Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Info Security Analysts:
57.6%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forInformation Security Analysts
$129,180 median salary•14,100 annual openings•SOC Code: 15-1212.00
Information Security Analysts are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Information Security Analysts earn the "Mostly Resilient" label because AI is taking over the repetitive, time-consuming parts of the job (like sorting through alerts and monitoring networks) while humans remain essential for the higher-stakes decisions that really matter. The catch is that about 89% of security professionals have already caught AI making wrong recommendations, which means organizations still need sharp, skeptical humans to question the machine and stay accountable for outcomes.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is mostly resilient
Information Security Analysts earn the "Mostly Resilient" label because AI is taking over the repetitive, time-consuming parts of the job (like sorting through alerts and monitoring networks) while humans remain essential for the higher-stakes decisions that really matter. The catch is that about 89% of security professionals have already caught AI making wrong recommendations, which means organizations still need sharp, skeptical humans to question the machine and stay accountable for outcomes.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Info Security Analysts
Updated Quarterly
How is AI changing Info Security Analysts jobs?
If you're eyeing a cybersecurity career, here's the honest picture: AI is quickly taking over the repetitive parts of the job, but people are still very much needed. According to a July 2026 ISC2 survey of 856 cybersecurity professionals, AI is changing how much time analysts spend on various security tasks, and 28% of organizations had already integrated AI tools into their security operations, with another 19% actively testing them and 22% in early evaluation. Much of that automation targets exactly the "core tasks" listed for this role — AI is particularly reshaping the work of SOC analysts and incident responders, automating traditionally manual tasks like log correlation, alert triage and threat scoring, and respondents expect AI to deliver its fastest benefits in network monitoring, security operations, security testing, vulnerability management and threat modeling.
State governments echo this: Deloitte's 2026 NASCIO study [1] describes CISOs using AI for "automatic triaging of security alerts" and embedding it in SIEM/SOAR platforms. The good news is that human judgment still rules the higher-stakes tasks (conferring with users, coordinating rollouts, investigating violations): 89% of respondents have caught their AI making incorrect recommendations, and half of organizations hold human decision-makers entirely accountable for AI-driven mistakes.
Sources
How fast is AI adoption growing for Info Security Analysts?
Adoption is moving fast because the economics are compelling — attackers use AI too, and defenders are badly outnumbered. The SANS 2026 Cybersecurity Workforce Survey found [2] that AI is reducing manual analysis and automating routine tasks, and nearly three-quarters of organizations said AI has influenced team composition, with the most common changes being workflow automation and reduced manual analysis. But adoption also faces real brakes: trust, governance, and burnout.
Only 54% of respondents said they have AI security policies, only 38% provide comprehensive AI security training, and nearly one in four organizations have no AI governance plans, and Channel Insider reports [3] that roughly two-thirds of respondents spent more time reviewing AI data and deciding whether to trust AI recommendations, with 32% reporting a spike in anxiety from that validation work. The most reassuring finding for students: over half of participants (53%) believe AI is creating new types of entry-level roles, and nearly half (48%) said AI has made them feel more optimistic about their long-term careers in cybersecurity. In short — the boring parts get automated, but demand for curious, ethical humans who can question the machine is growing.
Sources
Will AI replace Info Security Analysts?
No. We don't think AI will replace Information Security Analysts, though we do expect the job to change.
Our 57.6% AI Resilience Score reflects a real tension: the repetitive parts of this work are already being handed off to machines, but the role itself is not going away. AI is automating log correlation, alert triage, and threat scoring at a rapid pace, and nearly half of organizations have already integrated or are actively testing AI security tools [2]. That is a genuine shift in what analysts spend their days doing.
What stays human is the part that matters most: judgment. Eighty-nine percent of cybersecurity professionals have caught AI making incorrect recommendations, and half of organizations hold human decision-makers fully accountable for AI-driven mistakes [3]. Investigating violations, coordinating responses, and questioning the machine are not tasks you can automate away. Roughly two-thirds of respondents already spend more time reviewing AI outputs and deciding whether to trust them [3], which means critical thinking is becoming more valuable, not less.
The demand picture supports this. Over half of survey participants believe AI is creating new entry-level roles, and nearly half feel more optimistic about their long-term cybersecurity careers [2]. Attackers use AI too, and defenders who can work alongside these tools will be in high demand for years to come.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Info Security Analysts
These articles highlight how AI is reshaping careers for Information Security Analysts. While AI won't fully replace cybersecurity professionals, it will enhance their roles, emphasizing the need for human expertise alongside AI tools. For instance, the SANS Institute notes that practitioners skilled in AI will be more valuable, indicating a shift in job requirements. Additionally, the Gartner article outlines steps for leaders to integrate AI into their cybersecurity strategies, suggesting that analysts who adapt will thrive. Embracing AI can lead to greater resilience and innovation in this evolving field.
AI Impact On Cybersecurity Jobs in 2025
cybersecurityventures.com • 7/14/2026
This week in cybersecurity from the editors at Cybercrime Magazine.
AI Cybersecurity Leadership: 5 Steps to Secure Enterprise Innovation
www.gartner.com • 5/7/2026
CISOs must lead a five-step journey to adapt cybersecurity strategies for AI, close security gaps and drive enterprise innovation.
Will AI Replace Cybersecurity Jobs in 2026?
www.spiceworks.com • 4/8/2026
Explore how AI is impacting cybersecurity jobs, roles, and skills. Learn what IT professionals should expect and how to adapt.
AI-related job cuts mostly hit entry-level roles, as AI skills become essential
www.scworld.com • 3/23/2026
Cybersecurity practitioners who use AI are likely to replace those who don't,” said SANS Institute CEO James Lyne.
Will AI Replace Cybersecurity? Here’s What We Know
www.wiz.io • 3/19/2026
Explore whether AI will replace cybersecurity professionals and learn why human expertise remains essential for security while AI enhances...
More Career Info
Career: Information Security Analysts
They protect computer systems by finding and fixing security problems to keep important information safe from hackers.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$129,180
Jobs (2025)
192,900
Growth (2025-35)
+21.0%
Annual Openings
14,100
Education
Bachelor's degree
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Review violations of computer security procedures and discuss procedures with violators to ensure violations are not repeated.
2
Coordinate implementation of computer system plan with establishment personnel and outside vendors.
3
Confer with users to discuss issues such as computer data access needs, security violations, and programming changes.
4
Train users and promote security awareness to ensure system security and to improve server and network efficiency.
5
Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs.
6
Perform risk assessments and execute tests of data processing system to ensure functioning of data processing activities and security measures.
7
Document computer security and emergency measures policies, procedures, and tests.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
