Glow endpoint security startup has stepped out of stealth with a $180 million all-equity Series A and a $1.2 billion valuation, betting that AI landing on the enterprise endpoint has broken the assumptions underpinning a decade of conventional security tools. The unicorn round was backed by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures also participating.
That is an impressive roster of names to announce before disclosing a single revenue figure. Glow has paying customers across healthcare, retail, and financial services, but declined to name any or say how many it has.
What Glow’s Endpoint Security Platform Actually Does
Founded in 2025 and headquartered in Palo Alto, Glow is building an endpoint security platform aimed at enterprises that are suddenly grappling with AI agents, developer tools, and third-party software components running on employee devices at scale. Where established players like CrowdStrike, Microsoft, SentinelOne, and Palo Alto Networks focus primarily on detecting threats after they emerge, Glow’s pitch is prevention: stopping risky software and AI agents from entering the enterprise environment in the first place.
The platform uses specialised AI agents to continuously map enterprise environments, assess risk in real time, and enforce security policies. Glow draws on models from Anthropic and Google’s Gemini through Amazon Bedrock, while building its own software layer to give those models enterprise context and sharpen their reliability for security tasks.
Co-founder and chief executive Roi Tiger described the shift bluntly: ‘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.’
Glow says the platform has already intercepted malicious npm packages (third-party software components used to build applications) from being installed in customer environments, caught AI agents attempting to pull in similar software, and flagged devices where endpoint detection and response tools were missing or running at reduced functionality. Typical deployments span tens of thousands of devices across global organisations.
The Team Behind the Glow Endpoint Security Bet
Tiger is a former Meta vice president of engineering and, before that, co-founder of Onavo, the mobile analytics company that Meta acquired in 2013. He co-founded Glow alongside Omer Singer, former head of cybersecurity strategy at Snowflake; Ophir Arie, former vice president of research and development at Claroty; and Arnon Joseph, a former engineering leader at Meta.
The chief operating officer is Emily Heath, whose CV reads like a checklist of high-stakes security environments. She served as Chief Trust and Security Officer at DocuSign, chief information security officer at United Airlines, and, according to Calcalist Tech, a General Partner at Cyberstarts (one of Glow’s lead investors) before joining as COO. Heath is also a former fraud and financial crimes detective for the British Police. She joined the Wiz board in August 2022, according to Wiz, and stayed through its $32 billion acquisition by Google.
The startup currently employs nearly 100 people, around 70% of them based in Israel, with the remainder in the United States.
Where the $180 Million Is Going
According to Glow’s press release, the funding will be used to accelerate its go-to-market team in the United States and to expand Glow Labs, the company’s internal research arm. The Israel-heavy engineering headcount and a US-facing commercial push is a familiar structure for Israeli cybersecurity startups coming out of stealth, and Cyberstarts, one of the lead investors here, was purpose-built for exactly this profile: the Tel Aviv-based firm was founded in 2018 by Gili Raanan and has a dedicated $60 million Seed Fund III aimed at early-stage cybersecurity companies.
The broader context is doing a lot of work in Glow’s favour. Anthropic’s Mythos AI model, which Anthropic said demonstrated advanced capabilities in identifying and exploiting software vulnerabilities, has intensified debate about AI-assisted cyberattacks. Generative AI is already being used to automate phishing campaigns and develop malware, which has enterprises rethinking endpoint exposure from employee laptops outward to servers and every connected device in between.
Whether AI-native endpoint security becomes a standalone category or gets absorbed into the existing platforms is the real question. CrowdStrike, Microsoft, and SentinelOne all have the distribution and data scale to bolt AI-prevention features onto their existing stacks. Glow’s answer is that being built for the AI era from day one beats retrofitting, and it has $180 million and some credible backers to test that thesis. The first real signal will come when it stops declining to disclose customer numbers.
