Applying Security Engineering to Prompt Injection Security

The post discusses Google DeepMind’s CaMeL, a security-engineering-based architecture to defend against prompt injection by isolating LLMs as untrusted components and enforcing capability-based access control and data flow tracking, rather than relying on models to self-detect attacks. It links to the research paper and external analysis, positioning CaMeL as a structural mitigation that maintains boundaries even if an AI component is compromised.