G

Glow

by Glow Security

Governance & SecurityEnterprise PlatformDeveloper Tools

The Endpoint AI Company — endpoint visibility, software control, and safe AI adoption in one platform

Contact for pricing·Added July 24, 2026·Updated July 24, 2026
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THE DAILY BRIEF
Glow

by Glow Security

Governance & SecurityEnterprise PlatformDeveloper Tools

The Endpoint AI Company — endpoint visibility, software control, and safe AI adoption in one platform

Contact for pricing

Glow is an AI-powered endpoint security platform that discovers and controls the software, AI agents, and developer tools running on employee devices while assessing risk in real time. It is built for CISOs and enterprise security teams who need to eliminate shadow AI and cut AI supply-chain risk without blocking adoption, and it emerged from stealth in July 2026 at a $1.2 billion valuation.

At a Glance

Category
Governance & Security
Pricing
Contact for pricing
Target Market
CISOs, CIOs, Enterprise Security Teams, IT Operations Leaders
Founded
2025
Headquarters
Palo Alto, CA, United States
Customers
Named customers include Fanatics, Antares Capital, CAVA, BMC Software, Qualtrics, Xactly, and Hospital Sisters Health System; deployments span tens of thousands of devices

Key Features

  • Asset Intelligence
  • Software Control
  • Safe AI Adoption
  • AI supply-chain prevention
  • Security-tool health checks
  • Agent-driven environment mapping

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Shadow AI discovery and control
  • Developer supply-chain defense
  • Continuous endpoint hygiene

Ideal For

Best For

  • Eliminating shadow AI and steering employees onto approved enterprise AI tools
  • Reducing AI supply-chain risk from malicious packages and unauthorized agent software pulls
  • Maintaining an accurate, continuously validated inventory of endpoint software at scale

Market Analysis

Enterprise-gradeEndpoint AI securityPrevention-first

Pros

  • Already has paying enterprise customers named publicly across healthcare, retail, and financial services
  • $180M all-equity Series A at a $1.2B valuation from Sequoia, Cyberstarts, Greenoaks, and Redpoint
  • Founding bench drawn from Meta, Snowflake, Claroty, United Airlines, and Docusign

Cons

  • Only emerged from stealth in July 2026, so third-party evaluations are limited
  • Published metrics (28 days to zero critical issues, 90%+ AI supply-chain risk reduction) are vendor-reported
  • No public pricing or supported-OS detail

Pricing

Enterprise

Contact for pricing

  • Asset Intelligence discovery and inventory
  • Software Control policies and autonomous remediation
  • Safe AI Adoption / shadow-AI elimination

Pricing and deployment specifics are not published on the site; Glow sells to enterprises directly and reports deployments spanning tens of thousands of devices.

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© 2026 Rajesh Beri. All rights reserved.

Glow is an AI-powered endpoint security platform that discovers and controls the software, AI agents, and developer tools running on employee devices while assessing risk in real time. It is built for CISOs and enterprise security teams who need to eliminate shadow AI and cut AI supply-chain risk without blocking adoption, and it emerged from stealth in July 2026 at a $1.2 billion valuation.

At a Glance

Category
Governance & Security
Pricing
Contact for pricing
Target Market
CISOs, CIOs, Enterprise Security Teams, IT Operations Leaders
Founded
2025
Headquarters
Palo Alto, CA, United States
Customers
Named customers include Fanatics, Antares Capital, CAVA, BMC Software, Qualtrics, Xactly, and Hospital Sisters Health System; deployments span tens of thousands of devices

Key Features

  • Asset Intelligence

    Continuously discovers endpoints and software layers, then automatically researches and validates findings to build an accurate, living inventory.

  • Software Control

    Applies adaptable policies and autonomous remediation agents to prevent and fix endpoint security issues at scale.

  • Safe AI Adoption

    Eliminates shadow AI usage and ensures employees use only approved enterprise AI tools with managed settings.

  • AI supply-chain prevention

    Blocks malicious npm packages from being installed and detects AI agents attempting unauthorized software pulls.

  • Security-tool health checks

    Identifies missing or degraded endpoint detection tooling across the device fleet.

  • Agent-driven environment mapping

    Uses AI agents to map the enterprise environment rather than relying on manual asset surveys.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Shadow AI discovery and control

    Find every unsanctioned AI tool in use on employee devices and route usage to approved enterprise alternatives.

  • Developer supply-chain defense

    Prevent malicious npm package installs and unauthorized software pulls on engineering endpoints.

  • Continuous endpoint hygiene

    Detect missing or degraded security agents and remediate automatically instead of via ticket queues.

Ideal For

Best For

  • Eliminating shadow AI and steering employees onto approved enterprise AI tools
  • Reducing AI supply-chain risk from malicious packages and unauthorized agent software pulls
  • Maintaining an accurate, continuously validated inventory of endpoint software at scale

Market & Ratings

Estimated Customers

Named customers include Fanatics, Antares Capital, CAVA, BMC Software, Qualtrics, Xactly, and Hospital Sisters Health System; deployments span tens of thousands of devices

Market Analysis

Enterprise-gradeEndpoint AI securityPrevention-first

Pros

  • Already has paying enterprise customers named publicly across healthcare, retail, and financial services
  • $180M all-equity Series A at a $1.2B valuation from Sequoia, Cyberstarts, Greenoaks, and Redpoint
  • Founding bench drawn from Meta, Snowflake, Claroty, United Airlines, and Docusign

Cons

  • Only emerged from stealth in July 2026, so third-party evaluations are limited
  • Published metrics (28 days to zero critical issues, 90%+ AI supply-chain risk reduction) are vendor-reported
  • No public pricing or supported-OS detail

Pricing

Enterprise

Contact for pricing

  • Asset Intelligence discovery and inventory
  • Software Control policies and autonomous remediation
  • Safe AI Adoption / shadow-AI elimination

Pricing and deployment specifics are not published on the site; Glow sells to enterprises directly and reports deployments spanning tens of thousands of devices.

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