A new cybersecurity firm, Glow, has made a significant entrance into the tech landscape, announcing its emergence from 'stealth mode' with a valuation of $1.2 billion (£940 million). The Palo Alto-headquartered startup, founded by a team of former Meta and Snowflake executives, secured $180 million in an all-equity Series A funding round. This substantial investment, backed by prominent venture capital firms including Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, positions Glow as a 'unicorn' company, a term for privately held startups valued at over $1 billion, even before publicly disclosing its revenue figures.
Glow's ambitious strategy is centred on tackling the evolving challenges in endpoint security, a critical area for businesses as artificial intelligence tools become increasingly integrated into daily operations. The company argues that the widespread adoption of AI agents and developer tools within enterprises, coupled with attackers leveraging generative AI for more sophisticated cyberattacks like automated phishing and malware development, necessitates a fundamentally new approach to securing employee devices, servers, and other connected endpoints. This concern has been amplified by developments such as Anthropic's Mythos AI model, which reportedly demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, sparking broader discussions about AI-assisted cyber threats.
Founded in 2025, Glow is developing an endpoint security platform designed to continuously monitor and control the software, AI agents, and developer tools operating on employee devices. The platform employs specialised AI agents to map enterprise environments in real-time, assess potential risks, and enforce security policies proactively. According to co-founder and chief executive Roi Tiger, formerly a vice president of engineering at Meta, the rapid deployment of AI directly onto endpoints represents an unprecedented shift, contrasting with the past decade's focus on cloud and SaaS migrations.
The startup's leadership team boasts considerable industry experience, including co-founder Omer Singer, previously head of cybersecurity strategy at Snowflake, and Ophir Arie, former vice president of research and development at Claroty. Emily Heath, a former CISO at United Airlines and DocuSign, serves as Chief Operating Officer. Despite only recently emerging from stealth, Glow has confirmed it already has paying customers across diverse sectors such as healthcare, retail, and financial services, though specific names and numbers remain undisclosed. Tiger indicated that typical deployments span tens of thousands of employee devices in global organisations.
Glow's platform integrates AI models from Anthropic and Google's Gemini, accessed via Amazon Bedrock, while building its own software to provide essential enterprise context and enhance reliability for security tasks. The company reports early successes, including preventing malicious npm packages – third-party software components used in application development – from being installed, identifying AI agents attempting to pull in such software, and detecting employee devices where existing endpoint detection and response (EDR) tools were either missing or underperforming. This proactive stance distinguishes Glow from many existing EDR solutions, which primarily focus on threat detection after an incident occurs.
The company enters a competitive endpoint security market dominated by established players like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks. Glow's bet is that AI-native endpoint security platforms will emerge as a distinct and essential category, offering a preventative layer against the unique risks introduced by the AI era. With nearly 100 employees, approximately 70% based in Israel and the remainder in the U.S., Glow is poised to challenge existing paradigms in enterprise cybersecurity.