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Automation Risk Analysis

Will “Cybersecurity Engineer (Cyber)” be Automated?

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AI Exposure Risk

43%

“Cybersecurity Engineer (Cyber)” will probably not be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 43% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

1%

“Cybersecurity Engineer (Cyber)” will not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 1% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Digital Forensics Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: 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.

Job Title & Hierarchy Code (SOC) Digital Forensics Analysts #15-1299.06
ℹ️

Data is based on the reference occupation: “Digital Forensics Analysts”

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Core Skills & Abilities

  • Duplicate digital evidence to use for data recovery and analysis procedures.

  • Adhere to legal policies and procedures related to handling digital media.

  • Maintain knowledge of laws, regulations, policies or other issuances pertaining to digital forensics or information privacy.

  • Write technical summaries to report findings.

  • Recommend cyber defense software or hardware to support responses to cyber incidents.

  • Conduct predictive or reactive analyses on security measures to support cyber security initiatives.

  • Preserve and maintain digital forensic evidence for analysis.

  • Recover data or decrypt seized data.

  • Identify or develop reverse-engineering tools to improve system capabilities or detect vulnerabilities.

  • Write cyber defense recommendations, reports, or white papers using research or experience.

  • Write and execute scripts to automate tasks, such as parsing large data files.

  • Write reports, sign affidavits, or give depositions for legal proceedings.

  • 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.

  • Develop plans for investigating alleged computer crimes, violations, or suspicious activity.

  • Perform file signature analysis to verify files on storage media or discover potential hidden files.

  • Maintain cyber defense software or hardware to support responses to cyber incidents.

  • Develop policies or requirements for data collection, processing, or reporting.

  • Analyze log files or other digital information to identify the perpetrators of network intrusions.

  • Create system images or capture network settings from information technology environments to preserve as evidence.

Technologies & Software

  • Intrusion detection system IDS
  • Apple iOS
  • Perl
  • Hypertext markup language HTML
  • Claude (Anthropic)
  • Splunk Enterprise
  • Microsoft PowerPoint
  • Google Antigravity
  • C++
  • Perplexity AI
  • Single sign-on SSO
  • Bash
  • Bolt.new
  • Microsoft PowerShell
  • Firewall software
  • Microsoft Defender Antivirus
  • IBM Terraform
  • Network directory services software
  • Microsoft Active Directory
  • MITRE ATT&CK software
  • Structured query language SQL
  • Microsoft Excel
  • Tenable Nessus
  • Management information systems MIS
  • OpenVAS
  • Operating system software
  • Kali Linux
  • Kubernetes
  • Slack
  • Border Gateway Protocol BGP
  • Geographic information system GIS systems
  • Web server software
  • C#
  • Amazon Simple Storage Service S3
  • Extensible markup language XML
  • Gemini Code Assist
  • Enterprise application integration EAI software
  • JavaScript
  • Oracle Java
  • GitHub Copilot
  • Microsoft Windows Server
  • Computer forensic software
  • UNIX
  • Snort
  • Cisco Systems Cisco NetFlow Collection Engine
  • ServiceNow
  • Metasploit
  • AccessData FTK
  • R
  • Microsoft Azure software
  • Amazon Web Services AWS software
  • IBM QRadar SIEM
  • System testing software
  • Mistral AI (chat/models)
  • Codeium
  • Go
  • Ruby
  • C
  • Ansible software
  • v0 by Vercel
  • Tabnine
  • Microsoft Access
  • Microsoft Windows
  • PHP
  • Apple macOS
  • Platform as a service PaaS
  • Graphical user interface GUI design software
  • Guidance Software EnCase Enterprise
  • Linux
  • Amazon CodeWhisperer
  • Devin (Cognition AI)
  • Cursor AI
  • Portswigger BurP Suite
  • Python
  • Google Workspace software
  • Security assertion markup language SAML
  • Microsoft Office software
  • Lovable.dev
  • Wireshark