Everyone's talking about the superior detection rates and the shiny AI of the new EDR platforms, and I've seen the usual suspects lining up to champion SentinelOne after moving from legacy systems like Carbon Black. Having just completed a two-year total cost of ownership analysis post-migration, I feel compelled to share some of the harder, less-discussed data that didn't make it into the vendor's sales deck or the initial case studies.
First, let's address the direct costs. The per-endpoint license cost for SentinelOne was indeed marginally lower, which is the headline most finance committees see. However, the real expenditure began with the migration and operational shift. Carbon Black had been deeply integrated into our workflows: custom dashboards, automated response playbooks tied to our SIEM, and a mountain of legacy detection rules that simply do not translate. Rebuilding that institutional knowledge and tooling required approximately 1,200 person-hours of our senior security engineers' time, which at a conservative blended rate, added a six-figure sum to the first-year cost. The training burden for the SOC, who had to learn a new query language and a completely different console logic, represented another significant productivity dip that lasted for months.
Now, on to the alert data, which is where the "better detection" narrative gets interesting. Yes, SentinelOne generated more alerts. Specifically, 40% more raw alerts on a weekly basis compared to our tuned Carbon Black deployment. But raw volume is a useless metric. The critical finding was in the signal-to-noise ratio. While Carbon Black's alerts were often noisier and required more manual review, a significant portion of SentinelOne's increased volume was from its own class of low-fidelity "behavioral" alerts—things like "scripting engine detected" or "suspicious module load"—that, in our environment, were almost always benign administrative activity. We essentially traded one type of noise for another. The true, actionable "high severity" alert count remained statistically unchanged, though the nature of the threats flagged did differ.
This leads to the lock-in concern that nobody wants to discuss during the buying phase. SentinelOne's strength is its tightly integrated, proprietary stack. That's also its greatest trap. Their storytelling feature, while visually impressive, creates a black box. You follow their breadcrumbs, not your own. Attempting to extract raw, normalized logs for our own data lake was a contractual and technical fight. The platform is designed to keep you inside it, making future migrations even more painful than this one was. With Carbon Black, for all its warts, we felt a greater degree of control over the raw data and could pipe it elsewhere with less friction.
The operational takeaway isn't that one product is universally better than the other. It's that a migration of this scale is a multi-year financial and operational commitment that resets your security debt to zero. You are paying not just in licensing, but in lost expertise, retraining, and re-integration. The promised land of "set it and forget it" AI-driven security didn't materialize; we still have a full team of detection engineers, now dedicated to tuning and understanding a new system. Before you jump on the next-generation EDR bandwagon, build a realistic model that factors in the total cost of ownership, not just the sticker price, and be deeply skeptical of any vendor claiming you'll need fewer resources to manage it.
Just my two cents
Skeptic by default