Securing GenAI: Protect Your AI Applications with Proven Strategies

In today’s fast-evolving digital landscape, the integration of AI systems presents unique challenges that traditional security measures are ill-equipped to handle. AI applications powered by large language models (LLMs) and advanced retrieval pipelines are fraught with vulnerabilities that can be exploited if not properly addressed. This course offers a comprehensive framework for securing these GenAI workloads, demonstrating not only how modern AI attacks operate but providing practical strategies to counteract them.

Here, you’ll explore various threats that specifically target LLM and retrieval augmented generation (RAG) systems, such as prompt injection and data exposure. The course breaks down essential components like AI firewalls and secure tool permission models. Participants will learn to create robust AI Security Posture Management practices, enabling them to stay ahead of emerging threats while ensuring compliance with data governance standards.

By the end of this course, you’ll gain access to vital resources, including architecture diagrams and evaluation checklists that can facilitate the first steps towards implementing a solid security infrastructure in your AI operations. You’ll emerge equipped with actionable insights and frameworks to help your organization navigate the complexities of AI security in real-world applications.

What you will learn:

• Understand modern AI attack surfaces and prevention strategies
• Implement controls to prevent data leakage and unauthorized access
• Develop comprehensive AI Security Posture Management practices

Course Content:

• Sections: 5
• Lectures: 30
• Duration: 3 hours

Requirements:

• General experience with IT, software, or engineering environments
• Helpful but optional familiarity with AI workflows or retrieval systems

Who is it for?

• Engineers and developers creating applications powered by LLMs
• ML practitioners and data specialists working with model pipelines
• Solution architects defining AI system structures and security controls
• Cybersecurity and DevSecOps teams overseeing AI deployments
• Technical leaders aiming to manage AI risk and governance in their organizations

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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