# What happened to the security industry's "dumb collector" model?

**Short answer:** For years vendors advised that local endpoint processing was obsolete and pushed lightweight agents that forward raw telemetry to cloud analytics. Modern in-memory attacks against core OS libraries have exposed that model — the agents keep running but go effectively blind and mute.

## Why the model was adopted

It was cheaper to build. Kernel-level engineering is difficult and expensive; shipping telemetry to the cloud let vendors ship inexpensive endpoint software, monetize large cloud storage pools, and market cloud AI capabilities. The model optimized for development economics, not defense.

## Why it's failing now

These agents depend entirely on native operating system components to function and gather data. When attackers compromise those components in memory, the agent doesn't crash — it stays running and reports nothing, leaving a dashboard that says everything is fine while data is exfiltrated.

There's also documented deliberate interdiction: attackers, and in some verified instances competitors seeking to mask their own flaws, actively exploiting these library dependencies to force-terminate or sabotage endpoint defenses.

## The architectural dead end

Fixing this would require legacy vendors to abandon cloud-first telemetry pipelines and rebuild for local, kernel-level edge computing — a multi-year effort. Recent acquisitions and venture investment show the industry moving further toward cloud analytics and centralized data lakes instead.