Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Egnyte’s content lifecycle management solution gives customers full control and flexibility over content at all stages of its lifecycle, from migration of data into Egnyte to managing retention, archival and deletion, and end of life content. Unlike point solutions, Egnyte provides a robust product suite that addresses consolidation of content across repositories, management of content within Egnyte, and content that should be archived. Here's a quick recap of what’s included.

Egnyte now offers email scanning and classification of Microsoft Online Exchange emails and attachments. This is a critical capability for organizations that need to deploy consistent document classification and governance across all documents, whether they exist in an Egnyte cloud repository, with other cloud providers, or on premises.

Egnyte stores, analyzes, organizes, and secures billions of files and petabytes of data from millions of users. On average, we observe more than a million API requests per minute. As we scale, we have to address challenges associated with balancing throughput for individual users and delivering exceptional quality of service. For example, some Egnyte hosted content that is publicly shared (via our share file and folder links feature) can suddenly go viral.

The past year and a half has posed unprecedented challenges to society, at every level. For companies adjusting to a more distributed workforce, with newly remote workers and no central place of business to anchor their teams, the corresponding flood of unmanaged content and shadow IT has been a serious test of their organizational fortitude. For these companies, business-critical content can go unchecked, dispersed between the cloud and corporate hard drives—a scenario known as content sprawl.

The AEC industry is very familiar with good risk management. Whether it is managing safety risk, financial risk, legal risk, or project risk, AEC firms are adept at identifying, prioritizing and mitigating risk. Today, the risk of ransomware seems high, with a steady stream of news stories about the latest company to fall victim to an attack. But is it high for everyone in every industry?

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.

Ransomware. Nearly every day, we learn about another major attack on companies such as JBS, Kaseya, and Quanta, a key supplier to Apple. Along with the increase in attacks, recent reports have shown the average ransomware recovery cost skyrocketed to $1.85 million this year. And, as companies have become more willing to accept attackers’ ransom demands to restore their mission-critical operations, the average ransomware payment has jumped to more than $170,000.

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?