Skip to main content

Chapter 6: Security and Safety in the Age of LLMs

This chapter addresses the critical security and safety challenges in LLM applications, covering threat identification, defense mechanisms, and ethical considerations.

Series in This Chapter​

Series 1: Understanding LLM Security Threats​

  • Article 81: The Current State of LLM Security (2025 Update)
  • Article 82: Prompt Injection: The #1 Threat to LLM Applications
  • Article 83: The Policy Puppetry Attack: Universal LLM Jailbreaks
  • Article 84: Advanced Jailbreaking Techniques and Social Engineering
  • Article 85: System Prompt Extraction and Information Leakage

Series 2: Modern Defense Mechanisms​

  • Article 86: DefensiveTokens: Test-Time Security Solutions
  • Article 87: SecurityLingua: Security-Aware Prompt Compression
  • Article 88: Advanced Cognitive Inoculation Techniques
  • Article 89: Input Sanitization and Output Filtering
  • Article 90: Building Layered Security Systems

Series 3: Ethical and Responsible AI​

  • Article 91: Understanding and Mitigating Bias in LLMs
  • Article 92: The Importance of Data Privacy and Compliance
  • Article 93: Preventing Misinformation and Hallucinations
  • Article 94: The Carbon Footprint of LLMs and Sustainability
  • Article 95: Building Ethical AI Systems and Governance

Learning Objectives​

By the end of this chapter, you will:

  • Understand the major security threats facing LLM applications
  • Know how to implement effective defense mechanisms
  • Be aware of ethical considerations in AI development
  • Understand how to build secure and responsible LLM systems
  • Know best practices for compliance and governance