Certified AI Security Researcher
Validate advanced, practical skills in AI and LLM security through hands-on exploitation of production-grade AI environments.
Overview
The Certified AI Security Researcher (CAISR) certification is a fully hands-on, scenario-driven credential designed to validate advanced, practical skills in AI and Large Language Model (LLM) security. It is built for security researchers and practitioners working with modern AI systems.
Rather than testing theory, CAISR challenges candidates to operate as real AI security researchers. You will analyze and exploit vulnerable AI applications, navigate complex systems, compromise RAG pipelines, exploit MCP servers, and attack autonomous agent workflows in environments that reflect how AI is actually deployed today.
Who Should Take This
- Experienced security engineers and penetration testers
- AI and LLM red teamers
- Vulnerability researchers working with AI systems
- AI developers responsible for security
- AI security consultants
Benefits
Stand Out in AI Security
Signal verified expertise in AI and LLM security as organizational adoption outpaces skill benchmarks.
Real-World Capability
Prove you can assess, exploit, and secure complex production AI systems, not just isolated demos.
Specialized Security Roles
Strengthen your profile for AI security researcher, LLM red teamer, and AI application security engineer roles.
Attacker Mindset
Develop understanding of how modern AI systems fail in practice, including cross-component attack paths.
Production Experience
Gain experience transferring directly to auditing deployed AI services and agent platforms.
Peer Recognition
Use the certification as a concrete signal of technical credibility in this emerging niche.
Exam Objectives
LLM Architecture and Exploitation: Demonstrate mastery of transformer architectures, attention mechanisms, and inference pipelines.
Prompt Injection and Jailbreaking: Execute advanced prompt injection attacks and bypass safety guardrails in real-world AI applications.
MCP Server Security: Identify and exploit vulnerabilities in Model Context Protocol servers including authentication bypasses.
RAG System Vulnerabilities: Compromise vector databases, perform knowledge base poisoning, and exploit semantic search mechanisms.
AI Agent Security: Attack autonomous agent workflows, exploit tool-use confusion, and manipulate agent communication protocols.
AI-Generated Code Analysis: Identify vulnerabilities in AI-generated applications and exploit common AI coding mistakes.
Production AI Infrastructure: Assess and exploit vulnerabilities in LangChain, LlamaIndex deployments, and model serving infrastructure.
AI Agent Development: Create AI agents to automate security-related operations.
Exam Format
24 hrs + 24hr Reporting
Exam Duration
Report
Final Deliverable
The 24-hour exam is entirely hands-on. You will receive access to a dedicated vulnerable AI environment containing multiple LLM endpoints, RAG pipelines, MCP servers, and autonomous agent systems. An additional 24 hours is provided for report preparation.
Passing Criteria: Your submission is a comprehensive security research report documenting identified vulnerabilities, exploitation methodology, attack chains, proof-of-concepts, impact analysis, and practical remediation guidance.
Certificate: Successful candidates are awarded the 8kSec Certified AI Security Researcher certification, showcasing proficiency in AI and LLM security.
Lab Environment
During the exam, you will have access to a dedicated lab environment containing vulnerable AI applications, LLM endpoints, MCP servers, and agent systems with full instructions.
Prerequisites
- Strong background in penetration testing and red teaming
- Solid understanding of LLM architectures
- Experience securing AI-enabled applications and infrastructure
- Practical skills in exploiting LLM-based systems and bypassing guardrails
- Familiarity with LangChain, LlamaIndex, MCP, RAG systems, and Python
Recommended Training
Practical AI Security: Attacks, Defenses, and Applications
Covers modern AI security architectures, offensive exploitation techniques, and defensive design patterns. Work directly with vulnerable systems, develop exploit tooling, and build security-focused AI agents.
Learn MoreFrequently Asked Questions
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Ready to Get CAISR Certified?
Prove your expertise with an industry-recognized certification from 8kSec.