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  • ExtraHop Delivers Foundation for Secure AI Innovation in Agentic Enterprise
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ExtraHop Delivers Foundation for Secure AI Innovation in Agentic Enterprise


ExtraHop Delivers Foundation for Secure AI Innovation in Agentic Enterprise
  • by: Source Logo
  • |
  • March 24, 2026

ExtraHop, a leader in modern network detection and response (NDR), has announced a comprehensive approach to de-risking AI innovation. The solution delivers definitive visibility and oversight for AI and agentic infrastructure, enabling enterprises to maintain operational integrity as autonomous agents interact with core business systems.

Quick Intel

  • ExtraHop provides continuous AI asset inventory to map and monitor LLM usage, MCP servers, APIs, and agent communication patterns.
  • Real-time AI observability decrypts and analyzes traffic to surface anomalous request/response behavior and identity propagation.
  • Advanced threat detection identifies prompt injection attempts, suspicious data flows, and risky agent actions in real time.
  • Forensic governance capabilities detect shadow AI, policy violations, and non-compliant data movements with clear audit trails.
  • The platform transforms the network into a source of truth for AI transparency, threat investigation, and compliance enforcement.
  • Enterprises gain the foundation needed to scale agentic workflows safely while enforcing defined security boundaries.

As AI agents move data and interact with core business systems, they create significant blind spots that traditional security tools cannot address. Enterprises require total AI transparency — knowing what is connected, what it is doing, and how it is interacting — to ensure autonomous workflows remain within safety and security parameters.

AI Asset Inventory: Mapping the AI Attack Surface

ExtraHop automatically discovers and maintains a continuous inventory of agentic infrastructure, including:

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

This inventory baselines approved AI tools and immediately flags unsanctioned entities the moment they appear on the network.

AI Observability: Surfacing Anomalous Activity in Real Time

ExtraHop monitors, decrypts, and analyzes AI traffic in real time, correlating actions across the AI stack with devices and identities. Key capabilities include:

  • LLM request/response behavior analysis to detect anomalies in intent, prompt structure, or data output.
  • MCP-mediated tool usage visibility, showing exactly which internal systems agents are accessing and the actions performed.
  • Identity propagation tracking across multi-step agentic workflows.

AI Threat Detection: Defending Against Sophisticated Adversaries

The platform recognizes specific network patterns of AI-based compromises by monitoring deviations from behavioral baselines, identifying threats such as:

  • Prompt injection attempts through anomalous prompt structures.
  • Suspicious data flows indicating potential exfiltration or unintended agent behavior.
  • Unexpected or risky agent actions that deviate from established norms.

AI Governance: Maintaining Forensic Visibility and Policy Compliance

ExtraHop enables enforcement of internal AI policies and regulatory alignment by detecting:

  • Governance violations, including bypass of approved AI gateways or use of unsanctioned models.
  • Non-compliant data flows involving sensitive information across unvetted interactions.
  • Policy-deviant interactions with clear audit trails for continuous compliance 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.”

About ExtraHop

ExtraHop turns the network - the enterprise’s ultimate source of truth - into actionable insight to power security, performance, and resilience. Delivering superior data by design, we ensure superior defense by default. The ExtraHop modern network detection and response (NDR) platform provides visibility that thinks, analyzing behavior to intercept evasive risks before they cause damage. We transform network noise into definitive context, enabling security teams to make faster decisions and operate at uncompromised scale. Whether securing cloud modernization or de-risking AI adoption, ExtraHop gives global enterprises the ground truth they need to thrive.

  • AI SecurityAgentic AIAI ObservabilityThreat Detection
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