Security Information and Event Management (SIEM) technology provides visibility across an organization's information security systems by collecting and correlating events from logs across many different sources. Security analysts use tools like a SIEM to go “threat hunting”. By correlating disparate events across systems, they can often detect Indicators of Compromise (IoC’s) that may otherwise go unnoticed on individual systems.
The need to employ data governance over sprawling repositories is essential in any industry, but it is especially important for the life sciences. The amount and types of data produced are not easily reviewed and organized. The value and sensitivity of the data makes it a lucrative target for cyber attacks. Egnyte’s data governance features give you more control over your data integrity, data privacy, and data security policies across a multitude of public cloud repositories.
Modern drug discovery and clinical trials produce a volume of data that can quickly overwhelm local storage and bandwidth capacity. Sequencing data, scanned source files, biostatistical (SAS, R, SPSS) databases, and DICOM imaging are all hard to store and collaborate on, especially with a distributed workforce. Egnyte’s platform has been facilitating secure sharing of files for over a decade, accelerating the ability to collaborate without sacrificing security.
Organizations in the life sciences industry need to maintain regulated data in compliance with a number of global data privacy laws. Ideally, compliance is automatically ensured, and data is easily categorized. But we all know that this is not always the case in a decentralized, dynamic environment. So, how are the leading biotechs efficiently and securely managing collaboration and data?
