This white paper outlines how Kognitos facilitates the secure and effective use of Large Language Models (LLMs) within enterprises, addressing critical challenges related to privacy and data security. Key points include:
Data Privacy and Security: Kognitos ensures sensitive enterprise data remains confidential by compartmentalizing knowledge and preventing unauthorized information exposure during LLM training.
Enterprise-Safe Learning: The Kognitos platform employs a controlled learning process, selectively exposing LLMs to domain-specific knowledge while maintaining strict data security protocols.
Transparent AI Learning: Users can review, edit, and manage learned processes in natural language, providing unprecedented transparency and control over AI behavior.
Mitigating Risks: Kognitos integrates public LLMs with robust validation capabilities to address biases and inaccuracies, ensuring reliable outputs.
Flexible Utilization: The platform allows for the use of external LLMs or homegrown models, enabling enterprises to tailor their automation strategies according to specific needs.
Financial leaders want AI but struggle with transparency, data privacy, and control. This guide helps them choose a trusted AI
How can CIOs separate agentic AI that will revolutionize their automation initiatives from the hype? This eBook provides technology leaders
Explainability in AI is crucial for understanding its decision-making process and ensuring accountability.
