This is the third entry in a series of articles focused on AI/ML. Natural language processing (NLP) is a form of artificial intelligence (AI) that gives machines the ability to read, understand, and derive meaning from human languages. NLP powers many applications that we use every day, such as virtual assistants, machine translation, chatbots, and email auto-complete. The technology is still evolving very quickly.
Netskope Threat Labs is warning users to be careful of spam messages being shared via Google Docs. The spam messages come in the form of a comment on a document or presentations and are sent by [email protected]. Both the comment and the document link the user to a spam or scam website. Because the messages are sent by Google Docs, it is likely that your spam filters do not detect and block these messages. In fact, docs.google.com may be explicitly allowed by your spam filters.
Every organization is adopting the cloud, but there are some companies that are reaping a larger number of benefits from cloud transformation than others. Making an effort to adopt the cloud is simply not enough to realize the benefits. The organization that prepares for efficiently managing risk will be able to capture a larger percentage of the benefits than one that has not.
By this time in 2020, you’re probably well past the panic of pandemic cybersecurity. The “New Normal” isn’t very new anymore and what was once perceived as short term crisis management of security is looking more like a long term solution. As we look ahead, it’s important to look at what we’ve learned from this situation, as security professionals and how we can apply that to the long road we still have ahead of us.
This week Netskope hosted our annual executive briefing with the US Embassy in London, converted, in common with many events this year, into an online webinar. We wanted to take the opportunity to consider what impact this year’s unprecedented changes and uncertainty were having on the cybersecurity landscape.
With Gartner releasing its latest Magic Quadrant for WAN Edge Infrastructure earlier this month, it seemed an appropriate time to explore the intersection of SD-WAN and SASE. Both of these technological approaches hold great promise and are large, billion-dollar markets, sharing the common goal of connecting users to the data and applications critical to doing their job. The two technologies demonstrate the increasing overlap and tightening linkage between networking and security investments.
Today’s security operations require coordinated efforts from multiple team members, many of whom are in different roles and technology specializations. Complexity inhibits the ability to conduct time-sensitive operations such as incident response. Security engineers and the threat hunters have to be on the same page when it comes to establishing priorities and conducting investigation, across the entire detection & response lifecycle.
Recall from Part One that we identified three different places in a SASE product where TLS 1.3 support is relevant. In descending order of importance, those places are: proxy, tunnel, and management interface.
Malicious Microsoft Office documents are a popular vehicle for malware distribution. Malware families such as Emotet, IcedID, and Dridex use Office documents as their primary distribution mechanism. Several recent Emotet attacks used a novel approach to sending email baits and hosted the malicious documents in cloud apps to increase their success.
“The more things change, the more they stay the same.“ In the recent Equinix breach in September 2020, 74 RDP servers were exposed to the Internet. Any publicly exposed ports are a risk but remote access protocols such as RDP have had their share of critical vulnerabilities (e.g., BlueKeep in 2019).
