Networks

I bet many of you have experienced those frustrating moments on Zoom, Teams, or any other Unified Communications as a Service (UCaaS) platform like RingCentral. You know what I’m talking about—the dreaded video and audio glitches caused by a less-than-stellar internet connection, which are often completely out of your hands.

A new threat vector discovered by Cato Research could reveal proprietary information about the internal configuration of a GPT, the simple custom agents for ChatGPT. With that information, hackers could clone a GPT and steal one’s business. Extensive resources were not needed to achieve this aim. Using simple prompts, I was able to get all the files that were uploaded to GPT knowledge and reveal their internal configuration.

To detect lateral movement, organizations need to identify abnormal network activity, map lateral movement paths, analyze user behavior and verify unknown devices. If left unnoticed, lateral movement can often lead to data breaches and the loss of highly sensitive data. Organizations can prevent lateral movement within their network by enforcing least privilege access, implementing zero trust, segmenting networks and investing in a PAM solution.

This is another one of those blog posts from me about how I independently carried out some security research into a thing and found something, but I was just too late to the party once again . However, I want to share the journey because I still think there is some value in doing so.

Protecting an organization against every conceivable threat is rarely possible. There is a practically unlimited number of potential threats in the world, and security leaders don’t have unlimited resources available to address them. Prioritizing risks associated with more severe potential impact allows leaders to optimize cybersecurity decision-making and improve the organization’s security posture.

Atlassian recently disclosed a new critical vulnerability in its Confluence Server and Data Center product line, the CVE has a CVSS score of 10, and allows an unauthenticated attacker to gain Remote Code Execution (RCE) access on the vulnerable server. There is no workaround, the only solution being to upgrade to the latest patched versions.

Natural language prompts put the power of NQE into the hands of every networking engineer As featured in Network World, Forward Networks has raised the bar for network digital twin technology with AI Assist. This groundbreaking addition empowers NetOps, SecOps, and CloudOps professionals to harness the comprehensive insights of NQE through natural language prompts to quickly resolve complex network issues. See the feature in action.