Descripción del proyecto
Protección de datos en curso
Cuanto más avanza la tecnología digital, mayor es la cantidad de información sensible que las empresas agregan y analizan, y más difícil es proteger estos datos. La incapacidad para proteger datos sensibles puede dar lugar a multas abultadas y perjuicios duraderos para la reputación y la marca de una empresa. El proyecto financiado con fondos europeos Data Tracker TM está desarrollando una tecnología para ayudar a las empresas a identificar datos sensibles. Su MinerEye Data Tracker™ se basa en la tecnología interpretativa de la inteligencia artificial y utiliza visión artificial y aprendizaje automático para rastrear, identificar y clasificar todos los datos de una empresa. Al trabajar al escala de píxeles, genera «huellas dactilares» de los datos, lo que crea un proceso de aprendizaje para la optimización del contenido.
Objetivo
The basis for properly protecting data relies on being able to dynamically identify it and understanding the way it behaves,
however companies fail in achieving this today. Current solutions and technology constraints compel chief data officers
(CDO) and chief information security officers (CISO) to spend massive amount of money and resources to define and
identify sensitive data.
MinerEye has developed a proprietary technology to match data to a reference set using advanced technics applied
originally in computer vision applications and machine learning solutions, to automatically categorize, classify and track
unstructured data. This set of algorithms read the bytes of a given file and represent its content by creating a single
mathematical vector on the fly, that is constant in size and very small (few k’s) per each file.
From this point on, the system (DataTracker™) uses this vector called “signal”, that is extracted from every file it scans, for
its unsupervised clustering and further analysis tasks. This capability allows the system to process unprecedented amount of
data in a very short period (~1TB/3hrs.). The system does not dispose files from their original storage / location, opens or
changes the file but rather reads their byte stream, creates the signal on the fly and sends it out to the server. This saves
enormous network load when learning the sensitive data patterns and attributes and strengthens the non-intrusive nature of
the system. The signal can be refreshed on any scheduled basis since the data does not change in such a pace that would
affect its accuracy in the clustering process. Additionally, the scheduled scan is incremental. Powered by Interpretive AI™
Technology, MinerEye sees beyond form and file, tracking sensitive data by its essence. MinerEye does not just see
numbers, names, and file types. It sees contracts, customers’ personal data, chemical patents, most sensitive designs and
sketches, and more.
Ámbito científico
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-2
Régimen de financiación
SME-2 - SME instrument phase 2Coordinador
459005 HOD HASHARON
Israel
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.