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SKILL_PATH // SECURITY / COMPLIANCE

Red-team AI systems. Before the attackers do.

LLM threats are fundamentally different from traditional AppSec.

Prompt injection, jailbreaks, data exfiltration through context, PII leakage in outputs — these are not traditional security vulnerabilities. The security professional who learns LLM-specific attack vectors is immediately billable, because every enterprise deploying AI needs this and almost nobody has it.

WHERE THIS ROLE EXISTS
Amazon
AppSec for AI-powered services
ServiceNow
Security for regulated enterprise customers
Starbucks
Risk management, customer data protection
YOUR PRIORITY SKILLS

Your target skill profile — what to learn and how deep to go.

1

Red-Teaming

Expert

Probing AI systems for vulnerabilities before attackers do

2

Guardrails & Safety

Expert

Designing input/output filtering and content policy enforcement

3

Compliance & Governance

Expert

EU AI Act, NIST AI RMF, sector-specific regulations

4

Failure Modes

Proficient

Understanding AI-specific failure patterns, especially silent failures

5

Human-in-the-Loop

Working

Designing review workflows for high-risk AI actions

60-DAY MILESTONE

Conduct a red-team assessment — attack surface analysis, prompt injection testing, data leakage audit, and remediation plan.

2-YEAR DESTINATION

AI Security Lead / Head of AI Risk

$180–350K

"Every enterprise deploying AI needs LLM security expertise — almost nobody has it."

Start your diagnostic →

Free. 3 questions. Personalized skill sequence in 3 minutes.

OTHER PATHS