A single endpoint generates a staggering volume of events — process launches, file operations, registry changes, network connections — thousands per minute, multiplied across a fleet of tens of thousands of machines. The data is where the evidence of an attack lives, but it's also a firehose, and the practical problem of endpoint security is less 'can we collect it' than 'can we make sense of it without grinding to a halt.'

The grant US11005860B1, "Method and system for efficient cybersecurity analysis of endpoint events" (issued May 11, 2021, assigned to FireEye, Inc.), addresses the efficiency question head-on. Its CPC classifications sit in the intrusion-detection classes H04L 63/1416 and H04L 63/1433, with H04L 43/12 for traffic monitoring — a system built to analyze endpoint telemetry at scale.

“A comprehensive cybersecurity platform includes a cybersecurity intelligence hub, a cybersecurity sensor and one or more endpoints communicatively coupled to the cybersecurity sensor, where the platform allows for efficient scaling, analysis, and detection of malware and/or malicious activity.”— U.S. Patent No. 11,005,860 source

The mechanism that matters is selectivity. The point of efficient analysis isn't to look at less data; it's to spend analytical effort where it's likely to pay off and to discard or summarize the overwhelming majority of benign noise cheaply. Done well, this lets a detection system run continuously across a large fleet without requiring impractical amounts of compute or generating an alert volume no human team could triage.

For defenders, the practical takeaway is that alert fatigue and infrastructure cost are not afterthoughts — they're central to whether a detection program actually works. A system that flags everything is functionally equivalent to a system that flags nothing, because the real signals drown. Efficiency is what makes detection operationally usable.

The patent is a reminder that a great deal of security engineering is really data engineering. The detective logic — what counts as suspicious — matters, but so does the unglamorous question of how to process billions of events fast and cheaply enough that the detective logic ever gets to run. That's the problem this grant is built to solve.