Summary

Securing LLMs is an essential and ongoing process that requires vigilance and a multi-layered strategy to counteract a spectrum of vulnerabilities. Adversarial attacks that manipulate data to deceive models must be countered with rigorous testing and well-crafted defenses. Regular vulnerability scanning and testing are crucial to uncover emerging threats, while proactive security measures and continuous security monitoring ensure that protections evolve in tandem with new attack vectors. Collaboration among developers, security experts, and the wider community enhances these efforts, forming a comprehensive defense against the misuse or malfunction of LLMs. These security practices, accompanied by continuous ethical assessments and updates, are integral to maintaining the integrity, performance, and reliability of LLMs, thereby ensuring they are aligned with evolving societal values and legal standards.

In the next chapter, we present case studies with business applications...