FriendlyData VS Koreshield

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

• Prompt & input protection
  Screens customer messages, files and pasted input
• RAG Security
  Checks retrieved documents and knowledge-base context.
• Tool action governance
  Checks proposed tool calls before they execute.
• One policy, many models
  One policy across OpenAI, Anthropic, Gemini. etc.
• Detect before enforce
  Start in detect mode, enforce route by route.
• Decision record
  Every request stored with its verdict and reason.
• Sub-50ms overhead
  Under 50ms added to each request.
• Self-hosted option
  un the boundary in your own infrastructure.