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Course
Securing Generative AI
Published by Pearson (November 9, 2024)
ISBN-13: 9780135401781
Product Information
Securing Generative AI offers a comprehensive exploration into the crucial security measures necessary for the deployment and development of various AI implementations, including large language models (LLMs) and Retrieval-Augmented Generation (RAG). It addresses critical considerations and mitigations to reduce the overall risk in organizational AI system development processes. Experienced author and trainer Omar Santos emphasizes "secure by design" principles, focusing on security outcomes, radical transparency, and building organizational structures that prioritize security. You will be introduced to AI threats, LLM security, prompt injection, insecure output handling, and Red Team AI models. The course concludes by teaching you how to protect RAG implementations.
This course explores security for deploying and developing LLMs, RAGs, and other AI implementations and allows you to get hands-on with practical skills of real-life AI and machine learning cases.
Lesson 1: Introduction to AI Threats and LLM Security
Lesson 2: Understanding Prompt Injection & Insecure Output Handling
Lesson 3: Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities
Lesson 4: Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency
Lesson 5: Overreliance, Model Theft, and Red Teaming AI Models
Lesson 6: Protecting Retrieval Augmented Generation (RAG) Implementations
Omar Santos is a Distinguished Engineer at Cisco focusing on artificial intelligence (AI) security, research, incident response, and vulnerability disclosure. He is a board member of the OASIS Open standards organization and the founder of OpenEoX. Omar's collaborative efforts extend to numerous organizations, including the Forum of Incident Response and Security Teams (FIRST) and the Industry Consortium for Advancement of Security on the Internet (ICASI). Omar is the co-chair of the FIRST PSIRT Special Interest Group (SIG). Omar is the lead of the DEF CON Red Team Village and the chair of the Common Security Advisory Framework (CSAF) technical committee. Omar is the author of over 20 books, numerous video courses, and over 50 academic research papers. Omar is a renowned expert in ethical hacking, vulnerability research, incident response, and AI security. His dedication to cybersecurity has made a significant impact on technology standards, businesses, academic institutions, government agencies, and other entities striving to improve their cybersecurity programs.