Security & Safety
Cyber Threat Intelligence Analysts
Low ExposureMedian wage $129,180
Read full reading on Cyber Threat Intelligence Analysts →
AI Exposure · 2026 Reading
Cyber Threat Intelligence Analysts vs Fraud Analysts AI Exposure
Two adjacent analytical titles in different security domains. Both face medium AI-exposure on routine work; threat intelligence retains a more durable adversarial-analysis layer.
Get Your Free Score
Free 10-minute assessment
The AI-exposure read
Cyber Threat Intelligence Analysts vs Fraud Analysts: which is more exposed to AI?
Fraud Analysts carries the steeper AI-exposure profile: 52/100 versus Cyber Threat Intelligence Analysts at 37/100. Cyber threat intelligence analysts carry weight on adversarial-actor analysis in cybersecurity contexts. Fraud analysts carry weight on transaction fraud, anti-money-laundering signals, and the financial-fraud investigation work.
Both reduce AI-exposure by moving into senior analyst, fraud-investigation, or specialist-research roles. The fundamentals overlap. Both work in analytical roles inside security or risk functions. So the gap between them is structural, not a difference of skill set. On pay, Cyber Threat Intelligence Analysts sit at $129,180 median in the United States; Fraud Analysts at $80,730. In both cases the durable move is the same: shift toward the judgment, accountability, and system-design work that current AI tooling cannot absorb.
Pay gap
$48,450
Cyber Threat Intelligence Analysts earn more (+60%)
Exposure gap
15 pts
Fraud Analysts more exposed
Lower-risk pick
Cyber Threat Intelligence Analysts
Lower automation exposure
Overlap and Divergence
Where Cyber Threat Intelligence Analysts and Fraud Analysts meet, and where they part
Shared traits show where lateral moves between the roles are most plausible and where the same durability strategies apply to both. Divergence points are the structural differences that change the migration paths, the durable skill sets, and the next-six-months moves.
What's the same
Shared structural traits
- Both work in analytical roles inside security or risk functions.
- Both face AI compression on routine alert triage and pattern-detection work.
- Both retain durability through specialist domain knowledge and senior analytical judgment.
What's different
Key divergence points
- Cyber threat intelligence analysts carry weight on adversarial-actor analysis in cybersecurity contexts.
- Fraud analysts carry weight on transaction fraud, anti-money-laundering signals, and the financial-fraud investigation work.
- Both reduce AI-exposure by moving into senior analyst, fraud-investigation, or specialist-research roles.
AI Exposure Spectrum
Where each role sits on the compression curve
The bar below maps the three risk zones AI Career Index uses. The marker for each role shows roughly where its routine-production layer falls under current AI tooling.
Cyber Threat Intelligence Analysts
Fraud Analysts
High exposure
Moderate
Low exposure
40 to 60% of routine tasks
20 to 40%
Under 20%
Inside the Work
What Cyber Threat Intelligence Analysts and Fraud Analysts actually do
The top task statements each role carries in the O*NET occupation database. The verbatim text comes from the US Department of Labor's structured occupational data, so the gap between these two lists is the structural gap between the two jobs as the labour market formally records them.
A typical week as
Cyber Threat Intelligence Analysts
A typical week for cyber threat intelligence analysts centres on the core work of the role: the day-to-day production work, the coordination with the people around it, and the judgment calls that the work demands. Tooling like Darktrace, CrowdStrike Falcon, SentinelOne now sits in the day-to-day workflow. The low-exposure reading reflects the role's reliance on judgment, licensure, accountability, or physical presence that current AI tooling cannot substitute.
A typical week as
Fraud Analysts
A typical week for fraud analysts centres on the core work of the role: the day-to-day production work, the coordination with the people around it, and the judgment calls that the work demands. Tooling like Hummingbird, Featurespace, NICE Actimize now sits in the day-to-day workflow. The medium-exposure reading reflects a split between substitutable production work and durable judgment-bearing work; where the role sits on that split decides whether it compresses or appreciates.
Security & Safety
Cyber Threat Intelligence Analysts
- Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs.
- Monitor current reports of computer viruses to determine when to update virus protection systems.
- Encrypt data transmissions and erect firewalls to conceal confidential information as it is being transmitted and to keep out tainted digital transfers.
- Perform risk assessments and execute tests of data processing system to ensure functioning of data processing activities and security measures.
- Modify computer security files to incorporate new software, correct errors, or change individual access status.
O*NET-SOC code · 15-1212.00
Security & Safety
Fraud Analysts
- Warn violators of infractions or penalties.
- Evaluate applications, records, or documents to gather information about eligibility or liability issues.
- Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations.
- Prepare reports of activities, evaluations, recommendations, or decisions.
- Report law or regulation violations to appropriate boards or agencies.
O*NET-SOC code · 13-1041.00
Day-to-Day Work Split
Where AI reaches Cyber Threat Intelligence Analysts and Fraud Analysts
The share of each role's tasks AI can speed up by at least half, on its own or with tools built on it, from the peer-reviewed study "GPTs are GPTs" (Science, 2024). The bigger the red and amber, the more exposed the role.
Cyber Threat Intelligence Analysts
22%
76%
2%
Fraud Analysts
45%
39%
16%
AI can do directly · Halves the time on its own
AI with tools · With software built on AI
Stays with people · No real speed-up
Role Profiles
Cyber Threat Intelligence Analysts and Fraud Analysts side by side
The high-level positioning for each role: category, AI exposure band, and median wage. Use this as the orientation point before reading the structural divergence below.
Also Known As
Alternate titles and US footprint
The alternate titles each role goes by in job listings, plus the size of each role's US labour-market footprint. Useful when the title on a job description does not match either role exactly: the alternate-title list shows which canonical role the listing actually belongs to.
Cyber Threat Intelligence Analysts
Job listings also call this
Cyber Defense AnalystCyber Security AnalystThreat Monitoring AnalystCybersecurity Threat AnalystCyber Intelligence SpecialistCyber Defense Forensics Analyst
US employment
190,650workers
Fraud Analysts
Job listings also call this
Licensing AnalystCompliance AnalystRisk and Compliance AnalystSecurity Compliance AnalystRegulatory Compliance AnalystIT Compliance Analyst (Information Technology Compliance Analyst)
US employment
417,070workers
Employment figures are from the US Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 release. BLS reports employment at the SOC-code level: roles sharing a SOC code share an employment count by definition.
The Verdict
Which one should you pick?
Most readers come here for an answer, not just a comparison. Here is the structural read on which role wins on durability, and which one wins on what each is best at.
For durability
Pick Cyber Threat Intelligence Analysts
Sits further from the routine-production layer AI tooling compresses fastest. The structural exposure is lower, the wage path is more defensible.
For shared skills
Lateral moves are real
Both work in analytical roles inside security or risk functions.
If you stay in Fraud Analysts
Migrate up the stack
Fraud Analysts face more exposure but retain durable migration paths into senior, accountability-bearing seats. The next 6 months of intentional moves matters more than years of tenure.
At-a-Glance Comparison
Cyber Threat Intelligence Analysts vs Fraud Analysts on the structural drivers
The dimensions that determine how the two roles diverge under AI: exposure band, US median wage, top durable skill, and the most relevant structural attributes. Each row is sourced from the role's full reading.
At-a-glance comparison
–
Cyber Threat Intelligence Analysts
Fraud Analysts
AI exposure score
37 /100
52 /100
Risk band (2026)
Low Exposure
Moderate Exposure
Real-world AI adoption
49%
12%
Tasks AI can speed up
60%
65%
Median annual wage (US)
$129,180
$80,730
Entry-level wage (10th pct)
$75,090
$48,220
Senior wage (75th pct)
$163,500
$109,010
Total US employment
190,650
417,070
Top durable skill
Specialist safety judgment in hazardous environments
Senior risk decisions with regulatory accountability
O*NET-SOC code
15-1212.00
13-1041.00
Reviewed by AI Career Index Research · Methodology v3 · 2026 ·Read the methodology →
AI tool overlap
The AI tools actually doing the work in each role
Where the same tool already appears in both workflows, the substitution path is shared. Where they diverge, the compression vectors do too.
Both roles use
- ChatGPTIncident write-ups, policy drafting, and analyst-tier triage.
Only Cyber Threat Intelligence Analysts
- DarktraceSelf-learning AI for cyber threat detection and response.
- CrowdStrike FalconAI-driven endpoint protection and threat hunting.
- SentinelOneAutonomous endpoint security with behavioural ML.
- Vectra AINetwork detection and response with AI-driven threat hunting.
- Microsoft Security CopilotAI assistant for SOC analysts inside the Microsoft security stack.
Only Fraud Analysts
- HummingbirdAI for financial-crime investigation and case management.
- FeaturespaceAI-driven fraud-prevention and adaptive behavioural analytics.
- NICE ActimizeAI for AML, fraud detection, and trade surveillance.
- SiftAI digital-trust and fraud-prevention platform.
- BehavoxAI behavioural-analytics for compliance and fraud monitoring.
FAQ
Common questions
Go Deeper
Want the full structural reading?
Each individual role page goes deeper than the comparison view: automation risk, AI tools currently affecting the role, the structural skill map, the 6-month action plan, and the full occupation data block. Read both readings to make a fully informed call between Cyber Threat Intelligence Analysts and Fraud Analysts.
Related comparisons
Other comparisons you may want to read
Same structural framework, different pair. Each reads the AI-exposure delta and shows where the durability sits.
Career Risk · 8 min read · Nov 2026
How AI Layoffs Are Reshaping White-Collar Work
The 120,000+ AI-driven layoffs tracked in 2026 concentrate in specific tiers and functions. What the pattern looks like, which roles absorb the impact, and what to do about it.
Methodology · 8 min read · Nov 2026
AI Usage vs Career Risk: What the Gap Means
Microsoft Research scored AI usage across 785 occupations. AI Career Index scored career risk. Where the two diverge is where preparation matters most.
Strategy · 7 min read · Oct 2026
The Hidden Cost of Ignoring AI Exposure
Most companies know AI will change their workforce. Few have measured which roles are exposed, by how much, or what it will cost to wait. Here is the price of not knowing.
"I usually dismiss career tools. This one is different, because the results are consistent and it shows how it reaches them. My test for anything is simple: would I trust it enough to make a real decision on it? Here the answer was yes."
RC
Rafael Costa
Head of Operations · Lisbon, Portugal
"I work in a field that AI is squeezing hard. The report did not pretend otherwise. What it did was show me which part of my role is safe and how to move more of my work into it over the next six months. That honesty is what I needed."
HK
Hannah Kowalski
Creative Director · Warsaw, Poland
"I had my whole team of twelve take it. The group results flagged two roles that were quietly falling behind and at risk of losing ground to competitors. We fixed both before it showed up in their numbers. At forty-nine dollars a person, it is the best-value spend I have made all year."
MA
Michael Anderson
Managing Partner · Chicago, USA
Measure Your Position with AI Career Index
Take the AI Career Snapshot to see your structural leverage, automation exposure, and growth trajectory with AI Career Index.