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.
Responsible AI
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.
overview
Maximize your potential, minimize your risk
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.
Transparency
Protect access to data with role-based access controls. Promote transparency and accountability around access and policies.
Governance
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
Access data responsibly via RBAC, non-destructively index the data, then search it and summarize it with speed and efficiency.
INTERACTIVE DEMO
Demo: Usher in a new era in data security and management with AI
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.
Benefits
Retrieval augmented generation (RAG) AI in action
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.
Conversational data
Use natural language to create queries that can unlock deep learnings and insights hidden in your data.
AI-powered search
Advanced search capabilities, powered by RAG AI technology, can deliver informed answers to questions hidden in your business and application data.
Turning data into knowledge
Gain deep, meaningful insights and learnings into your organization and data.
VIDEO
Using AI to unlock insights from enterprise data
See our shared vision for how customers of Microsoft and Cohesity can securely use AI to transform data security initiatives.
Testimonials
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."
Loading
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.”
Loading
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.”
Loading
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.”
Loading
- Infra Fürth
- JSR Corporation
- Moor Insights & Strategy
- Google Cloud
More AI use cases for the enterprise
Learn more about responsible AI and data governance
Start your 30-day free trial or view one of our demos.
