BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
39.1%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Information Security Engineers
They protect computer systems from hackers by creating and managing security measures to keep important information safe.
This role is evolving
The career of information security engineers is labeled as "Evolving" because AI is taking over many repetitive tasks like monitoring networks and detecting intrusions, which can reduce the need for humans to do this part of the job. However, there are still opportunities for engineers to focus on more complex and creative work, like planning defenses and understanding new types of cyberattacks, which AI can't handle alone.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of information security engineers is labeled as "Evolving" because AI is taking over many repetitive tasks like monitoring networks and detecting intrusions, which can reduce the need for humans to do this part of the job. However, there are still opportunities for engineers to focus on more complex and creative work, like planning defenses and understanding new types of cyberattacks, which AI can't handle alone.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Changing fast21.3%
21.3%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
8.2%
Growth Percentile:
88.4%
Annual Openings:
31,300
Annual Openings Pct:
75.5%
Analysis of Current AI Resilience
Info Security Engineer
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Today’s security engineers use many AI tools to help protect networks. AI and machine learning can now scan huge amounts of data (like network logs or emails) to spot threats much faster than a person [1]. Industry surveys report that around half of routine security tasks could be automated [2].
For example, AI is already used for monitoring networks, detecting intrusions, and scanning for vulnerabilities [3]. These tools can also write or suggest rules for security systems; one report found AI cutting analysts’ workloads by about 20–25% on some tasks [4]. In short, AI is a useful assistant.
At the same time, humans are still very important. Experts point out that AI mostly handles repetitive work, while people handle the tricky parts. Most security leaders say human analysts are still better at understanding context and explaining risks than AI alone [5].
Skills like talking to teammates, thinking creatively about new attacks, and being detail-oriented are things computers can’t do as well [6] [5]. In practice, AI tools flag issues and gather data, but security engineers review those alerts and decide what to do. In this way, AI augments engineers – making their work faster – but doesn’t replace the need for human judgment.
Sources
AI in the real world
Adopting AI tools in security is happening but unevenly. Big companies have started investing heavily, since cyberattacks are very costly (the average breach now costs over \$4 million [1]) and good security experts are in short supply [4]. For example, one survey found about 22% of organizations already put most of their security budget into AI solutions, and 30% of teams are actively using AI tools [5] [3].
Having AI do the “boring work” of sorting alerts or triaging vulnerabilities can save money and let engineers focus on harder problems.
On the other hand, many teams move slowly at first. Installing AI systems can be expensive and tricky, and nearly 40% of security teams say they don’t yet have the skills to use AI safely [5]. There are also real concerns: companies worry about leaking sensitive data into AI models, and about attackers using AI too [1] [4].
Because of these issues, adoption tends to be cautious. In one 2025 study, 44% of security pros said AI didn’t threaten hiring, and 28% even said AI tools were creating new entry-level roles [3]. This suggests that, overall, organizations see AI as a tool to help the team rather than replace it.
Sources
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More Career Info
Career: Information Security Engineers
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Employment & Wage Data
Median Wage
$108,970
Jobs (2024)
472,000
Growth (2024-34)
+8.2%
Annual Openings
31,300
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
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