Cybersecurity for AI · Governance and Risk
AI Risk Analyst
An AI Risk Analyst conducts risk assessments for AI initiatives across compliance, reputation, cybersecurity, and operations.
Median salary
$145K
Growth outlook
high
AI Impact
20/100
Entry-level
Yes
AI Impact Outlook · Moderate (20/100) · Demand growth: positive
AI Risk Analyst faces moderate evolution as AI capabilities advance. Some sub-tasks compress (first-pass risk scoring, standard-form audit content), and demand for the broader role still grows because AI deployment grows faster than the work compresses. Practitioners who hedge with adjacent skills (AI security engineering, AI governance) hold value strongly.
Forecast methodology: cybersecurity for AI roles benefit from AI proliferation. More AI deployment means more attack surface, larger compliance scope, and growing demand for practitioners who secure these systems.
What this role actually does
- Design organizational AI governance frameworks across compliance, ethics, and risk
- Track regulatory developments (EU AI Act, NIST AI RMF, ISO 42001, sector rules) and operationalize them
- Conduct AI risk assessments and audit AI initiatives across the organization
- Bridge legal, engineering, product, and security on responsible AI decisions
- Translate AI policy into operational requirements engineering teams can ship against
Required skills
- Regulatory literacy: EU AI Act, NIST AI RMF, ISO 42001, sector-specific rules
- Risk assessment methodology applied to AI systems and AI procurement
- Compliance and audit practice with AI scope
- Cross-functional partnership across legal, engineering, product, and security
- Strong written communication for policy authoring and audit response
- Working knowledge of AI capabilities and limits to ground policy in reality
Representative tools and frameworks
- EU AI Act: regulatory baseline for AI systems in EU markets
- NIST AI Risk Management Framework: voluntary US framework
- ISO/IEC 42001: AI management system standard
- Audit tooling adapted to AI scope (governance platforms, control libraries)
- Internal AI inventory and risk register systems
Framework references are factual citations. Verify current scope and applicability with the originating standards body.
Bridge to cybersecurity foundation
GRC Analyst
The cybersecurity foundation counterpart to AI Risk Analyst is GRC Analyst. The two roles share methodology (operational discipline, adversarial mindset, or compliance practice) applied to different domain context. Practitioners moving from cybersecurity foundations into AI security work usually retain most of their methodology while learning the AI-specific vocabulary and tooling.
Read the GRC Analyst guide →AI Risk Analyst questions and answers
What does an AI Risk Analyst actually do?
An AI Risk Analyst conducts risk assessments for AI initiatives across compliance, reputation, cybersecurity, and operations. The day-to-day mix depends on the company, but the core work is: design organizational ai governance frameworks across compliance, ethics, and risk, plus track regulatory developments (eu ai act, nist ai rmf, iso 42001, sector rules) and operationalize them.
How much does an AI Risk Analyst make?
Median compensation for an AI Risk Analyst is around $145K USD in the United States according to current cybersecurity for AI market data. Total compensation ranges meaningfully wider in AI-first companies and frontier labs, where equity is a larger share of the package.
Is AI Risk Analyst entry-level friendly?
Yes. AI Risk Analyst is one of the more accessible cybersecurity for AI roles for early-career practitioners. The main credentialing barrier is demonstrated proficiency, not formal degree requirements.
What is the AI Impact Outlook for AI Risk Analyst?
Moderate disruption (20/100). AI Risk Analyst faces moderate evolution as AI capabilities advance. Some sub-tasks compress (first-pass risk scoring, standard-form audit content), and demand for the broader role still grows because AI deployment grows faster than the work compresses. Practitioners who hedge with adjacent skills (AI security engineering, AI governance) hold value strongly.
How does AI Risk Analyst relate to traditional cybersecurity careers?
The cybersecurity foundation counterpart is GRC Analyst. The two roles share core practitioner discipline. Practitioners moving from cybersecurity foundations into AI security work usually retain 60-70% of their methodology while learning the AI-specific vocabulary and tooling. DecipherU's cross-vertical bridges document this explicitly.
Salary data is compiled from public sources including the Bureau of Labor Statistics and industry surveys. Actual compensation varies by location, experience, company, and negotiation. This information is for educational purposes only and does not constitute financial advice.
Sources
- NIST AI Risk Management Framework · AI risk reference for cybersecurity professionals securing AI systems.
- MITRE ATLAS · Adversarial techniques against AI systems.
- DecipherU Methodology · How DecipherU compiles cross-vertical cybersecurity for AI intelligence.