Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your senior leadership started stressing out about data breaches. It’s not that they haven’t worried before, but they’ve also started looking at the rising tide of data breach awareness. Specifically, they’re starting to see more new security and privacy laws passed at the state and federal levels. Now, you’ve been tasked with the very unenviable job of choosing a compliance framework, and you’re looking at the Center for Internet Security (CIS) Controls.

Denver, Colorado, is home to beautiful mountain views and an airport with an interesting Wikipedia page. You might know it as home to multiple sports teams or as the Mile High City (1.34 KM High City) due to its famous elevation. Or you might know it as the home of the Great American Beer Festival.

In order to prevent worst-case data leak and data loss scenarios, security teams need to have both proactive and reactive measures in place. Let’s explore this further with an example. Imagine your sensitive data as valuables within a house. There are multiple ways to secure that house, including the following. To put this example into practice, security teams would need to: The first and last of these bullet points fall under the umbrella of SaaS Security Posture Management, or SSPM.

Netskope Threat Labs has observed an evasive Azorult campaign in the wild that employs multiple defense evasion techniques from delivery through execution to fly under the defender’s radar as it steals sensitive data. Azorult is an information stealer first discovered in 2016 that steals sensitive information including user credentials, browser information, and crypto wallet data.

In the busy domain of artificial intelligence (AI), the emergence of Private Language Model Models (LLMs) marks a pivotal development in addressing the escalating concerns surrounding data protection. As organizations harness the power of AI to glean insights and streamline operations, the need for safeguarding sensitive information has become more pronounced than ever.

One of the biggest issues facing government and industry is how to securely share sensitive and classified information. While information sharing and collaboration have tremendous benefits for productivity and service outcomes, they do come with risks. A dynamic, data-centric approach is key to securing sensitive information and achieving compliance.

New analysis of incident data shows threat actors are evolving their attack techniques to take advantage of budget and resource-strapped small businesses. We’ve seen industry data showing that cybercriminals have been slowly creeping downward from solely going after enterprises to targeting the SMB.