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.

One significant negative implication of technology’s continual evolution is proportional advancement in nefarious internet activities, particularly cyber attacks. The past few years have seen a rising sophistication in cyber attacks at levels never experienced before. The worst fact is that attacks will likely only continue to get more advanced. To fight them, enterprises need to be armed with greater security tools. Legacy approaches to cybersecurity no longer cut it.

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IT leaders are being kept up at night by one big worry: the increased risk of a data breach due to more employees working remotely. Forty percent say this is their top concern when it comes to remote work. And with good reason. Remote work, especially when accelerated by events like COVID-19 pandemic, compels employees to work on unsanctioned devices, apps, and networks, increasing the attack surface for bad actors, and leaving few checks in place for careless behavior that leads to data leaks.

In 2018, it was estimated that more than 20 million people share files each day across a variety of platforms. Since the rise of remote work, that number has only skyrocketed. Every time your business shares a file internally, with a business partner, or to the public, the risk of that data falling into the wrong hands increases.

Data loss prevention (DLP) tools and processes help ensure that critical data is not accessed by or tampered with by unauthorized users. The underlying technology that can make or break your success in data loss prevention is data classification. This article explains how data classification affects the success of your data loss prevention measures.

The rapid proliferation of digital content and the increasing sophisticated cyberattacks has forced enterprises to resort to Enterprise Digital Rights Management (EDRM) to protect their important data and information. Insider attacks are one of the most serious cybersecurity threats. Among all insider attacks, information theft is considered the most damaging in terms of potential financial loss.

Fintech companies – those that offer technology to support the banking and personal finance industry – are increasingly at risk of cyberattack. After healthcare, fintech is the second most frequently attacked industry, according to Alissa Abdullah, senior vice president of cybersecurity technology at Mastercard. Fintech News found that 27% of attacks target banks or healthcare.