AI for Network Leaders — Powered by Selector

Join us in NYC on March 25th

AI for Network Leaders — Powered by Selector

Join us in NYC on March 25th

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From Detection to Resolution: How Selector + Itential Deliver AI-Driven Observability and Automated Recovery

Every second counts when it comes to detecting, diagnosing, and resolving network incidents, yet many teams still find themselves stuck in reactive mode, drowning in alerts, manually writing scripts, and managing tickets across disconnected systems. This is where Selector and Itential come in. 

Together, Selector and Itential deliver a powerful, enterprise-ready solution that closes the loop between detection and action. Real-time observability, paired with policy-driven automation, enables the instant resolution of incidents with no manual intervention. 

For a closer look at the integration, view our webinar, “From Insight to Impact: Closing the Loop on Network Ops with Selector and Itential” featuring Selector’s Head of DevRel, John Capobianco, and Itential’s Director of Tech Evangelism, William Collins. 

AI-Driven Observability Meets Automated Remediation

The Selector + Itential integration creates a closed-loop, event-driven workflow designed for modern infrastructure teams. Here’s how it works: 

  • Selector detects the issue: Our platform ingests telemetry, logs, metrics, and events from across your environment, using AI and machine learning to correlate anomalies, identify root causes, and trigger automated workflows. 
  • Itential launches remediation: Itential’s platform receives the trigger and executes a policy-based remediation workflow – automatically validating, enforcing policies, and tracking every step along the way. 
  • End-to-end automation: Whether it’s resetting a port, updating a config, or spinning up additional resources, Itential ensures that changes are validated and documented, with no human lag or guesswork. 

This is observability and automation working in sync – from detection, to decision, to deployment. 

five step workflow showing a violation being detected by Selector, the alert getting sent to Itential, the automated remediation process, and a final verification on the Selector platform.

A Real-World Example: Automated Port Reset

Imagine a scenario where a critical port goes down: 

  1. Selector detects the anomaly, correlates it with related events, and identifies the failed port. 
  2. Itential is triggered via API, launching a predefined workflow. 
  3. A ServiceNow ticket is automatically created, maintaining the integrity of your ITSM processes. 
  4. Itential enriches data from inventory sources like NetBox, runs pre-checks, and validates the failure. 
  5. Automated remediation is executed (e.g., the port is reset). 
  6. Post-checks confirm success, updates are synced, and the ticket is closed. 
  7. Selector and Itential maintain complete visibility, ensuring the issue is resolved completely. 

All of this happens without a single manual script, ticket update, or context switch – dramatically reducing mean time to resolution (MTTR). 

Why Enterprises Trust Selector + Itential

  • AI-driven event detection: Turn noisy alerts into clear, actionable root causes. 
  • Closed-loop automation: Automated, policy-driven fixes with full validation and audit trails. 
  • Faster MTTR: Move from hours of investigation to seconds of resolution. 
  • Seamless integration: Built to work with your existing toolchain – ServiceNow, NetBox, APIs, and more. 
  • Scalable for complex environments: Designed for carrier-grade and large enterprise networks. 

Built for Modern Infrastructure

Whether you’re running large enterprise IT, telco networks, or hybrid cloud environments, Selector and Itential give you the tools to shift from reactive firefighting to proactive, automated operations. With this joint solution, you can detect issues in real-time, trigger automation instantly, validate and track every action, and resolve incidents before users are even aware of them. 

Discover how Selector and Itential can help your organization move from detection to resolution in real time. View the webinar today. 

To stay up-to-date with the latest news and blog posts from Selector, follow us on LinkedIn or X and subscribe to our YouTube channel.

More on our blog

Beyond the Dashboard: Selector’s Patented Approach to Conversational Observability

For years, IT operations teams have been trapped in a frustrating paradox: the data they need to solve critical issues is right at their fingertips, yet entirely out of reach. Accessing it requires engineers to master complex, platform-specific query languages, dig through endless layers of dashboards, and hunt for the exact visualization that holds the answer. Under the intense pressures of modern speed, scale, and complexity, this rigid model is breaking down. At Selector, we recognized a fundamental opportunity to change how teams interact with their data. Our recently published U.S. patent application (US20250278401A1, filed March 2, 2024, and published September 4, 2025), titled “Dashboard metadata as training data for natural language querying,” outlines a transformative solution. By utilizing dashboard metadata, aliases, and user interaction data as training material, we empower operators to bypass structured queries entirely and obtain infrastructure insights using plain, natu

The Business Case for AI-Driven Observability in Network Operations

Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight. That is why AI-driven observability has become such an important priority for IT and operations leaders. Its value comes from helping teams move through complex environments with greater clarity. Correlated signals, contextual awareness, and shared operational understanding help teams identify issues faster, coordinate more effectively, and resolve incidents with greater confidence. For business leaders, the conversation is increasingly practical. They want to understand how observability investments contribute to uptime, team productivity, op

Solving the Ticket Noise Problem: What We Learned from Our ServiceNow Webinar

On March 18th, we hosted a session focused on a challenge that continues to undermine even the most mature IT operations teams: ticket noise.  It’s easy to dismiss noise as just “too many alerts”. But as we explored in the webinar, the real issue runs deeper. Ticket noise is a symptom of something more fundamental — a lack of correlation, context, and shared visibility across the stack.  If you weren’t able to attend, this blog walks through the key ideas, examples, and takeaways. And if any of this feels familiar, it’s worth watching the full session.  View “Solving the Ticket Noise Problem: Bringing Intelligence to ServiceNow”.  The Hidden Cost of Tickets Most organizations don’t struggle because they lack monitoring. In fact, the opposite is true — they have too much of it. Over time, teams adopt specialized tools for every layer of the environment: Each tool does its job well within its domain, but incidents don’t respect those boundaries. As discusse

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