Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As businesses try to create a contactless experience amid the coronavirus pandemic, many have turned to QR codes. We’re seeing a lot of restaurants using them to display their menus on smartphones and on receipts for a contactless pay option. Within popular apps like Snapchat and WhatsApp, QR codes are an integral part of the user experience. Users can use codes to sign into their account, exchange contact information and make money transfer.

Organizations worldwide are racing to deploy large language models for competitive advantage. Yet most executives remain unaware of the hidden security risks lurking within their AI systems. A single misconfigured LLM can expose customer data, violate regulations, and destroy years of trust-building efforts. Securing sensitive data in LLM applications requires more than traditional cybersecurity approaches. These AI systems present unique vulnerabilities that demand specialized protection strategies.

There is no shortage of IT cloud software services out there for businesses to choose from. Regardless of their business needs you can be sure there will be a myriad of solutions. Instead of a few grand does-it-all services, IT has become a swarm of inter-playing, inter-operating, and interconnecting services. It’s no surprise that services like zapier and IFTTT are thriving in this ecosystem where they can become the glue and automate the gap between them. The future is surely bright.

We at Netskope Threat Labs have published a series of blogs detailing the misconfigurations in cloud apps causing data exposure. Misconfiguration and sensitive data exposure have been listed as predominant top 10 OWASP security risks for years, and are now also the predominant cause of cloud data breaches.

SIEM has traditionally earned itself a bad reputation as an unwieldy and unmanageable tool that really never lived up to its promises. In my presentation during Illuminate, I talked about what Sumo Logic is doing to modernize log analytics and SIEM as a whole. Today, we see that despite how overall technology is accelerating, security always seems to lag behind. In Sumo Logic, we address this head-on.

We are certainly in unique times, with COVID driving digital transformation at an unprecedented pace, remote work appearing to be long term, and the specter of new threats looming over security professionals as they strategized how to protect a rapidly changing business and tech landscape. To use perhaps one too many cliches: it is the best of times, it is the worst of times, the times are a changin’, and a change will do you good. No really, it will.

Kubernetes clusters have become the go-to solution for hosting applications in the cloud. Most cloud providers offer Kubernetes services, such as the Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (Amazon EKS), or Google Kubernetes Engine (GKE). But are you spending too much on compute resources in the cloud? Is your load pattern complex and difficult to predict? Is the load growing inconsistently or are you running applications on-demand that could cause sudden bursts?

Earlier this year, the news broke of a new method that attackers were using to infiltrate Google Drive.

Enabling enclaves-based security is key for enterprise cloud adoption General availability of Nitro Enclaves, recently announced by AWS, is Amazon’s way of delivering confidential computing to its customers. Following similar announcements by Microsoft Azure and Google Cloud, AWS announcement further confirms growing demand for additional runtime protection of customer’s data and other intellectual properties.