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The AI Risk Map: A Practical Guide to Frameworks, Threats, and GenAI Lifecycle Risks

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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

The AI Risk Map is a practical reference for navigating today’s fragmented landscape of AI risk frameworks. Security teams face a growing maze of standards—from MITRE ATLAS to OWASP’s Top 10 for LLMs to the NIST AI RMF and beyond. This guide brings clarity by mapping these frameworks side by side, showing how they align, where they differ, and which stages of the GenAI lifecycle they cover.

It also includes a curated set of the Top 25 AI Risks—the issues that come up most often in real-world systems. By connecting them to frameworks and lifecycle stages, the guide helps teams quickly understand what to prioritize and when.

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Highlights

  • Frameworks in Focus: See how MITRE ATLAS, OWASP 2025, and NIST AI RMF frame AI risks—with additional context from the EU AI Act.
  • Comparative Mapping: Spot overlaps and gaps across frameworks to reduce blind spots.
  • Lifecycle Coverage: Understand how risks emerge across design, deployment, and monitoring.
  • Top 25 AI Risks: A structured overview of the most common GenAI risks, tied to lifecycle stages and frameworks.
  • Practical Reference: Built for security engineers, product managers, compliance teams, and decision-makers working with GenAI systems.

This guide is designed to make a complex landscape easier to navigate, helping teams stay focused on the risks that matter most.

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