SaaS Application | Breaking Cybersecurity News | The Hacker News

SaaS applications make up 70% of total company software usage, and as businesses increase their reliance on SaaS apps, they also increase their reliance on those applications being secure. These SaaS apps store an incredibly large volume of data so safeguarding the organization's SaaS app stack and data within is paramount. Yet, the path to implementing an effective SaaS security program is  not  straightforward.  There are numerous potential attack vectors. Security teams need to handle the challenge of gaining control over a diverse range of applications, each having its own unique characteristics. Additionally, the SaaS app environments are dynamic and the proactive configurations needing adjustments from updates, onboarding, deprovisioning, changing roles and permissions and much more, is endless.  If that's not enough complexity, these applications are managed by various business departments, making it impractical for the security team to exercise complete co...

With the record-setting growth of consumer-focused AI productivity tools like ChatGPT, artificial intelligence—formerly the realm of data science and engineering teams—has become a resource available to every employee.  From a productivity perspective, that's fantastic. Unfortunately for IT and security teams, it also means you may have hundreds of people in your organization using a new tool in a matter of days, with no visibility of what type of data they're sending to that tool or how secure it might be. And because many of these tools are free or offer free trials, there's no barrier to entry and no way of discovering them through procurement or expense reports.  Organizations need to understand and (quickly) evaluate the benefits and  risks of AI productivity tools  in order to create a scalable, enforceable, and reasonable policy to guide their employees' behavior.  How Nudge Security can help Nudge Security discovers all generative AI accounts ever c...

The problem is simple: all breaches start with initial access, and initial access comes down to two primary attack vectors – credentials and devices. This is not news; every report you can find on the threat landscape depicts the same picture.  The solution is more complex. For this article, we'll focus on the device threat vector. The risk they pose is significant, which is why device management tools like Mobile Device Management (MDM) and Endpoint Detection and Response (EDR) are essential components of an organization's security infrastructure. However, relying solely on these tools to manage device risk actually creates a false sense of security. Instead of the blunt tools of device management, organizations are looking for solutions that deliver device trust . Device trust provides a comprehensive, risk-based approach to device security enforcement, closing the large gaps left behind by traditional device management solutions. Here are 5 of those limitations and how to ov...