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Respond at Machine Speed
Operationalize the Agentic NOC
Winning in the AI era requires maintaining peak operational performance in real time across your environment, from legacy systems and cloud infrastructure to high-throughput AI workloads. ExtraHop transforms network telemetry—the most reliable source of truth—into structured, real-time context for machine reasoning.
The result: intelligent observability that operates at machine speed, enabling IT operations teams to proactively resolve performance bottlenecks, slash MTTR, and guarantee the reliability your business depends on.
Challenges
The Traditional NOC Was Never Designed for AI-Powered Infrastructure Velocity
AI is fundamentally changing the speed, scale, and complexity of IT environments. As autonomous agents and AI-driven workloads proliferate, infrastructure performance demands have outpaced the capacity of traditional manual monitoring. Infrastructure components are interacting at machine speed, yet operational visibility remains trapped in siloed legacy tools.
Traditional workflows cannot keep pace. ITOps teams operate under overwhelming alert noise, forced to manually triage disconnected signals across hybrid environments. To manage the volume, teams rely on reactive "swivel-chair" investigations and manual correlation, often missing critical dependency failures until end users are already impacted. These blind spots are only exacerbated by the rise of shadow AI workflows that bypass legacy monitoring.
This creates a dangerous situation where AI-driven infrastructure now operates at machine speed, while operations teams remain tethered to human-scale, reactive workflows.
BLOG
Reducing Mean-Time-to-Innocence (MTTI) from Hours to Seconds with ITOps Agent Skills
Transform your NOC from reactive to proactive. Learn how the new ExtraHop ITOps Health Assessment agent skill automates network troubleshooting and reduces MTTI.
Solution
Enhance Operational Resilience
Reduce monitoring gaps with automated asset discovery and dependency mapping combined with visibility and real-time analysis across hybrid networks.
RevealX NPM
Performance
Network Performance Monitoring (NPM)
Quickly identify, investigate, and resolve disruptions to critical assets and IT infrastructure.
“It provides deep and reliable visibility into network and application behavior, allowing us to quickly identify performance issues, troubleshooting complex problems, and validate root causes.”
IT Services Associate
Finance (non-banking)
Customer Success Story
12x Faster Resolution Cycles
The agentic NOC model replaces tribal knowledge with machine-speed correlation. Real-world validation from a major manufacturer demonstrated that a complex network latency issue—previously requiring a 12-hour "all-hands" war room—was resolved in just one hour by utilizing AI to correlate network performance metrics with packet-level evidence.
AI Engineering
Built for the Teams Building AI
Building an AI agent or LLM integration doesn't stop at the demo: once live, it consumes bandwidth, calls dependencies, and moves data across the network like any other service, and its engineers are often the last to know something's wrong. Application performance tools see the code, not what's happening on the wire when a new agent overloads a dependency, leaks unexpected data, or degrades a shared backbone.
The same network-level visibility that flags shadow AI for security also gives builders their own early warning: real dependency maps, real latency numbers, and real traffic patterns for the service they shipped, before a security review or an outage forces the conversation.
Agentic Tools
Get Tools on GitHub
Visit the ExtraHop GitHub repository to get agentic tools, guidance on how to deploy, and more.
