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AI Security Guide: PDF Course
AI SECURITY

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Download our AI Security Guide and learn everything you need to know about key AI security concepts.

Overview

Explore AI security with the Lakera LLM Security Playbook. This guide is a valuable resource for everyone looking to understand the risks associated with AI technologies.

Ideal for professionals, security enthusiasts, or those curious about AI, the playbook offers insight into the challenges and solutions in AI security.

Highlights

  • Comprehensive Analysis of LLM Vulnerabilities: Detailed overview of critical security risks in LLM applications.
  • Gandalf - The AI Education Game: Introduction to Gandalf, an online game designed for learning about AI security.
  • Expansive Attack Database: Insights from a database of nearly 30 million LLM attack data points, updated regularly.
  • Lakera Guard - Security Solution: Information about Lakera Guard, developed to counteract common AI threats.‍
  • Practical Security Advice: Tips on data sanitization, PII detection, and keeping up-to-date with AI security developments.

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Overview

Protect your organization's AI systems and navigate the evolving threat landscape with Lakera's comprehensive AI Security Guide.

Originally presented in an email format, this course is now available as a visually appealing and in-depth PDF, enhancing readability and expanding on key concepts.

‍Note: To earn a certificate of completion, you need to enroll in the email version of the AI security course.

Guide contents

  • Chapter 1: GenAI Security Threat Landscape. Explore the unique threats facing AI systems, with in-depth examples of LLM breaches.
  • Chapter 2: Exploring OWASP & ATLAS™ Frameworks. Understand how the OWASP Top 10 for LLMs and the ATLAS™ framework can strengthen your AI security posture.
  • Chapter 3: Prompt Injections Deep Dive. Delve into the nuances of prompt injections and learn to mitigate their impact.
  • Chapter 4: Traditional vs. AI Cyber Security. Differentiate between traditional and AI-specific cybersecurity approaches.
  • Chapter 5: AI Application Security. Master best practices for secure AI application development.
  • Chapter 6: AI/LLM Red Teaming. Gain insights into AI/LLM red teaming techniques for proactive vulnerability testing.
  • Chapter 7: AI Tech Stack & Evaluating AI Security Solutions. Explore the essential components of the AI security stack and learn how to choose the right solutions.
  • Chapter 8: Navigating AI Governance. Understand global AI regulations, including the EU AI Act and emerging US guidelines.
  • Chapter 9: The Evolving Role of the CISO. Discover how the CISO's role is transforming in the era of AI.
  • Chapter 10: AI & LLM Security Resources. Explore a curated list of valuable resources and stay ahead of the curve in AI security.