Responsible AI
Define what data should be shared with your AI models and protect access to it with RBAC controls. Promote transparency and accountability around access and policies.
AI is only as good as the data used with ML, LLM, and NLP. Cohesity Turing makes it easier for organizations to create AI-ready data that’s secure and available, when needed. Whether you’re searching data over decades for patterns, conversational reporting, or autonomous monitoring and remediation of issues, Turing unlocks countless opportunities to harness the potential of your data.
Define what data should be shared with your AI models and protect access to it with RBAC controls. Promote transparency and accountability around access and policies.
Integrate indexed and searchable data securely and easily while helping ensure data is immutable and resilient.
Transform data into knowledge and make smarter business decisions faster.
Watch as Gregory Statton, Office of the CTO - Data & AI, talks about Cohesity's vision for AI, including helping customers reduce their time to action through Operational Insights. He also shows the advancements in search and discovery using retrieval augmented generation (RAG) to drive rich conversations with data.
Start having a conversation with your data. Using common language, ask questions about your data and await responses. Ask follow-up questions, dig deeper into datasets, and let Cohesity Gaia support more in-depth data analysis.
Use natural language to create queries that can unlock deep learnings and insights hidden in your data.
Advanced search capabilities, powered by RAG AI technology, can deliver informed answers to questions hidden in your business and application data.
Gain deep, meaningful insights and learnings into your organization and data.
See our shared vision for how customers of Microsoft and Cohesity can securely use AI to transform data security initiatives.
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.
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: