Building AI Agents? Check out Lakera's AI Security for Product Teams Handbook to learn how to build secure GenAI products. Originally presented in an email format, this resource is now available as an in-depth PDF, enhancing readability and expanding on key concepts.

What’s inside:

‍

Chapter 1: Introduction to AI Security for Product Teams – Learn why AI security is crucial for product teams and how it differs from traditional cybersecurity.

‍

Chapter 2: AI Security Threat Landscape Overview – Understand common AI threats, including prompt injections and data poisoning, and explore real-world breaches.

‍

Chapter 3: Prompt Injection Attacks Deep Dive – Discover the different types of prompt injection attacks with examples.

‍

Chapter 4: Regulatory Landscape for AI Products – Get a brief overview of AI-specific regulations like the EU AI Act and the US AI Bill of Rights.

‍

Chapter 5: Secure AI Product Development Lifecycle – Explore when and how to address security during AI product development and the importance of 'secure by design.

‍

Chapter 6: Addressing User Concerns and Privacy in GenAI – Learn how to tackle unique privacy concerns in GenAI and communicate security measures effectively to users.

‍

Chapter 7: AI Security Tools & How to Evaluate Them – An overview of key tools and how to integrate security testing into your QA processes.

‍

Chapter 8: Making a Business Case for AI Security – Learn to unlock enterprise sales and gain leadership buy-in by making a compelling business case for AI security.

‍

Chapter 9: How to Secure Your GenAI Application – Step-by-step guide on securing various types of GenAI applications, including a Lakera demo.

‍

Chapter 10: AI Security Resources for Product Teams – Discover essential resources and networks for staying updated on AI security.