Cohesity Turing makes it easier and safer to bring AI to your data
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, Cohesity Turing unlocks countless opportunities to boost the power of your data.
Protect access to your data with RBAC controls. Promote transparency and accountability around access and policies.
Define what data should be shared with your AI models and what data and output is available to your workforce, based on their roles.
Integrate indexed and searchable data securely and easily while ensuring data is immutable and resilient.
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. Statton also shows the advancements in search and discovery using retrieval augmented generation (RAG) to drive rich conversations with data.
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.”
Founder, CEO and Chief Analyst, Moor Insights & Strategy
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.”
CEO, Google Cloud
Learn more about responsible AI and data governance
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 has 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 data isolation, threat detection, and data classification.
We help you get more from your stored data. With granular access controls and global search capabilities, you can search across multiple workloads and histories of snapshots. Find more details here.