Netskope launches AI Command Center to secure exploding enterprise AI adoption with unified platform

Netskope Addresses Critical Enterprise AI Security Challenges

Netskope announced the launch of Netskope One AI Command Center, a comprehensive platform designed to tackle the mounting challenges of enterprise AI security as organizations struggle to manage explosive AI adoption. The cybersecurity company, valued at $5.15 billion with $709 million in revenue over the last twelve months, is responding to a landscape where the average enterprise organization experienced a fivefold increase in AI applications over the past year1

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. These same organizations tripled their AI user base, now manage 37 deployed AI agents, and encounter 223 AI data policy violations per month3

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The platform arrives at a critical moment for security teams. According to Netskope's 2026 AI Risk and Readiness Report, 94% of participating organizations report gaps in AI activity visibility, with only 6% claiming complete visibility into their AI pipeline2

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. This visibility crisis creates significant exposure as unauthorized AI tools often carry the highest risk profiles.

Comprehensive AI Discovery and Risk Intelligence Capabilities

The AI Command Center delivers AI discovery across multiple vectors, identifying AI assets whether corporate or personal, managed or shadow, cloud-based or on-premises. The platform maps these assets to connected identities, data stores, and tools, then correlates findings with existing knowledge banks relating to data sensitivity, user risk profiles, and application trustworthiness1

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. By mapping relationships between AI assets, identities, and data stores, the system surfaces hidden attack paths and risk exposures.

The launch introduces three discovery components for AI application risk management. Endpoint AI discovery enhances the Netskope One Client to scan installed applications, running processes, and listening ports on managed endpoints, identifying AI agents, local models, and browser extensions. Server AI discovery deploys a lightweight eBPF agent that intercepts TLS-encrypted AI traffic at the kernel level on corporate virtual machines and Kubernetes nodes, extending discovery to core AI infrastructure within the corporate perimeter3

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. The platform also includes inline traffic inspection capabilities for comprehensive coverage.

Autonomous Agentic Response Through AgentSkope Integration

Fully integrated with the AI Command Center is AgentSkope AI Risk AISecOps agent, an autonomous intelligence layer that handles triage and investigation, drives response, and scales security team expertise without expanding headcount. This AISecOps agent reasons across the full context of every incident, closing the gap between detection and action. From the same interface, the platform recommends next steps including policy creation or fine-tuning, remediation workflows, or investigation procedures1

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Sanjay Beri, Co-Founder and CEO of Netskope, emphasized the operational shift: "Organizations have adopted AI faster than any security team can manually track, triage, or contain, and the tools nobody approved are almost always the ones carrying the highest risk. Paired with our new AI Risk AISecOps Agent, which reasons across the full context of every incident and closes the gap between knowing and doing, we're delivering a fundamental shift from security teams that react to AI risk, to security operations that anticipate and eliminate it"1

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Netskope Expands AI Vulnerability Detection Through Project Glasswing

In a parallel initiative for securing AI applications, Netskope joined Project Glasswing, an effort using Anthropic's Claude Mythos Preview AI model to identify code vulnerabilities at scale. The company will share findings with the Glasswing coalition and the broader cybersecurity community2

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. This participation leverages Netskope's position as the global inline inspection point for AI and enterprise traffic, processing trillions of transactions across thousands of customers, including more than 30 Fortune 100 companies.

Industry Validation and Market Implications

Jennifer Glenn, Research Director for Data and Information Security at IDC, validated the platform's approach: "Enterprise AI adoption has skyrocketed. Data volume and sprawl have created a pervasive visibility gap for security teams. For many organisations effectively correlating risk across managed and shadow AI assets, user identities and data stores is difficult. Platforms that combine comprehensive AI discovery with real-time risk correlation are essential for enabling security operations to anticipate, prioritise, and autonomously eliminate AI-fueled threats at the speed the landscape demands"1

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The AI Command Center is generally available today, with enhanced capabilities including endpoint AI discovery, server AI discovery, AI asset mapping and risk correlation, and the AI Risk AISecOps Agent moving from private preview to general availability throughout Q3 20261

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. For organizations navigating rapid AI adoption, the platform's unified approach to AI Security represents a critical tool for maintaining visibility and control while enabling teams to leverage AI capabilities securely. Security teams should monitor how the autonomous response capabilities perform in production environments and whether the unified platform approach effectively addresses the visibility gaps that plague most enterprises today.