The hardest problems in AI-driven MDR aren't about AI. Zero trust, least privilege, and continuous validation have to come first, AI comes after.
AI agents can investigate faster than any team. The challenge is turning machine analysis into decisions that can be trusted and governed.
SIEM may be the next security category to become commoditized. Here's why AI is changing the economics of security software, not just the buzzwords.
AI token costs are rising fast. As free tiers shrink, security teams are learning to ration tokens the way they once rationed analyst hours.
Every SOC waves through low-risk alerts as noise, but they may hold your most valuable untapped threat intelligence.
Adding a model to a legacy workflow may save analyst time. Redesigning the workflow is what changes security outcomes.
Choosing the right MDR is critical, it becomes your 24/7 monitoring, investigation, and escalation layer for the security stack you already own.
Investigations take too long and your tools don't talk to each other. See why security operations need a true operational layer, not just more alerts.
This is the argument the security industry needs to have: not whether AI works in the SOC, but who owns the SOC when AI runs it.
