How a Fortune 500 Global Manufacturer Scaled Its SOC with Prophet AI

The Problem

This Fortune 500 industrial manufacturer operates a complex, multi-segment global environment spanning defense, commercial, and specialty operations. With manufacturing facilities, corporate offices, and field operations distributed worldwide, its Security Operations team is responsible for protecting a broad attack surface across diverse business units, each with distinct compliance requirements and risk profiles.

The SOC faced a familiar scaling challenge: alert volume was growing faster than headcount. The security team was spending significant cycles manually triaging and investigating alerts that ultimately turned out to be benign, while higher-priority signals risked getting lost in the queue. With a global manufacturing footprint, the team couldn't afford gaps in coverage or delayed response times that might allow an adversary to establish persistence or move laterally across segments.

The organization needed a way to multiply its SOC capacity without proportionally increasing headcount, and without introducing another tool that would add complexity without returning real investigative value.

The Solution

An agentic AI SOC platform that tirelessly investigates and responds to potential threats like your best analyst

The organization deployed Prophet Agentic AI SOC Platform to absorb investigation volume across its security stack. Rather than summarizing or enriching alerts for human review, Prophet AI conducted full autonomous investigations, gathering evidence across multiple sources, correlating signals, and reaching a determination of benign, malicious, or inconclusive for each alert.

Prophet AI provided investigation notes directly into the existing workflow, closing benign investigations automatically and escalating malicious and inconclusive findings into a dedicated review queue with full audit trails and recommended next steps. Analysts could validate and act on escalated findings without rebuilding context from scratch.

The team used Prophet AI's Guidance system to encode organizational context, teaching the platform how to interpret activity specific to their environment, such as distinguishing expected cross-segment network traffic from anomalous lateral movement between business units.

The Results

10,000 investigations completed in six months

Prophet AI investigated 10,000 unique alerts during its first six months in production, each of which would have otherwise required manual analyst effort. At the current trajectory, the platform is projected to complete over 20,000 investigations in its first year.

~6,667 hours of analyst time returned annually

At 20 minutes per manual investigation, each alert Prophet AI completes autonomously represents time an analyst would have spent pivoting across tools, pulling enrichment data, and building an investigative timeline. Projected to 20,000 investigations per year, that translates to roughly 6,667 hours of investigation work absorbed by Prophet AI. Using standard analyst capacity assumptions (one analyst completing ~4,200 investigations per year at 5.6 hours of investigation work per day), that's the equivalent of approximately 4.8 full-time analysts dedicated solely to alert investigation.

71% noise reduction

Of all alerts ingested, 71% were autonomously resolved by Prophet AI as benign with no analyst involvement required. This freed the team to focus on the escalated findings that required human judgment rather than spending cycles re-confirming what was already safe.

812 confirmed malicious alerts surfaced

Prophet AI escalated 1,100 alerts as malicious and 1,800 as inconclusive for analyst review. Of those, 812 were confirmed malicious by the customer's own team. These weren't buried in a backlog of thousands. They were investigated, prioritized, and delivered with full context, giving the team a clear line of sight to the threats that mattered most.

Under 4.5 minutes from alert to investigated

Prophet AI's mean time to investigate was 4 minutes and 21 seconds, well under the average attacker's 48-minute breakout time. This speed advantage gives the team a meaningful window to act before adversaries can move laterally or establish persistence.