Digital Forensics Analysts

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.5), with simple added tooling (β 0.7), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 20 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

• 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.
• Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends.
• Preserve and maintain digital forensic evidence for analysis.
• Recommend cyber defense software or hardware to support responses to cyber incidents.
• 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.

Work activities

• Monitor the security of digital information.
• Examine records or other types of data to investigate criminal activities.
• Analyze security of systems, network, or data.
• Compile technical information or documentation.
• Plan production or operational procedures or sequences.
• Establish operational policies.
• Record images needed to address work issues.
• Identify information technology project resource requirements.
• Develop technical methods or processes.
• Maintain computer equipment or software.
• Maintain knowledge of laws or regulations.
• Analyze traffic data.
• Maintain records, documents, or other files.
• Provide recommendations to others about computer hardware.
• Recommend changes to improve computer or information systems.
• Translate information for others.
• Write computer programming code.
• Enter codes or other information into computers.
• Write reports or evaluations.
• Testify at legal or legislative proceedings.

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

• Linux Specialized Skill
• Unix Specialized Skill
• ServiceNow Specialized Skill
• Microsoft Windows Common Skill
• Microsoft PowerPoint Common Skill
• Microsoft Excel Common Skill
• Microsoft Access Specialized Skill
• Kubernetes Specialized Skill
• Apple IOS Specialized Skill
• Wireshark Specialized Skill
• OpenVAS Specialized Skill
• Metasploit Specialized Skill
• Kali Linux Specialized Skill
• Presentation Software Specialized Skill

Tools & technology

Showing the top 40 of 64.

How to get in

Job zone

Zone 4 — Job Zone Four: Considerable Preparation Needed

Education

Most of these occupations require a four-year bachelor's degree, but some do not.

Typical entry-level education

Bachelor's degree · BLS, the typical path — not a requirement

Related experience

A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.

Preparation level

SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Biological and Biomedical Sciences , Computer and Information Sciences and Support Services , Health Professions and Related Programs , Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Multi/Interdisciplinary Studies , Physical Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Interest areas

Career interests (Holland / RIASEC)

Wages & employment

U.S. · annual wages (BLS OEWS)

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 15-1299), not for the specialty alone.

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Related occupations

Part of the Digital Technology and Public Service & Safety career clusters.

• Information Security Analysts · 15-1212.00 Compare →
• Information Security Engineers · 15-1299.05 Compare →
• Intelligence Analysts · 33-3021.06 Compare →
• Penetration Testers · 15-1299.04 Compare →
• Security Management Specialists · 13-1199.07 Compare →
• Security Managers · 11-3013.01 Compare →
• Computer Systems Analysts · 15-1211.00 Compare →
• Forensic Science Technicians · 19-4092.00 Compare →
• Business Intelligence Analysts · 15-2051.01 Compare →
• Document Management Specialists · 15-1299.03 Compare →
• Computer Network Support Specialists · 15-1231.00 Compare →
• Computer and Information Systems Managers · 11-3021.00 Compare →

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Digital Forensics Analysts — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

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
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
• Microsoft “Working with AI” working-with-ai Microsoft Research
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-role-15-1299-06,
  title  = {Digital Forensics Analysts},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-15-1299-06}
}