Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.
Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI.
You'll learn:
LLM security book
Large language model security
AI application security book
Secure LLM applications
LLM security best practices
AI security for developers
Secure AI systems book
Prompt injection security book
LLM threat modeling
AI security engineering book
Secure generative AI applications
LLM security guide
AI risk management LLMs
Secure machine learning systems
LLM vulnerabilities and defenses
AI safety and security book
LLM application hardening
AI security architecture
Secure AI development lifecycle
LLM security patterns
AI model security book
Generative AI security risks
LLM security testing
AI security playbook
Secure AI application design
LLM security for enterprises
AI security for production systems
LLM data leakage prevention
Secure prompt engineering
LLM access control and monitoring
AI security best practices book
LLM security compliance
AI application threat mitigation
LLM security education resource
AI security learning guide
Secure AI software development
LLM security reference book
AI security for developers book
Secure LLM systems engineering
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