---
title: "2026 Security operations insights"
page_name: "2026 Security operations insights"
type: "resource"
slug: "ep-27-2026-security-operations-insights"
published_at: "2026-01-28"
modified_at: "2026-06-16"
url: "https://www.sumologic.com/podcast/ep-27-2026-security-operations-insights"
canonical: "https://www.sumologic.com/podcast/ep-27-2026-security-operations-insights"
markdown_url: "https://www.sumologic.com/podcast/ep-27-2026-security-operations-insights.md"
lang: "en"
excerpt: "On this episode of Masters of Data, we dive into our 2026 Intelligent Security Operations report. While 90% of 500+ security leaders see AI/ML cutting alert fatigue, actual implementation remains stuck at basic anomaly detection—not the full automation everyone wants...."
taxonomy_resource_type:
  - "Podcast"
taxonomy_resource_solution:
  - "SecOps and Security"
---

[ All Podcasts ](https://www.sumologic.com/resources?_resource_type=podcast)# 2026 Security operations insights

### Adam White

Sr. Director, Technical Marketing

### David Girvin

Lead Technical Advocate

### Zoe Hawkins

Director, Content Marketing

Speakers

On this episode of Masters of Data, we dive into our 2026 Intelligent Security Operations report. While 90% of 500+ security leaders see AI/ML cutting alert fatigue, actual implementation remains stuck at basic anomaly detection—not the full automation everyone wants. The gap is real: only 51% say their SIEM effectively reduces detection and response times, exposing serious maturity issues. Add rampant tool sprawl (most orgs run 3-10+ security tools that don’t communicate), and you’ve got an integration nightmare. We explore how Model Control Protocol and AI agents could solve this, but here’s the truth: AI won’t fix poorly configured systems. As threats evolve, security teams need to get smarter about deploying what they already have.

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