaginable. The urgency of this shift was amplified by recent revelations concerning Anthropic’s “Mythos” AI model, which demonstrated an advanced capacity for identifying and exploiting software vulnerabilities. This development ignited a broader debate about the dual-use nature of AI in cybersecurity, prompting a critical re-evaluation of how organizations secure their digital perimeters. Glow’s foundational premise is that this evolving threat landscape necessitates a paradigm shift in endpoint security – the protection of every device connected to an enterprise network, from employee laptops and mobile phones to servers and Internet of Things (IoT) devices.
Founded in 2025, Glow is actively developing a next-generation endpoint security platform designed to provide enterprises with unprecedented visibility and control over the software, AI agents, and developer tools operating on their employees’ devices. The company’s proprietary platform employs a suite of specialized AI agents that are engineered to continuously map an enterprise’s digital environment, perform real-time risk assessments, and rigorously enforce security policies. This proactive approach aims to preempt threats before they can materialize, moving beyond traditional reactive security measures.
Roi Tiger, co-founder and CEO of Glow, articulated the company’s strategic imperative in a recent interview, stating, "If you think of the past decade, everything was moving to the cloud and SaaS. Suddenly, AI lands on the endpoint in a way we’ve never seen." This sentiment captures the disruptive potential of AI’s integration into the very fabric of endpoint operations. The conventional focus on cloud and software-as-a-service (SaaS) security, which dominated the previous decade, is now being challenged by the decentralized and pervasive nature of AI on individual devices.
The leadership team at Glow is a testament to the company’s deep technical expertise and industry insight. CEO Roi Tiger, a former Vice President of Engineering at Meta, brings extensive experience in scaling complex engineering operations. He co-founded Glow alongside Omer Singer, formerly the head of cybersecurity strategy at Snowflake, a company renowned for its data cloud innovation. The founding team also includes Ophir Arie, who previously served as Vice President of Research and Development at Claroty, a leader in industrial cybersecurity, and Arnon Joseph, another former engineering leader from Meta. Further bolstering the executive ranks is Chief Operating Officer Emily Heath, a seasoned cybersecurity veteran. Heath’s impressive career includes serving as Chief Information Security Officer (CISO) at major corporations like United Airlines and DocuSign. She also played a pivotal role on the board of Wiz during its significant acquisition by Google for $32 billion and was a former partner at Cyberstarts, an early-stage cybersecurity venture fund. This confluence of experience from hyperscale tech companies, critical infrastructure security, and venture capital provides Glow with a unique vantage point to address the multifaceted challenges of modern cybersecurity.
Despite its recent emergence from stealth, Glow has already secured paying customers across a diverse range of industries, including healthcare, retail, and financial services. While the company has chosen to withhold specific customer names and numbers, Tiger indicated that its typical deployments involve tens of thousands of employee devices within large, global organizations. This early traction suggests a strong market demand for Glow’s innovative approach.
The technological backbone of Glow’s platform relies on a sophisticated integration of cutting-edge AI models. The company leverages leading AI models from Anthropic and Google’s Gemini, accessed through Amazon Bedrock. Crucially, Glow is not merely adopting existing AI solutions but is actively developing its own proprietary software layer. This custom software is designed to imbue these powerful AI models with deep enterprise context, thereby enhancing their reliability and effectiveness for specific security tasks. This dual strategy of utilizing best-in-class external models while developing bespoke internal solutions allows Glow to tailor AI’s capabilities precisely to the nuanced demands of endpoint security.
Glow’s platform has already demonstrated tangible success in safeguarding its early customers. According to Tiger, the platform has successfully prevented the installation of malicious npm packages – a common vector for introducing vulnerabilities through third-party software components used in application development. Furthermore, it has identified AI agents attempting to download such risky software and has detected employee devices where essential endpoint detection and response (EDR) tools were either missing or functioning with compromised capabilities. These real-world examples highlight the platform’s ability to provide both preventative and detective security measures.
The competitive landscape for endpoint security is undeniably crowded, with established giants such as CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks holding significant market share. Glow aims to differentiate itself by fundamentally rethinking the existing paradigm. Tiger explained that current EDR products primarily focus on detecting threats after they have already breached an organization’s defenses. In contrast, Glow’s platform is engineered to be a proactive barrier, preventing risky software, unauthorized AI agents, and insecure developer tools from entering enterprise environments in the first place. This emphasis on pre-emptive security represents a strategic departure from the prevailing reactive models.
Glow currently employs nearly 100 individuals, with approximately 70% of its workforce based in Israel, a hub for cybersecurity innovation, and the remainder in the United States. The company’s growth trajectory and the ongoing evolution of AI are poised to influence the broader cybersecurity market. The question of whether AI-native endpoint security platforms will crystallize into a distinct and dominant category remains to be seen. However, as enterprises continue to grapple with the profound security implications of increasingly sophisticated AI models, the demand for specialized solutions like Glow’s is likely to intensify. The company’s substantial funding and experienced leadership team position it as a key player to watch in this rapidly evolving frontier of cybersecurity.
