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Owasp Top 10 For Llm 2025 By Fortivance Academy
Published 8/2025
Created by Fortivance Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 3h 18m ) | Size: 1.55 GB
Mastering OWASP Top 10 for LLM: Identifying, Preventing, and Mitigating AI Security Risks
What you'll learn
Understand the OWASP Top 10 for LLM 2025 and why it matters for AI security.
Identify, analyze, and prioritize LLM-specific vulnerabilities such as prompt injection, data leakage, and model theft.
Perform threat modeling tailored to LLM-powered applications.
Implement monitoring and incident response for LLM-related security incidents.
Apply practical mitigation strategies to secure the AI lifecycle-from data collection to model deployment.
Requirements
Basic understanding of software development or web application development.
Familiarity with AI/ML concepts and how Large Language Models work (helpful, but not mandatory).
Description
Are you working with Large Language Models (LLMs) and want to ensure they're secure, reliable, and resilient?The OWASP Top 10 for LLM 2025 is the industry's leading framework for understanding and mitigating the most critical security risks in AI-powered applications. It equips developers, AI engineers, and cybersecurity professionals with the skills to identify vulnerabilities, prevent exploitation, and protect sensitive data in LLM-based systems.This course is designed to help you master the OWASP Top 10 for LLM through a practical, in-depth learning path. Using real-world case studies, attack demonstrations, and proven mitigation strategies, you'll gain the expertise to secure AI applications confidently in production environments.What You'll Learn:OWASP Top 10 LLM Risks - Understand each vulnerability in detail, from prompt injection to model theft.Threat Modeling for LLMs - Learn how to assess and prioritize AI-specific security risks.Attack Simulation & Detection - See how vulnerabilities are exploited and how to identify warning signs early.Mitigation Strategies - Implement security controls and best practices to harden AI systems.Secure AI Lifecycle - Integrate security into data preparation, model training, deployment, and monitoring.Who Should Enroll?This course is ideal for software developers, web developers, AI engineers, cybersecurity engineers, analysts, and DevSecOps professionals looking to build or maintain secure AI systems.Secure the future of AI-enroll today and gain the skills to protect LLM applications from the most critical threats of 2025.
Who this course is for
Software Developers & Web Developers building applications powered by LLMs.
AI & ML Engineers responsible for designing, training, and deploying AI models.
Cybersecurity Engineers & Analysts securing AI-powered systems.
