ExtraHop® Delivers the Foundation for Secure AI Innovation Across the Agentic Enterprise

SEATTLE – March 23, 2026 – ExtraHop®, a leader in modern network detection and response (NDR), today announced a comprehensive approach to de-risking AI innovation by providing enterprises with the definitive visibility and oversight required to manage their AI and agentic infrastructure.

As AI agents move data and interact with core business systems, they create a massive blind spot where traditional security tools cannot distinguish between legitimate automation and malicious exploitation. To move forward on their agentic journeys, enterprises must establish a foundation of total AI transparency, monitoring what is connected to the network, what it is doing, and how it is interacting with other systems, while ensuring that autonomous workflows remain within defined safety parameters and security boundaries.

ExtraHop is helping organizations address this need, ensuring operational integrity for the agentic enterprise by delivering deep insights that transform the network into a source of truth for AI observability, threat investigation and response, and governance.

AI Asset Inventory: Mapping the AI Attack Surface

The rapid adoption of AI has introduced an expansive attack surface beyond the reach of traditional security controls, with every new large language model (LLM), Model Context Protocol (MCP) server, and API representing a potential entry point for threat actors.

ExtraHop helps enterprises create and maintain a continuous inventory of agentic infrastructure, ensuring that AI assets and their associated activity are actively monitored to eliminate security blind spots. Organizations can baseline their approved AI tools and immediately flag unsanctioned entities the moment they spin up on the network by automatically discovering and mapping:

• LLM usage across cloud and on-prem environments to identify unauthorized or insecure model access.
• MCP servers, APIs, and tool endpoints, which often serve as high-privilege gateways to sensitive internal data.
• Agents and their communication patterns to reveal hidden paths between agents and the core network.

AI Observability: Surfacing Anomalous Activity in Real Time

As AI use expands across the enterprise, visibility becomes non-negotiable. Without clear oversight into which models are being used, what data is being sent to which destinations, and which user or service initiated the request, organizations face a growing onslaught of unmanaged risks.

ExtraHop closes this gap by monitoring, decrypting, and analyzing AI traffic in real time to surface both operational and behavioral insights. Correlating actions across the AI stack with the devices and identities behind it provides the context necessary to detect unauthorized data movement, privilege escalation, and anomalous agent behavior. This granular visibility covers:

• LLM request/response behavior to identify anomalies in intent, prompt structure, or data output that signal a compromised interaction.
• MCP-mediated tool usage, surfacing exactly which internal systems an agent is calling and the specific actions it is performing within them.
• Identity propagation, tracking how credentials and permissions move across multi-step workflows.

AI Threat Detection: Defending Against Sophisticated Adversaries

When agentic infrastructure is manipulated by threat actors, they can bypass security boundaries, abuse privileges, or leak sensitive information.

ExtraHop addresses these sophisticated risks by recognizing the specific network patterns of an AI-based compromise in real time. By monitoring for deviations from established behavioral baselines, the platform identifies critical AI-specific threats, including:

• Prompt injection attempts, detecting anomalous prompt structures designed to bypass safety filters.
• Suspicious data flows that indicate potential exfiltration or unintended agent behavior.
• Unexpected or risky agent actions that deviate from established behavioral baselines.

AI Governance: Maintaining Forensic Visibility into Shadow AI and Policy Compliance

Compliance and policy enforcement are often the first things to break during rapid AI scaling. When teams bypass official channels to use unauthorized AI tools, they expose the enterprise to unmanaged legal and security risks.

ExtraHop enables organizations to enforce internal AI policies and maintain regulatory alignment without requiring intrusive application-layer controls or slowing down innovation. The platform provides the necessary auditing and reporting required to meet regulatory requirements by detecting:

• Governance violations, identifying the bypass of approved AI gateways or the use of unsanctioned models and services.
• Non-compliant data flows, surfacing the movement of sensitive information across unvetted AI interactions.
• Policy-deviant interactions, providing a clear audit trail of agent activity to support continuous compliance and oversight.

“AI is the ultimate competitive advantage, yet it quickly becomes a disadvantage if deployed without transparency and control,” said Kanaiya Vasani, Chief Product Officer, ExtraHop. “To scale safely, enterprises must establish definitive oversight of every agent and autonomous workflow on their network. By harnessing deep network insights, we are giving leaders the real-time visibility and context they need to move fast and innovate boldly, ensuring their AI remains a powerful engine for growth rather than an unmanaged risk.”

“The rapid adoption of AI is creating a trust gap in the enterprise; organizations want the agility and scale of autonomous agents but fear the loss of control,” said Chris Kissel, Research Vice President, Security & Trust, IDC. “ExtraHop is bridging this gap by treating visibility into AI traffic as a foundational security requirement. By providing a clear window into these agents, what they’re doing, and how they interact with one another, ExtraHop is enabling businesses to move from cautious experimentation to confident, large-scale AI deployment throughout the modern enterprise.”

To learn more, visit ExtraHop at RSAC, booth N-5871.