Cookie Consent
Hi, this website uses essential cookies to ensure its proper operation and tracking cookies to understand how you interact with it. The latter will be set only after consent.
Read our Privacy Policy
Securing AI Agents in Production: A Practical Guide

Download Your Content

Get your copy of "Securing AI Agents in Production: A Practical Guide"

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.

Overview

As AI agents move from prototypes to production, new security challenges emerge—many of them beyond what traditional LLM safeguards were built for. This guide is a practical starting point for securing autonomous GenAI systems in the real world. It breaks down the new risks introduced by agent behaviors, multi-step reasoning, memory, tool use, and evolving attack patterns—while offering actionable strategies for building, monitoring, and defending agentic applications.

Highlights

  • Agent-Specific Threats: Explore the unique attack surfaces introduced by agentic systems—prompt injection, memory hijacking, tool misuse, RAG poisoning, and more.
  • Real-World Examples: Learn from field-tested cases and red teaming insights that show how attackers exploit agent behavior in production.
  • Security by Design: Understand how to build safer agents from the start—through guardrails, tool restrictions, and prompt architecture.
  • Monitoring and Runtime Defenses: See why static filters fall short and how real-time, session-aware security can catch stealthy and dynamic attacks.
  • Case Study: Dropbox: Get a behind-the-scenes look at how Dropbox secured its AI agent stack with Lakera Guard—protecting users while scaling across the organization.

Packed with tactical guidance and grounded in real deployments, this guide helps teams confidently secure GenAI agents—before the risks become real-world incidents.