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AI/ML Security Career Roadmap

AI/ML security professionals protect AI systems from adversarial attacks, prompt injection, data poisoning, and other emerging threats. As AI adoption accelerates, this role ensures that intelligence doesn't come at the cost of security.

AI Security Engineer ML Security Researcher AI Red Teamer

What Makes a Great AI/ML Security

Great AI security professionals bridge two worlds - they understand both machine learning internals and traditional security principles. They anticipate novel attack vectors against AI systems and build guardrails that maintain security without crippling capability.

Related Articles

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Entry Level

$70,000–$95,000

You're learning AI/ML fundamentals through a security lens - understanding how prompt injection works, what the OWASP LLM Top 10 covers, and how to identify risks in AI deployments. This is a fast-moving field where curiosity is your best asset.

Skills

AI/ML fundamentals Prompt injection awareness LLM application security Data privacy basics AI risk identification AI use policy development RAG security basics

ATT&CK Focus Areas

LLM Prompt Attacks

Prompt injection is the most common AI attack vector - understanding how it works is essential before you can defend against it

Prompt Injection (ATLAS ML0051), Jailbreaking (ATLAS ML0054)

Data Poisoning

Compromised training data can embed backdoors that survive model retraining - a unique risk with no traditional security parallel

Poison Training Data (ATLAS ML0020), Backdoor ML Model (ATLAS ML0018)

Certifications

CompTIA Security+

Foundational security concepts

200h study · 3yr validity · 50 CPE · $75/yr CE fee

Google AI Essentials

AI/ML fundamentals

50h study · None (lifetime)

Tools

OWASP LLM Top 10 Garak Prompt injection testing Rebuff LLM Guard

Learning Platforms

  • OWASP LLM Top 10 resources
  • Coursera AI for Everyone
  • HuggingFace courses

Key Questions to Explore

  • What are the OWASP Top 10 for LLM applications?
  • How do prompt injection attacks work?

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Mid Level

$110,000–$150,000

You're conducting AI red team exercises, implementing LLM guardrails, and assessing supply chain risks in ML pipelines. You're developing the specialized skills that few security professionals have.

Skills

AI red teaming Model robustness testing LLM guardrail implementation Training data security AI supply chain risk Agent security architecture Model output validation

ATT&CK Focus Areas

Model Evasion

Adversarial examples that fool classifiers expose fundamental limitations in ML-based security tools you may rely on

Evade ML Model (ATLAS ML0015), Craft Adversarial Data (ATLAS ML0043)

Supply Chain

Malicious models on public hubs and compromised ML pipelines are emerging attack vectors that require new security controls

Supply Chain Compromise (T1195), Publish Poisoned Model (ATLAS ML0024)

Certifications

GAIC

AI security concepts and testing

250h study · 4yr validity · 36 CPE · $479/yr

AWS ML Specialty

Machine learning on AWS

300h study · 3yr validity · Free (retake exam)

Tools

AI red teaming frameworks Model scanning tools LLM guardrails Counterfit NeMo Guardrails

Learning Platforms

  • SANS SEC595
  • AI Village (DEF CON)
  • Adversarial ML tutorial

Key Questions to Explore

  • How do I secure an LLM deployment in production?
  • What's the process for AI red teaming?

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Senior Level

$155,000–$195,000

You're building the AI security program - defining governance frameworks, leading adversarial ML research, and shaping organizational policy on responsible AI. You're helping define best practices for a discipline that's still being invented.

Skills

AI security program development Adversarial ML research AI governance frameworks Responsible AI strategy AI incident response Regulatory AI compliance (EU AI Act)

ATT&CK Focus Areas

Model Theft & Extraction

Protecting proprietary models from extraction attacks and reverse engineering requires understanding both ML internals and IP protection

Extract ML Model (ATLAS ML0044), Model Inversion (ATLAS ML0004)

AI Governance

Building AI security programs - red team frameworks, bias testing, deployment guardrails - defines best practices for a discipline still being invented

LLM Guardrail Bypass (ATLAS ML0055), Discover ML Model Ontology (ATLAS ML0013)

Certifications

CISSP

Security leadership and governance

400h study · 3yr validity · 40 CPE · $125/yr AMF

AI-specific certifications (emerging)

Specialized AI security expertise

200h study · N/A (emerging field)

Tools

Custom ML security pipelines Adversarial ML research tools MITRE ATLAS Navigator

Learning Platforms

  • MITRE ATLAS training
  • AI security research papers
  • NeurIPS/USENIX security workshops

Key Questions to Explore

  • How do I build an AI security program?
  • What are adversarial machine learning defense strategies?

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Resources

Books

  • Not With a Bug, But With a Sticker by Ram Shankar Siva Kumar & Hyrum Anderson
  • Adversarial Machine Learning by Joseph Roth et al.

Communities

  • AI Village (DEF CON)
  • OWASP AI Security
  • r/MachineLearning

Podcasts

  • TWIML AI Podcast
  • Practical AI
  • Darknet Diaries

Related Career Paths

Penetration Tester Threat Intelligence Analyst

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