Operations | Monitoring | ITSM | DevOps | Cloud

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.

Discover how the Ivanti Neurons platform delivers a unified, AI-powered enterprise service management experience — from asset management and incident resolution to governance, risk, and compliance.

When a malicious package is first published, threat intelligence sources haven't flagged it yet – and every team pulling from a public registry is exposed during that entire window. The fix isn't faster scanning; it's a policy that holds new packages for a defined cooldown period before they're eligible to pull. By the time the window closes, the threat intelligence has caught up. Teams pulling direct from npm or PyPI have no equivalent enforcement layer – which is exactly how attacks like Shai-Hulud got in.

Enterprise AI adoption is accelerating, but are organizations actually solving business problems or just adding more tools? In this episode of Agents of IT, Fran Fernandez (Chief Product Officer at Resolve) and Zach Austin (Director of Product Marketing) explore one of the biggest challenges facing enterprise IT in 2026: AI tool sprawl. They discuss why many organizations struggle to demonstrate ROI from AI investments, how disconnected AI assistants create operational complexity, and why orchestration, automation, and context have become the real differentiators for enterprise AI success.

95% of Companies See No AI ROI. Here's Why | AI Tool Sprawl Explained 88% of companies are using AI, yet 95% report no measurable ROI. In this short from Agents of IT, we discuss why AI tool sprawl, poor workflow design, and lack of orchestration may be preventing enterprises from realizing the value of AI.

n-able.com In this release roundup, Jason Murphy, UEM Head Nerd at N‑able, walks through what is new in N‑central 2026.2 and how these updates help IT teams work smarter, respond faster, and strengthen security without adding complexity. This release focuses on meaningful improvements across AI‑assisted operations, filtering accuracy, and security visibility, all designed to reduce manual effort and improve confidence for IT teams.

Discover what's new in N-central 2026.3. This release focuses on helping IT teams operate more efficiently at scale with improvements to performance, filtering, agent management, security, and integrations. From faster device filtering and rule validation to enhanced agent upgrade workflows and stronger security controls, N-central 2026.3 delivers meaningful improvements designed to simplify day-to-day operations and improve platform reliability.

In this session, we will introduce the third dimension of network monitoring: behavioral intelligence built into the Progress WhatsUp Gold network monitoring solution. Where other tools, like SolarWinds and PRTG, require multiple modules, complex rule-writing, integrations or additional overhead, the WhatsUp Gold solution uses AI-driven behavioral analysis to automatically baseline what’s normal in your network and unveils deviations early.

PagerDuty’s monthly drops are here! July’s drop delivers AI Orchestrations (Generally Available), Runbook Automation/Rundeck 6.0 (GA forthcoming), Dedicated Incident Channels in Slack (GA), and PagerDuty agent app in GitHub Agent HQ (Early Access).

PagerDuty's agent app shows live incident state, incident history and change correlations inside GitHub so you can get context right within your PR without interrupting your flow. Automatically correlate incident data with recent commits and deployments to identify root causes, then generate fix PRs with proper incident linking.#IncidentResponse.