LLM Security

LLM security addresses the unique risks of deploying Large Language Models, including prompt injection, data leakage, and adversarial attacks on AI systems.

LLM security covers the specific vulnerabilities and risks associated with deploying Large Language Models in production.

Top LLM security risks (OWASP LLM Top 10): 1. Prompt Injection: Manipulating model behavior via crafted inputs 2. Data Leakage: Model exposing training data or sensitive info 3. Inadequate Sandboxing: LLM with excessive system access 4. Supply Chain Vulnerabilities: Compromised models or libraries 5. Training Data Poisoning: Malicious data in training sets 6. Overreliance: Trusting LLM output without validation 7. Insecure Plugin Design: Vulnerable integrations 8. Excessive Agency: LLM making autonomous decisions

Mitigations: - Input validation and output filtering - Principle of least privilege for LLM access - Human-in-the-loop for sensitive actions - Model output validation - Rate limiting and monitoring - Content filtering and guardrails

Why It Matters

As organizations rapidly adopt LLMs, new attack vectors emerge that traditional security tools cannot detect. Prompt injection can bypass safety guardrails, LLMs can leak sensitive training data, and AI agents with excessive permissions can be manipulated to take harmful actions. The OWASP LLM Top 10 provides a framework for addressing these risks, and organizations deploying AI must integrate LLM-specific security controls alongside traditional application security.

Key Points

Prompt injection is the SQL injection of AI

LLMs should have minimal system permissions

Never trust LLM output without validation

Monitor for unusual patterns and abuse

Consider data leakage in training and inference

Applicable Compliance Frameworks

ISO 27001

Related Terms

AI Governance

AI governance is the framework of policies, processes, and controls that ensure AI systems are developed and used responsibly, ethically, and in compliance with regulations.

ISO 42001

ISO/IEC 42001 is the international standard for AI management systems, providing a framework for organizations to responsibly develop and deploy artificial intelligence.