level: business
glow, a palo alto-based cybersecurity startup, emerged from stealth with a $1.2 billion valuation after a $180 million series a round led by sequoia capital, cyberstarts, greenoaks, and redpoint ventures. founded in 2025 by former meta vice president of engineering roi tiger and ex-snowflake cybersecurity head omer singer, the company aims to address growing threats from ai-powered attacks. the platform uses specialized ai agents to map enterprise environments, assess risk in real time, and enforce security policies on employee devices.
the startup claims its approach differs from traditional endpoint detection and response tools by focusing on prevention rather than post-threat detection. glow's platform has already blocked malicious npm packages, identified ai agents attempting to pull risky software, and detected devices with missing or impaired security tools. it relies on ai models from anthropic and google gemini via amazon bedrock, supplemented by proprietary software to add enterprise context and improve reliability for security tasks.
glow enters a competitive market dominated by crowdstrike, microsoft, sentinelone, and palo alto networks. with nearly 100 employees split between israel and the u.s., the company has paying customers in healthcare, retail, and financial services but did not disclose specifics. the rise of ai models capable of exploiting vulnerabilities, such as anthropic's mythos, has intensified demand for new security measures, though it remains unclear if ai-native endpoint security will become a distinct category.
why it matters: as ai tools and ai-generated attacks proliferate, enterprises need new ways to secure endpoints against automated threats, making glow's preventive approach relevant for data security and ai risk management.