The modern SOC is broken. Analysts are overwhelmed, alerts go uninvestigated, and the industry is racing to layer AI on top of a foundation that was never built to support it.
Before any organization spends a dollar on AI tooling, it needs an honest picture of where it actually stands. This research delivers that picture through a structured readiness assessment that evaluates security operations across four domains: data, logic, workflow, and policy. For each domain, it identifies the specific gaps that would cause an AI deployment to fail, and recommends whether those gaps are faster to fix internally or through a managed provider.
The output is a confident, defensible build or buy decision that stops organizations from making the most expensive mistake in security technology: deploying a high-performance agent against broken foundations, and paying twice to fix the problems they should have caught before they started.