Strong • Senior-Level
Information Security Analyst.
Plan, implement, upgrade, or monitor security measures for the protection of computer networks and information. Assess system vulnerabilities for security risks and propose and implement risk mitigation strategies. May ensure appropriate security controls are in place that will safeguard digital files and vital electronic infrastructure. May respond to computer security breaches and viruses.
Example job titles
Why This Rating.
[01]This role is strong
Security analysts face an ever-evolving landscape of threats where attackers constantly find novel ways to breach systems-making genuine human judgment in ambiguous, high-stakes situations essential. They spend enormous amounts of time on alert triage and log review that AI will compress, letting them focus on the harder investigative and strategic work. As AI expands the digital attack surface and creates new threat vectors, demand for skilled humans who can direct and validate AI-powered security tools will grow substantially.
Risks & Opportunities.
[02]of cybersecurity teams reported layoffs in 2024[1]
AI-assisted SIEM platforms and automated triage tools are absorbing tier-1 alert monitoring — the traditional on-ramp into the field — compressing entry-level hiring pipelines [Anthropic / O*NET, Jan 2026]. Security policy documentation shows 41.2% automation in observed AI usage, a sign that AI is handling a real slice of the written output work in this role [U.S. Bureau of Labor Statistics, Sep 2025].
unfilled cybersecurity jobs globally in 2024[1]
Every security breach carries regulatory and legal consequences that organizations cannot delegate to automated systems — a structural floor under human accountability that AI amplifies rather than replaces [Anthropic / O*NET, Jan 2026]. The global cybersecurity workforce gap remains at 3.5 million unfilled roles, meaning practitioners who can direct AI-flagged threats and lead incident response are in sustained structural demand [U.S. Bureau of Labor Statistics, Sep 2025].
Observed AI Impact.
[03]No task-level AI data available
Not all tasks are affected equally. Knowing which ones AI handles well, and which still need a human, is how to focus skill-building.
AI hasn't figured these out
Low or no AI usage recorded for these tasks.
How to Adapt.
[04]Start using AI-assisted threat detection tools in your current environment -- SIEM platforms like Microsoft Sentinel and Splunk now ship with AI triage built in, and getting hands-on with those features is the fastest way to stay current. The ISC2 2024 Workforce Study found that 48% of security professionals are actively building AI-related skills, so the window to get ahead of the curve is narrow [ISC2, Oct 2024]. Over the next six months, build depth in threat hunting and incident response -- these are the tasks where AI still requires a human to contextualize attacker behavior, prioritize findings, and make judgment calls under pressure. The areas AI handles worst in this role are the investigative and governance tasks: determining whether an anomaly is a real threat, advising on policy, and communicating risk to non-technical stakeholders [CompTIA, Jan 2025].
“45% of cybersecurity teams have implemented generative AI into their toolbox, but over half have already faced data privacy and security concerns from organizational AI adoption. The analyst who understands both how to use AI and how to secure it is the one organizations need most right now.”
ISC2, 2024 Cybersecurity Workforce Study
“Nearly half of organizations currently lack a clear generative AI strategy, and 65% say they need to implement more regulations on the safe use of AI. For security analysts, that gap is not a threat -- it is the job. Governance, policy, and risk communication are exactly where human judgment is still required.”
ISC2, Research Insights: What Employers Need to Know About AI and the Cybersecurity Workforce
The entry credential that matters most right now is CompTIA Security+ or CySA+, combined with hands-on experience in a SIEM tool -- employers are looking for analysts who can work with AI-assisted detection systems, not just understand security theory. ISC2 research shows hiring managers now rank problem-solving and curiosity above technical certifications when evaluating candidates, which means a portfolio of real incident response work or a home lab with documented threat hunts will differentiate you more than credentials alone [ISC2, Nov 2024]. The cybersecurity job market remains strong -- over 514,000 U.S. job postings between May 2024 and April 2025 -- so the field is growing even as the work changes [CompTIA, Jan 2025]. Focus your learning on the intersection of AI and security: understanding how AI-powered attacks work and how to defend against them is the skill gap that will define the next five years.
“More than half of job postings for entry-level cybersecurity roles now reference AI competencies. The skills that matter are using large language models, evaluating AI outputs, automating tasks, and understanding AI-powered threats -- not just traditional network security fundamentals.”
CompTIA, State of Cybersecurity 2025
“Hiring managers prioritize problem-solving (31%) and curiosity (26%) over technical skills like cloud computing security (19%) or risk analysis (14%). Candidates who can demonstrate how they think through an unfamiliar threat scenario will stand out more than those who simply list certifications.”
ISC2, Research Insights: What Employers Need to Know About AI and the Cybersecurity Workforce
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StrongSources
0.Information Security Analyst Occupational Data- O*NET Online
- 1.Cybersecurity Workforce Study 2024- ISC2, Oct 2024
- 2.Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI- White House, Oct 2023