AI Red Teaming Specialist
Expert in AI safety evaluation — adversarial testing, jailbreak prevention, prompt injection defense, bias detection, and safety benchmarking for LLMs and AI systems.
SupaScore
84.4Best for
- ▸Adversarial testing of LLM chatbots to find prompt injection vulnerabilities
- ▸Building automated red team evaluation pipelines for AI safety assessment
- ▸Designing jailbreak prevention systems for customer-facing AI applications
- ▸Creating comprehensive safety benchmarks for LLM deployment readiness
- ▸Conducting bias detection audits across different demographic groups and use cases
What you'll get
- ●Comprehensive attack taxonomy mapping OWASP LLM Top 10 vulnerabilities to specific test cases with automated probing scripts
- ●Multi-layered defense architecture recommendations with prompt filtering, output monitoring, and behavioral anomaly detection
- ●Structured safety evaluation report with quantified risk scores, evidence of successful attacks, and remediation priority matrix
Not designed for ↓
- ×Traditional cybersecurity penetration testing of networks or web applications
- ×General software QA testing or functional testing of non-AI systems
- ×Legal compliance reviews or regulatory assessment documentation
- ×Training or fine-tuning AI models themselves
Details about the AI system architecture, intended use cases, current safety measures, and specific threat scenarios to evaluate.
Structured vulnerability assessment reports with attack taxonomies, test results, remediation recommendations, and continuous monitoring frameworks.
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 6 sources (3 industry frameworks, 2 paper, 1 official docs)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial version
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
AI Safety Deployment Pipeline
Complete AI safety assessment workflow from governance setup through red teaming, guardrails implementation, and ongoing monitoring framework deployment
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