Founded by enterprise technology and cybersecurity leaders Roi Tiger, Omer Singer, and Ophir Arie, Glow utilizes an agentless, API-driven architecture supported by over 100 specialized autonomous AI agents. The platform continuously maps organizational endpoints, enforces natural-language security policies, and automatically remediates risk exposures to establish a prevention-first posture.

Core Operational Model: What Glow Security Does

Glow operates as a continuous discovery, policy enforcement, and autonomous remediation engine for endpoints. Rather than focusing strictly on post-breach detection, the platform focuses on foundational attack surface reduction:

1. Continuous Discovery and Reconciled Inventory Glow continuously inspects all layers of software operating across employee devices. This includes traditional desktop software, installed command-line packages, integrated development environment (IDE) extensions, browser plug-ins, and agentic workflows. It actively reconciles what it observes across distributed assets to generate an authoritative, living software inventory.

2. Shadow AI and AI Supply-Chain Governance As enterprise workforces increasingly adopt consumer AI chatbots, coding assistants, and automated desktop agents, corporate data is frequently exposed to unmanaged third-party models. Glow identifies unauthorized AI usage ("shadow AI"), verifies whether approved enterprise licenses and configurations are being enforced, and detects anomalous configurations or permissions assigned to agentic tooling.

3. Natural-Language Policy Translation and Autonomous Enforcement Security teams establish security baselines using policy directives. Glow’s agentic reasoning engine converts organizational risk policies into automated enforcement actions. It replaces manual ticket filing and manual administrative chasing by resolving configuration drifts, revoking unsanctioned permissions, and uninstalling unapproved or vulnerable packages directly.

Platform Architecture and Technological Differentiation

Glow’s product is engineered around three primary architectural characteristics:

1. Agentless and API-Driven Integration

Deploying yet another resource-heavy local agent to enterprise workstations often creates system friction and administrative overhead. Glow integrates via API connections with an organization's existing identity providers, device managers, and security platforms (such as MDMs and cloud directories), enabling zero-touch deployment and rapid time-to-value without disrupting end-user performance.

2. Multi-Agent AI System Architecture

The platform runs a coordinated mesh of over 100 specialized AI agents. Each agent is tasked with specific analytical responsibilities, such as: - Researching new packages and repositories for software supply-chain vulnerabilities. - Validating the legitimacy and permission scopes of browser and developer extensions. - Correlating user identity with software license types and data sensitivity levels. - Planning and validating non-disruptive remediation paths before executing policy controls.

3. Context-Aware Reasoning Engine

Rather than relying on rigid binary rules that disrupt user productivity, Glow evaluates the operational context of an endpoint (e.g., department, user role, risk posture of the device). This context allows the system to determine whether a piece of software is legitimate business tooling or an unmanaged exposure, minimizing false positives.

Core Products, Capabilities, and Services

Glow packages its platform capabilities into unified enterprise subscriptions delivered as Software-as-a-Service (SaaS), accessible directly and via cloud marketplaces such as AWS Marketplace. Key capabilities include:

Asset Intelligence

• Comprehensive Layer Mapping: Scans beyond basic operating system binaries to discover developer dependencies, IDE plugins, browser extensions, background daemons, and script configurations.
• Living Software Catalog: Continuously updates software inventories in real time, automatically retiring decommissioned assets and surfacing newly downloaded utilities.
• Software Lineage and Origin Tracking: Analyzes how software entered an environment, who installed it, and which privileges it retains.

Proactive Software Control

• Autonomous Remediation: Automatically removes unapproved applications, isolates outdated dependencies, and reverts unapproved configuration changes without requiring security analyst intervention.
• Natural-Language Guardrails: Allows security teams to formulate policy rules in human-readable terms that the platform automatically enforces across endpoint fleets.
• Drift Management: Identifies configuration drift across managed devices and brings non-compliant endpoints back into alignment with corporate security baselines.

Secure AI Footprint & Governance

• Shadow AI Discovery: Identifies unauthorized AI services, local LLM installations, unvetted API wrappers, and browser-based AI extensions operating on company hardware.
• Enterprise Account Verification: Verifies that personnel access generative AI tools strictly through managed, enterprise-tier logins that adhere to corporate data retention and privacy standards.
• Agentic Workflow Sandboxing & Guardrails: Evaluates and monitors permissions granted to automated coding assistants and desktop agents, preventing unauthorized file access or unvetted credential exposure.

Target Audience and Use Cases

Glow serves mid-market and enterprise organizations, particularly in technology, financial services, e-commerce, and information services. Primary use cases include:

• AI Adoption Enablement: Enabling CISOs and CIOs to grant employees access to generative AI and agentic coding platforms safely, backed by verifiable policy enforcement and credential auditing.
• Endpoint Hygiene and Attack Surface Reduction: Eliminating legacy software bloat, dormant developer packages, unapproved file-sharing tools, and unauthorized remote access tools across distributed workforces.
• Security Operations Center (SOC) Burden Reduction: Replacing repetitive triage tasks—such as tracking down end users to update software or delete unapproved apps—with autonomous, policy-bounded agentic remediation.
• Audit and Regulatory Compliance: Supporting frameworks such as SOC 2 Type 2 and ISO/IEC 27001 by providing auditable, tamper-resistant records of endpoint compliance and software asset inventories.