Will AI replace Digital Forensics Analysts?
Estimated risk score: 77 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (58 to 96).
For the occupation as a whole, from ratings of its 20 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 15-1299.06 · Computer and Mathematical
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 15 of its 20 rated tasks; the first 6 are shown. In O*NET’s words.
- Duplicate digital evidence to use for data recovery and analysis procedures.
- Recover data or decrypt seized data.
- Write and execute scripts to automate tasks, such as parsing large data files.
- Write cyber defense recommendations, reports, or white papers using research or experience.
- Write reports, sign affidavits, or give depositions for legal proceedings.
- Write technical summaries to report findings.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 20 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Conduct investigations on computer-based crimes establishing documentary or physical evidence, such as digital media and logs associated with cyber intrusion incidents. Analyze digital evidence and investigate computer security incidents to derive information in support of system and network vulnerability mitigation. Preserve and present computer-related evidence in support of criminal, fraud, counterintelligence, or law enforcement investigations.
Also called: Cyber, Digital Analyst, Cyber Threat Hunter, Digital Investigator, Digital Cyber Analyst, Digital Media Analyst, Legal Digital Analyst, Cyber Digital Forensics.
Closest jobs we score by hand
In the same field (Computer and Mathematical). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate