Discussion Topics
AI Automated Triage. The Response Gap Remains.
Your SOC processes more alerts than ever. Detection improved. But are you actually more secure?
The data reveals the challenge. Before AI, SOCs processed 200 alerts daily and made 50 decisions. Now AI handles 2,000 alerts, auto-closes 1,700, and escalates 300 requiring human judgment. You automated triage, but the decision burden tripled. Mean Time to Detect improved. Mean Time to Decision did not.
This research report examines why detection improvements created a response gap, and identifies what separates organizations achieving measurable risk reduction from those reorganizing the same workload.
Research Findings:
The report analyzes the 2025 security landscape across detection platforms, AI SOC solutions, and automation architectures. It introduces “Workflow Gravity” as the organizing principle replacing “Data Gravity” for security operations. Organizations that control remediation workflows will determine how security operations function in 2026.
The analysis maps where AI made progress in investigation and triage, and where critical execution gaps persist. It examines why SIEMs remain Systems of Record but failed to become Systems of Action, and why XDR platforms deliver automation only within walled gardens.
What You Will Learn:
- Why Mean Time to Decision (MTTD₂) becomes your critical metric beyond MTTR
- How to shift from monitoring coverage to execution coverage
- Which platform architectures close the response gap versus which create vendor lock-in
- Why controlling the remediation workflow determines security outcomes
- How to evaluate Agentic Security Operations Platforms for your environment
- What “Response Engineering” means for detection strategy and staffing models
Move your program from alert management to risk reduction.
Download the 2026 SecOps Report
