Evolving AI Threats
Identify and defend against prompt injection, adversarial attacks, model manipulation, and other emerging AI threats.
Build practical skills to secure AI models, LLMs, RAG systems, AI agents, and production AI applications against modern threats through hands-on AI security training.

Understand the AI security risks this certification prepares you to identify, mitigate, and manage.
Identify and defend against prompt injection, adversarial attacks, model manipulation, and other emerging AI threats.
Protect AI models, training data, sensitive information, and intellectual property from leakage, poisoning, and unauthorized access.
Implement security controls, monitoring, and governance to deploy and operate AI systems safely in production.
A practical AI security certification for professionals who want to identify security risks and protect AI systems, models, applications, and data throughout their lifecycle.
Review the complete learning path, module structure, hands-on topics, and technical prerequisites before enrolling.
Apply CAISP concepts through hands-on AI security activities designed to protect real-world AI systems from development through production.
Build a structured threat model to identify risks across AI models, training data, APIs, prompts, users, and third-party components.
Design security guardrails for prompt injection, sensitive-data leakage, adversarial inputs, insecure model outputs, and unauthorized access.
Build a deployment-ready AI security plan covering access control, security testing, monitoring, incident response, governance, and continuous risk management.
Explore practical CAISP projects that apply AI security concepts to realistic threats, data protection, and model security scenarios.

A company chatbot could be tricked with malicious prompts into ignoring its rules or revealing protected information. The student tests the chatbot with different attacks, finds the weak points, and adds security controls to block dangerous prompts while keeping normal conversations working.

An internal RAG assistant sometimes returned confidential information from company documents to users who should not see it. The student adds document permissions, secure retrieval rules, input/output filtering, and tests the system to make sure sensitive information cannot leak.

A machine-learning model started producing incorrect results because harmful or manipulated data had entered its training dataset. The student creates checks to detect suspicious training data, identify unusual model behavior, and prevent poisoned data from being used.
Progress from AI security fundamentals to threat modeling, vulnerability assessment, secure deployment, and hands-on defense. Each module builds practical skills for protecting AI systems, models, applications, and data.
Review the key certification exam information before you begin your preparation.

AI Security Engineer
With over 12 years of experience securing AI and machine learning systems, Ayush specializes in AI threat modeling, adversarial robustness, model protection, and secure AI deployment.
Get guidance while you learn, share ideas with peers, and receive support when practical AI security activities become challenging.
“CAISP helped me understand AI-specific threats, apply practical security controls, and contribute more confidently to secure AI projects.”
From threat modeling to secure deployment, CAISP prepares professionals to protect real-world AI systems.

See how learners apply CAISP training to protect AI systems in real organizations.
“This certification fundamentally changed how I approach AI security. The adversarial testing labs are incredibly practical and eye-opening.”
“The model protection and data security modules gave me the confidence to lead security initiatives. Highly recommended for anyone working with AI.”
“Clear, technical, and immediately applicable. The threat assessment frameworks alone have transformed how our team evaluates AI risks.”
Enroll in CAISP and get practical resources designed to support your AI security learning and career development.
A practical guide to common AI vulnerabilities, attack patterns, and mitigation strategies. ($149 Value)
A ready-to-use framework for assessing and documenting the security posture of AI systems. ($99 Value)
Access peer networking, knowledge sharing, and relevant career opportunities through the CAISP alumni community. (Priceless Value)
Choose the plan that fits your learning goals.
Start with the course introduction and foundational learning at no cost.
Get the complete certification path with all learning modules, hands-on labs, assessments, practice exams, and the final professional certificate.
Upskill your team with coordinated AI security training, centralized enrollment support, and administrative visibility.
Start with the essentials, then upgrade when you are ready for the complete professional learning journey.

If the CAISP program is not right for you, request a full refund within 30 days of enrollment.
Everything you need to know about the CAISP certification program.
The main course page explains the 12-module curriculum, eligibility, the proctored exam and the 5-year certification.