Define what data should be shared with your AI models and protect access to it with RBAC controls. Promote responsible AI, transparency, and accountability around access and policies.
The promise of AI technologies means change for the enterprise. While these advancements bring us into a new era of possibility, they can also come at a cost. So we offer both commitments and safeguards for responsible AI use.
Protect access to data with role-based access controls. Promote transparency and accountability around access and policies.
Help ensure the security and privacy of data used by AI models and the workforce—so the right data is exposed only to the right people with the right privileges.
Access data responsibly via RBAC, non-destructively index the data, then search it and summarize it with speed and efficiency.
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.
Transformation for me means simplicity and speed. With Cohesity, everything is easier across the board—whether in performance, security, or reporting. Cohesity’s strong collaboration with partners such as Nvidia will open new opportunities in the future for greater insight and value from our data."
With data in multiple countries, locations and subsidiaries, AI capabilities from Cohesity will help unlock data from the current silos to provide business insights and accelerate knowledge at JSR. Cohesity Gaia will help enable our employees to search across all our enterprise data, whether in files, SharePoint, or OneDrive to foster greater innovation for our business.”
Cohesity is helping customers get more insights from data by integrating Cohesity’s AI-ready, heavily indexed, fully-hydrated, cached, and easily-searchable data structure with Azure OpenAI.”
Vertex AI is one of the best platforms for building, deploying, managing and scaling ML models–and we’re excited that Cohesity is joining our growing open ecosystem to help more customers get value from their data via AI. Cohesity’s excellent data security and management capabilities, combined with Google Cloud’s powerful generative AI and analytics capabilities, will help customers get exceptional insights into their backup and archived data.”
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:
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