How to secure your AI Agents: A Technical Deep-dive

Security
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How to secure your AI Agents: A Technical Deep-dive AI agents introduce unique security challenges like prompt injection, data leakage, and excessive agency. This workshop breaks down the OWASP LLM Top 10 and demonstrates how to implement robust security controls using Model Armor and the Agent Development Kit (ADK). Learn how to filter malicious inputs, redact sensitive data from outputs, and manage authentication patterns to build secure and reliable agentic workflows. Resources: Explore the Agent Development Kit → Subscribe to Google for Developers → Chapters: 0:00 - Introduction to agent security 1:32 - OWASP LLM top 10 vulnerabilities 2:56 - Sensitive information disclosure 4:10 - Excessive agency risks 5:11 - Input filtering with Model Armor 6:26 - Demo: blocking prompt injection 10:18 - Output filtering and PII redaction 11:09 - Demo: redacting sensitive data 12:43 - Authentication and authorization patterns 13:44 - Agent-to-tool authentication flow 16:13 - Managing API keys with Secret Manager 18:05 - Security for A2A and MCP protocols 19:22 - Supply chain security measures 22:25 -Protecting agent access and integrity Subscribe to Google for Developers → Speaker: Sita Lakshmi Products Mentioned: Agent Development Kit (ADK) #AIAgents #ADK #AgenticSecurity
  2025/12/03      youtube

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