AI Security Academy is a specialized training platform that builds practical AI security skills through hands-on labs, industry certifications, and enterprise programs. The company offers immersive courses covering agentic AI threats like prompt injection, memory poisoning, and tool abuse, with training mapped to frameworks including NIST AI RMF, MITRE ATLAS, and the EU AI Act. Its flagship CASP certification program includes 14 attack-and-defense labs where participants exploit and secure real agentic systems built with n8n, LangChain, and MCP integrations.
Funding
Funding not disclosed
Founders
Product
Problem
AI is advancing faster than security teams can adapt, leaving organizations vulnerable to emerging threats specific to AI systems. Traditional application security training does not address the unique attack surfaces introduced by autonomous agents, large language models, and AI supply chains, creating a critical skills gap for security professionals.
Solution
AI Security Academy provides a practical, hands-on training platform that simulates real-world AI attacks in controlled environments, enabling security teams to build and validate their defensive capabilities. The platform offers interactive labs where practitioners practice defending against threats like prompt injection, adversarial machine learning, and model poisoning, with content mapped to industry frameworks including NIST AI RMF, MITRE ATLAS, and the EU AI Act. Courses combine video instruction, quizzes, and extensive hands-on exercises where participants build, attack, and defend real agentic systems using n8n workflows, LangChain agents, MCP integrations, and Python-based applications. The flagship Certified AI Security Professional (CASP) program provides intermediate-level, self-paced training culminating in a capstone lab that simulates the compromise of a real enterprise AI agent system.
Target Audience
Primary customers are security professionals including application security engineers, AI security engineers, security architects, red team professionals, AI engineers deploying agent-based systems, and DevSecOps professionals working with AI infrastructure.
Features
- 14 hands-on attack and defense labs covering prompt injection, memory poisoning, tool abuse, RAG attacks, multi-agent collusion, and MCP registry exploitation
- Realistic lab environments where participants retrieve hidden secrets from vulnerable AI systems, including system prompt extraction and command execution through AI tools
- Training content mapped to NIST AI RMF, MITRE ATLAS, and EU AI Act frameworks
- CASP (Certified AI Security Professional) certification validating expertise in securing AI systems
- Self-paced blended learning format with approximately 30 hours of content (10 hours of coursework plus 20 hours of labs)
- Free trial lab access through the CTF platform for hands-on evaluation
- Enterprise solutions offering custom training programs tailored to organizational AI security needs and compliance requirements