How to do secure context engineering
Context engineering is rapidly becoming one of the most critical disciplines in AI system development. As large language models become more powerful and widely adopted, the security implications of context design cannot be overstated. This whitepaper explores the intersection of cybersecurity principles and context engineering, introducing the concept of "secure vibe coding."
SonnyLabs has been at the forefront of AI security, developing cutting-edge solutions for prompt injection detection and prevention. Our research team has compiled this comprehensive whitepaper to share our expertise and help organizations implement secure context engineering practices.
Executive Summary
This whitepaper covers the emerging field of secure context engineering, offering practical guidance on implementing security-first practices when designing AI system contexts. Key topics include:
- Understanding context vulnerabilities in modern LLMs
- Threat modeling for context engineering
- Implementing secure boundaries in prompt design
- Detection and prevention of context manipulation attacks
- Best practices for "vibe coding" with security in mind
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