Organizations need a new approach and toolkit to properly manage, identify, categorize, and secure #unstructureddata risks. Tackle this growing challenge by following the three steps below to continuously identify, quantify, and control risk within all types of unstructured data: https://lnkd.in/exXPA_f6
DryvIQ
Software Development
Ann Arbor, Michigan 2,559 followers
The intelligent data management platform for making content accessible, analyzable, and actionable.
About us
DryvIQ is the leader in unstructured data management, revolutionizing how organizations ensure unstructured data is always business-ready for transformation initiatives. Trusted by over 1,100 organizations, DryvIQ’s patented AI-driven platform enhances the quality of unstructured data by making it accessible, analyzable, and actionable at scale like never before. ACCESS: Organizations can easily access and manage their unstructured data, regardless of its location, through a single platform. DryvIQ integrates with more than 40 on-premises and cloud-based storage repositories, including Microsoft, Google, Box, and Amazon S3, to name a few. ANALYZE: With DryvIQ, organizations can structure all of their unstructured data for in-depth discovery, categorization, and analysis. The DryvIQ platform provides an at-a-glance visual representation of all data, regardless of location, enabling data owners to understand what data they have, where it resides, its sensitivity, business value, and how it is being used and shared—all through a single pane of glass. Additionally, admins can create custom insights to support ongoing or upcoming data initiatives. DryvIQ offers pre-trained AI models that identify over 5,000 forms, 1,000+ document types, 175+ languages, and 160+ entities. TAKE ACTION: With DryvIQ’s always-on, all-in-one platform, organizations can automatically and continuously take action to cleanse and reduce stale data, label, tag, and classify their data, govern access control, redact data, update permissions, migrate to a new storage platform, or perform hundreds of other actions required to ensure their unstructured data is always ready to support critical business initiatives.
- Website
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http://www.dryviq.com
External link for DryvIQ
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Ann Arbor, Michigan
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Storage Platform Integration, Enterprise Content Management, Storage Platform Synchronization, Storage Platform Migration, Enterprise File Sharing , data governance, data integration, Data Insights, Data Analytics, GenAI Readiness, Unstructured Data Management, and Intelligent Data Management
Locations
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Primary
Get directions
24 Frank Lloyd Wright Drive
Suite B-1400
Ann Arbor, Michigan 48105, US
Employees at DryvIQ
Updates
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Despite its promise, #GenAI presents substantial challenges for 90% of all data – unstructured data. Unleash the untapped potential in #unstructureddata by addressing the key concerns like data quality and data security: https://lnkd.in/g5KEexYY
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DryvIQ reposted this
Box is thrilled to announce that we're building a thriving AI ecosystem right here, and it's all thanks to you! Recently, we brought together industry leaders and innovators at BoxWorks 2024 in San Francisco. But that's not all – we're also doubling down on our commitment to fostering a robust partner ecosystem. By seamlessly integrating with third-party AI solutions, we're empowering our partners to deliver even more value to their customers. Curious to learn more? Dive into our latest blog post now: https://lnkd.in/gJAR9eSb Atlassian, Amazon Web Services (AWS), Bubo Defense, Coda, DryvIQ, eBrevia, Evisort, Hive, Hunch, Intercom, Leena AI, LlamaIndex, LILT, MediaCAT, Moveworks, mxHERO, Nerve AI, Reva Solutions, Salesforce, Salesforce Partners, Sana, SparkGrid Software, Teknita, TeraDact, Tribble, VEED.IO, Wayfound
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At DryvIQ, we fully believe that we do the best work of our lives because we work with the best people. To highlight these amazing people, we'd like to introduce you to Nicole Mounts! And get to know what it's like to work with the rest of us at DryvIQ: https://lnkd.in/eWqA2nSY
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Is your data ready for business? Having an “always up-to-date” understanding of financial risk is essential for prioritizing cyber resilience projects and keeping your #unstructureddata protected: https://lnkd.in/gDv_YKre
Data Regulations are Constantly Changing—Your Data Management Should Too | DryvIQ
dryviq.com
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Managing all of your unstructured data is still a challenge that organizations have only started to wrap their heads around. To maintain the value and purpose of your documents, it’s time to address the #unstructureddata challenge and conquer this mountain of crucial and sensitive information often contained within these files: https://lnkd.in/giQDg-XF
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The first step of sensitive data discovery and migration is understanding what data is considered “sensitive” to begin with. See what consumer data privacy laws that American businesses need to be aware of: https://lnkd.in/gpu4857B
What Federal Laws Protect Data Privacy? | DryvIQ
dryviq.com
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Knowledge is power. By confronting the problem and understanding where your data is accumulating and how users are interacting with it, you can enhance your data security, ensure compliance and support data-driven innovation. After all, you know you have #darkdata lurking around. And guess what? Bad actors know it too: https://lnkd.in/gQf79BGu
Council Post: Out Of The Shadows: Uncovering The Dark Data In Unexpected Places
social-www.forbes.com
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We talk a lot about discovering your #UnstructuredData... But what is it exactly? If you’re not an expert in data protection regulations or machine learning, not to worry, we've got you covered: https://lnkd.in/gc_2cCFw
What Is Sensitive Data Discovery? | DryvIQ
dryviq.com
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As data volumes rise, data protection regulations grow in strength, and bad actors continue their #cyberattacks, financial institutions need to remain on high alert when it comes to securing their customers’ sensitive information. Check out these three steps to minimize risk exposure and protect consumer financial information: https://lnkd.in/g_HmX5R9
How to Identify & Protect Consumer Financial Information
dryviq.com