Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends.

“Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends.” is a task performed by Digital Forensics Analysts. Among the occupation's 20 rated tasks, workers place it 8th by importance (#13 most important).

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Investigate criminal or legal matters. in Getting Information
• Analyze data to improve operations. in Analyzing Data or Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

Other tasks in this occupation

• Adhere to legal policies and procedures related to handling digital media.
• Analyze log files or other digital information to identify the perpetrators of network intrusions.
• Conduct predictive or reactive analyses on security measures to support cyber security initiatives.
• Create system images or capture network settings from information technology environments to preserve as evidence.
• Develop plans for investigating alleged computer crimes, violations, or suspicious activity.
• Develop policies or requirements for data collection, processing, or reporting.
• Duplicate digital evidence to use for data recovery and analysis procedures.
• Identify or develop reverse-engineering tools to improve system capabilities or detect vulnerabilities.
• Maintain cyber defense software or hardware to support responses to cyber incidents.
• Maintain knowledge of laws, regulations, policies or other issuances pertaining to digital forensics or information privacy.
• Perform file signature analysis to verify files on storage media or discover potential hidden files.
• Perform forensic investigations of operating or file systems.
• Preserve and maintain digital forensic evidence for analysis.
• Recommend cyber defense software or hardware to support responses to cyber incidents.

See all tasks on the Digital Forensics Analysts page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-21798,
  title  = {Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-21798}
}