Responsible AI

Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to employ AI in a safe, trustworthy, and ethical fashion.

• Generative AI uses algorithms to generate new content (written content, images, video, audio, and computer code, etc.) based on user input. Unlike earlier versions of AI, generative AI can create new content, like news articles, poetry, or cyber threat analyses, presented in a conversational UI.

• Conversational AI mimics human conversation and speech using techniques such as NLP and transformers to generate personalized responses.

• Cognitive AI uses techniques such as natural language processing (NLP) and machine learning (ML) to mimic human cognitive abilities.

• Retrieval AI searches information from large datasets, and uses AI techniques to retrieve the most relevant results matching the intent of the user's query.

AI can enhance data management and make it more efficient, such as by automating data classification or detecting anomalies. 

Cohesity built AI into several of our products to help detect threats, classify large volumes of unstructured data, and protect critical data and workflows. 

Two ways we use AI include: 

• We use AI to boost data security. We can secure data and strengthen your cyber resilience with threat detection and data classification.

• We help you get more from your stored data. Cohesity Gaia is an AI-powered data insights solution that can conduct semantic searches and create answer summaries from your enterprise data. Using your backups as a data source, Cohesity Gaia can unlock the knowledge in your data.