AI Is Supercharging Surveillance Across Companies, Criminals and Governments

· Original article ↗

Summary

The article surveys surveillance by companies, employers, criminals and governments, arguing AI expands data collection and inference. It highlights infostealers’ theft of credentials and session tokens, risks from data aggregation, and concerns about bias, privacy and

Key points

  • The article describes infostealers collecting credentials, session cookies and tokens, browser artifacts and other data; the resulting stealer logs are sold to initial access brokers.
  • KELA reportedly found that 4.3 million devices were infected by infostealers in 2024.
  • The article warns that AI can combine data from multiple sources to infer sensitive traits, with commentators raising concerns about bias and false positives.
  • The article says Flock camera data is shared with law enforcement and homeowners associations; ACLU Oregon warned the data could reveal sensitive visits and associations.
  • Workplace monitoring may include endpoint activity, login times, webcam use and keystroke analysis; a security executive distinguishes cybersecurity monitoring from psychological profiling.
  • One expert recommends logging AI agents’ tool calls and interactions, monitoring agent activity, and erasing records once activity is shown to be benign and retention requirements are met.

Article Details

Topic
Surveillance and the privacy, security, and accountability risks of AI-enabled data collection and analysis

People

Vendors

Products

Countries

Industries

Related Articles