1. About This Specialization

An AI Red Team Specialist evaluates LLM and AI systems from a real attacker’s perspective. This includes AI-specific attack vectors: prompt injection, jailbreaking, model extraction, training data leakage, and agent chain attacks — combining automated tools like XBOW, Garak, and PyRIT with manual analysis.

Demand for this specialization exploded in 2026, when Anthropic Mythos found 271 vulnerabilities in Firefox 150. In an era when AI does security testing, people who can verify the security of the AI itself and use AI-powered attack tools defensively became essential.

2. Core Skill Set

Technical:

• Prompt injection and jailbreak techniques (OWASP LLM Top 10)
• Adversarial ML (MITRE ATLAS framework)
• LLM-based vulnerability discovery tools (XBOW, ZeroPath, Garak, PyRIT)
• Traditional penetration testing (web, API, network)
• Python automation, CI/CD pipeline integration
• EU AI Act high-risk AI classification and compliance assessment

Soft skills:

• Attacker mindset: imagining vulnerability paths at design stage
• Technical report writing: communicating risk to non-technical stakeholders
• Research ability: continuously tracking new attack vectors

3. Career Path

4. Entry Roadmap

1. Build fundamentals: OWASP LLM Top 10 + MITRE ATLAS. Free.
2. Tool practice: Garak (LLM red team OSS) and PyRIT (Microsoft OSS) against local LLMs to build a PoC portfolio.
3. Certifications: AWS Security Specialty + AWS ML Specialty (standard entry path). ISACA AAIA (launched 2026).
4. Entry points: 10a Labs, Scale AI (entry-level); Lakera, HiddenLayer (mid); Amazon AI Red Team, Microsoft Security (senior).

5. Related Opportunities