Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Earlier this year, the news broke of a new method that attackers were using to infiltrate Google Drive.

Kubernetes clusters have become the go-to solution for hosting applications in the cloud. Most cloud providers offer Kubernetes services, such as the Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (Amazon EKS), or Google Kubernetes Engine (GKE). But are you spending too much on compute resources in the cloud? Is your load pattern complex and difficult to predict? Is the load growing inconsistently or are you running applications on-demand that could cause sudden bursts?

User privacy and cybersecurity are two terms that often get used interchangeably when we talk about protecting our information on the internet. However, privacy and security are different areas of practice – only recently have these two areas come to intersect. In 2018, Harvard Business Review reported, “[P]rivacy and security are converging, thanks to the rise of big data and machine learning.

As workforces continue to evolve and adapt to the COVID-19 pandemic, the door is open for organizations to hire workers from anywhere around the country to offer their skills remotely as needed, often as a freelancer or gig worker. While this outgrowth of the burgeoning gig economy stands to benefit many businesses in need, it’s important that you assess your risk of utilizing gig workers and freelancers.

Most organizations are aware that data loss prevention must be a top priority – but few understand how different tools and policies must be leveraged in combination to create complete, 360-degree protection for critical data. Data loss prevention (DLP) has traditionally focused on securing data on devices – laptops, phones, and internal company networks.

If you read our earlier blog, you know Egnyte commissioned a study to better understand how COVID-19 has impacted businesses’ ability to maintain data security and governance with a distributed workforce. The results can be found in our inaugural Data Governance Trends Report. The report offers insights into tools that the 400 IT leaders implemented to help weather the abrupt change, but it also explains the human side of data protection and governance in the age of COVID.

Industry: Healthcare Employees: 244 HQ Location: San Diego, CA Keely Strong, Director of Operations Complex problems, like delivering high quality mental health services during a pandemic, require creative thinking. Foresight Mental Health began at the intersection of ingenuity and necessity: changing the way people interact with and think about mental health care by creating accessibility through the use of insurance plans and increasing provider availability.

Last year, we wrote about the threat landscape we saw on the horizon for 2020 in our SaaS threat landscape post. Focusing on apps like Slack, we honed in on the risks that would matter in 2020. Although our analysis was written well ahead of the COVID-19, some of our concerns were exacerbated as a result of the pandemic. With the pandemic continuing into 2021, we wanted to take the time to review the state of cloud adoption in 2020 and update our threat assessment going into the new year.

Just this week, the news broke that a poorly-secured AWS server exposed over 10 million hotel reservation logs from Cloud Hospitality websites, putting the information of millions of guests at risk. As of June 2020, more than 3.2 million consumer records have been exposed in the ten biggest data breaches this year. Organizations in virtually every industry struggle to get data loss prevention (DLP) right due to one big misconception about this important cybersecurity practice.