AI Can Detect the Threat. Humans Still Have to Decide What It Means
The pitch is simple: models triage faster than people, so the SOC should shrink. That pitch collides with how incidents actually start and how they end. Verizon’s 2025 Data Breach Investigations Report still put a human element in 60% of breaches. Stolen credentials were the most common initial-access path, at 22%. Phishing accounted for 16%. Those are not model-scoring problems. They are decisions under incomplete information, inside a business that will not pause while a classifier finishes its next token.
AI is already inside detection, enrichment, and ticket drafting. That is real work. It is not the same work as deciding whether to isolate a revenue system or not. Those are different jobs.
What the models do well, and what they do not
Machines are now exceptionally good at processing security telemetry at a scaleno human team could match. Correlation across SIEM, EDR, identity, and cloud logs is cheaper...
Copyright of this story solely belongs to cloudtweaks.com. To see the full text click HERE
