DataSense, GDPR

Announcing the Cognigo and Microsoft partnership

By Guy Leibovitz, Cognigo's CEO


Our partnership with Microsoft began thanks to our mutual clients – not only they trust us with their critical data assets but they also trust us to fulfill our joint mission –to ensure critical data assets will not fall into the wrong hands.  

During a POC in 2016, a data security officer of leading bank asked about whether our solution can integrate with Microsoft Azure Information Protection suite. He made the connection with AIP's sales director who later introduced us to the R&D and product management teams at Microsoft. 

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Microsoft is a tech giant that invests over $1B a year on data security and we were astonished by their speed and willingness to invest in innovation.
Microsoft AIP is the leading solution for unstructured data control, encryption and permission management. It can embed data classification labels on sensitive data and allows security teams to track and protect shared data usage.

Cognigo's DataSense and Microsoft's AIP provide a comprehensive human-free data protection through cognitive computing. From a compliance perspective - the solutions' integration is key in achieving "security by default" as required by the EU's GDPR.

Key advantages:

Human Free - Cognigo offers human-free classification with an ensemble of AI models can be trained on manually classified documents. The trained AI model now can predict a classification label. In other words, we created an artificial data security analyst who can label documents based on similar documents that she has seen in the past.
 
A single source of truth – Data classification is very subjective, and for a data record that one would consider as confidential – other might classify as not confidential. Cognigo learns the common DNA of the organization and eliminates this ambiguity. Unlike manual rules, AI algorithms can auto-adjust given more data, and perform better over time. This DNA mapping allows security teams to perform gap analysis of the human-driven manual classification result.

Historic data and data in the dark - AIP's classification usually works on newly created documents. That means that any unstructured data that was created prior to AIP implementation need to be tagged manually. Yet, documents that haven't been classified account for the vast majority of data – and it is simply impossible to classify that manually (this number can reach millions of documents). Our human free approach does that automatically – saving time and money while ensuring tighter security.

Enhanced Policies – Cogntive computing goes beyond content. Cognigo allows security professions to define context-driven auto-classification. For instance – apply RMS encryption on shared documents that contain more than 100 EU clients' names.

Monitor implementation progress and advanced data search – We added the ability to query on AIP label information with our native search engine. It can also provide insights to that classification status. DataSense can answer questions such as "how many documents are tagged as classified in the marketing department?" and "what are most frequent keywords in documents with the Highly Confidential label"?

Enhance tracking capabilities – RMS can track file operations, and together with Cognigo, it is can also provide better insights to the content and context involved – which is key to achieving a fast and accurate response in the case of a cyber indecent.


In today's world, data is the new currency. Protecting it requires joining forces between different vendors – now more than ever. We are looking forward to continuing working with Microsoft to keep bringing more value to our clients.  

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The GDPR comes into force on May 25th, 2018.
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Guy Leibovitz

Guy Leibovitz is the founder and CEO of Cognigo Inc. Mr. Leibovitz has over 12 years of experience in technical research and cyber security leadership. Prior to founding Cognigo, he served as co-founder and CTO at Routier. He has also served as an independent consultant to leading tech companies, specializing in applying machining learning algorithms to cyber security. Mr. Leibovitz was a senior technical lead in the elite technological unit of the Israeli Intelligence Corps. He hold a Bsc in Computer Science and Economics from the Hebrew University and has graduated advanced machine learning studies at the Weizmann Institute of Science.