EthosGuard INSIDER™ is an embeddable API designed to protect the most vulnerable point in the AI ecosystem: the space where humans and large language models interact. INSIDER applies real-time guardrails that evaluate prompts before they reach the model, filtering unsafe inputs, preventing data leaks, mitigating prompt injection, and supporting responsible AI use at the point of interaction.

• For public LLM providers, INSIDER helps reduce harmful or misaligned use that can erode model integrity and safety over time.

  
  

• For AI solution companies, INSIDER provides a robust protection layer that safeguards users, stabilizes system behavior, and helps maintain trust in AI-powered products.

  
  

• INSIDER includes carefully engineered rule sets and supports fully custom rule development for domain-specific needs, delivering speed, adaptability, and precision in environments where model-level safety alone cannot operate effectively.