Glow Emerges from Stealth with $180 Million for AI Driven Endpoint Security

Jul 22, 2026
Glow has emerged from stealth with $180 million in funding and a $1.2 billion valuation. The Palo Alto and Tel Aviv based company, founded by former Meta and Snowflake executives, aims to reshape endpoint security for enterprises in the AI era.
Glow Emerges from Stealth with $180 Million for AI Driven Endpoint Security

Glow Security has emerged from stealth with $180 million in funding at a $1.2 billion valuation, announced in a press release. The company, based in Palo Alto and Tel Aviv, said the Series A round was led by Sequoia Capital, Cyberstarts, Greenoaks, and Redpoint Ventures, with participation from Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures.

Glow was founded in 2025 by Roi Tiger, Omer Singer, and Ophir Arie, along with chief product officer Arnon Joseph and chief operating officer Emily Heath. The team includes former executives from Meta, Snowflake, Claroty, and United Airlines.

The company is building an endpoint security platform that uses AI agents to map enterprise environments, analyze risks in real time, and automatically enforce security policies. The system aims to prevent unapproved software, AI agents, and developer tools from entering enterprise networks.

Glow said the platform helps organizations control software running on employee devices and continuously reduces the attack surface. It already serves customers in healthcare, retail, and financial services. The company will showcase its platform at the Black Hat USA Conference in Las Vegas from August 3 to 5, 2026.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Funding News AI Brief AI Brief (X)
Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

Guide
Humanoid Robot Makers

Humanoid Robot Makers

Companies building humanoid robots, from startups to Tesla and Boston Dynamics

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.