- Company (that provides the nominated product / solution / service): Myriad Software Productions, LLC (ClassiDocs)
- Website: http://www.classidocs.com
- Company size (employees): 10 - 49
- Country: United States
- Type of solution: Software
In 3 bullets, summarize why this product or service is different from the competition and deserves recognition:
User FIRST design principal enables a higher usability, engagement and accuracy from your data users - the folks that actually know what is in the data! Very different from its competition.
Global enterprise infrastructure engagement - fancy words for 'everything helps' - to classify data means you have 10,20,50,100,000 cores assisting - rapid 'time to full classification' - an industry first.
Integration to leading internal and perimeter security platforms means 'everything works better' when everyone has more and better accurate data points - an industry first.
Designed with the user first methodology – data classification becomes more reliable, accurate and valid. Engaging the whole technology estate to assist in classification activities ensures that classification for all data at rest is done very quickly (sometimes hours!), and RE-classification is done just as quickly.
The product engages the users in an non-obtrusive and user friendly way – indeed it was designed up front to be something that you should not have to train users – enabling rapid time to deploy and usage – something that is critical in today’s hostile environment.
Also offering a full RESTful API for other products to integrate to, ClassiDocs is the first product on the market to engage your perimeter and internal alerting systems properly – integrating to leading platforms such as Splunk, RSA Archer, Oracle Identity Manager – the data points that accurate data classification give you enable a whole new set of more accurate security response data points.
Built in analytics, reporting and dashboards round out the solution – helping you understand not just who has access to what – but WHAT is actually in the datasets – infinitely more important!