OWASP Top 10 LLM Security Risks: Prompt Injection and Data Leakage Take Center Stage

OWASP published the top 10 security risks for LLM applications, critical for AI agents: prompt injection bypassing rules, data leakage, excessive agency performing unauthorized actions, model DoS, and supply chain vulnerabilities. Includes Python defense code requiring confirmation for sensitive actions.

💡 What You Will Learn

OWASP published the top 10 security risks for LLM applications, critical for AI agents: prompt injection bypassing rules, data leakage, excessive agency performing unauthorized actions, model DoS, and

📜 Table of Contents

• OWASP LLM Security Risks
• Top risks
• Defense

OWASP LLM Security Risks

OWASP published the top 10 security risks for LLM applications. These are critical for AI Agents.

Top risks

1. Prompt injection - users bypass security rules
2. Data leakage - agent exposes sensitive info
3. Excessive agency - agent performs unauthorized actions
4. Model DoS - malicious input causes crash
5. Supply chain - third-party plugins with vulnerabilities

Defense

def check_sensitive_action(action):
    blocked = ["delete", "drop", "remove"]
    if any(op in action for op in blocked):
        return require_confirmation()
    return True

Security is not optional for AI Agents in production.