Reducing Mean-Time-to-Innocence (MTTI) from Hours to Seconds with ITOps Agent Skills
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August 24, 2026
Reducing Mean-Time-to-Innocence (MTTI) from Hours to Seconds with ITOps Agent Skills
Operationalizing the Agentic NOC with AI-driven network health assessment and real-time troubleshooting
For years, the Network Operations Center has been defined by the alert. If X happened, run Y script. It is a reactive cycle that creates noise, buries meaningful insights, and ultimately stretches teams too thin. The philosophy of network management is shifting. We are moving away from the era of manual checklists and constant human supervision toward a vision of the self operating network.
Agentic AI is not about replacing the operator, it is about giving the operator the agency to act independently. Where legacy automation is static, executing pre-programmed scripts, Agentic AI interprets situations, evaluates context, and predicts outcomes. It is the difference between a tool that waits for an instruction and an intelligent partner that acts to keep services running even when critical systems fail.
At ExtraHop, we believe that AI agents in the NOC are only as good as the context they reason over. That is why we have built our platform to be the foundational ground truth for the agentic enterprise.
The leap to an Agentic NOC is not just technical, it is operational. We are excited to highlight the next step in this evolution to powering an Agentic NOC by introducing new ITOps skills to our GitHub repository.
You can drop these directly into Claude Desktop or any MCP-compatible AI client right now. Each skill is designed to work hand-in-hand with the ExtraHop MCP Server, meaning your AI actually understands how to navigate RevealX tools to give you answers based on ground truth, not just high-level guesswork.
But how does this actually look in the daily workflow of a busy NOC? Let’s look at the problem we’re solving—and how this skill tackles it head-on.
Every NOC operator knows the struggle of alert fatigue. When you're drowning in thousands of notifications, it's hard to tell what's a critical failure and what's just noise.
That's where our new Network Health Assessment skill comes in. Instead of just dumping a list of errors on your desk, this agent acts as a proactive partner. It continuously looks across traffic patterns, logs, and performance metrics to flag anomalies before they turn into full-blown outages.
Meet the Health Check Skill (extrahop-health-check)
Think of this skill as your go-to for role-aware network health checks. You can ask it anything from "is the network healthy?" to "why are users complaining about slow logins?" It's smart enough to recognize symptoms, like TCP retransmissions or certificate issues, and start investigating even if you don't explicitly ask for a "health check." As long as you have the ExtraHop MCP Server connected, your AI partner is ready to start diagnosing your environment in plain English.
Example Prompts:
"Run a health check on vip-bk--05"
"Assess overall network infrastructure health trends"
"Health check app-x-group last 7d"
"Are DNS services degraded?"
Each skill is purpose-built to work with the ExtraHop MCP Server and knows how to drive RevealX tools the right way so you get accurate, context-aware answers instead of generic AI guesswork.
These agent skills are portable packages of instructions, scripts, and resources that give AI agents specialized capabilities and domain expertise. They operate via progressive disclosure, meaning agents only load the necessary steps and code into context when a user request matches the skill's description.
- Proactive, Not Reactive: It detects trending packet loss in a network segment before the end user ever notices a dip in experience.
- Context Aware Reasoning: It does not just see the what, it understands the why, connecting the dots across application dependencies and network health.
- Reduced Alert Fatigue: It filters the noise, ensuring your teams focus only on meaningful incidents that require human intervention.
An agent is only as intelligent as the data it is fed. The ExtraHop platform provides the deep, pre-correlated, and enriched context layer required for decision-grade intelligence. By tapping into real-time network data with ExtraHop, the Health Assessment Agent Skill has a complete view of every asset, identity, and transaction across your hybrid environment. Whether it is on prem, in the cloud, or in containers, ExtraHop gives your agents the high fidelity proof they need to make defensible recommendations and decisions.
We are helping organizations move from hours to seconds in their MTTI (mean-time-to-innocense) and MTTR (mean-time-to-resolution). By automating the manual workflows, you empower your engineers to shift their focus from firefighting to proactive strategy.
A recent customer success story
Shortly after downloading the ExtraHop MCP Server, a major manufacturer validated a 12x improvement in troubleshooting speed. A complex latency issue with a web app that originally took a team 12 hours to solve was completed by an engineer and the AI in one hour. The AI reached conclusions on likely application-layer culprits significantly faster, cutting through noise and correlating ExtraHop data with packet captures for executive-ready reports.
The shift to an agentic NOC is not just about adopting new tools, it is about a new way of operating. With the IT Ops Health Assessment Agent, you are not just monitoring the network, you are empowering it to anticipate, adapt, and act.
Get the skill
The skill, along with tool call interfaces (an MCP server and CLI) for querying ExtraHop RevealX metrics directly and running the report outside of a chat interface, is available now in our GitHub repository.
Download the ITOps Health Assessment Skill here. https://github.com/ExtraHop/agent-skills

Senior Product Marketing Manager
Alexis is a Senior Product Marketing Manager at ExtraHop. She has been marketing cybersecurity and digital investigation products for the past 20 years focused on go-to-market strategy, new product launches, and content development.
Outside of work, Alexis enjoys volunteering for a teen mental health non-profit, traveling, and reading science fiction.
Follow Alexis on LinkedIn: https://www.linkedin.com/in/arobbins/
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Key Takeaways
- By operationalizing an Agent NOC you can:
- Shift from reactive to proactive using the new ITOps Health Assessment skill
- Learn how to achieve context-aware troubleshooting at machine speed
- Benefit from significant efficiency gains to reduce MTTI and MTTR








