Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

It's no surprise that organizations are moving to the cloud to innovate — to meet the growing demands of their customers and digital transformation. Organizations want to build applications that are fast and scalable. They want to make use of the latest cloud-native capabilities like containers, orchestrators, microservices, APIs, and declarative infrastructure. However, this also means security in the cloud cannot be an afterthought.

Artificial intelligence has arguably overstayed its welcome as a buzzword in the technology realm, leading to debates around the efficacy of the tool and definition of the term for the better part of two decades. But in the world of cybersecurity, businesses are just beginning to reap the benefits of advanced machine learning models that can actually keep up with ever-changing threats from cybercriminals with nothing but time on their hands to break algorithm-based defenses.

The advent of connected devices has brought about significant change in the technology industry. We all accept that data is power – the more we know about our devices and users, the more effectively we can serve their needs. The integration of connected devices has transformed several industries, including healthcare, transportation, and manufacturing.

This MIT Technology Review headline caught my eye, and I think you understand why. They described a new type of exploit called prompt injection. Melissa Heikkilä wrote: "I just published a story that sets out some of the ways AI language models can be misused. I have some bad news: It’s stupidly easy, it requires no programming skills, and there are no known fixes.

The efficiency, security, and scalability of cloud operations are driving financial institutions’ adoption of the technology faster than ever before. The ability to meet customers where they want to transact, personalize solutions, and leverage new data and analytics solutions (including AI) on-demand is driving this growth. In fact, according to Accenture, the banking industry's workloads in the cloud more than doubled from 2021 to 2022.

Optimize your security workflows and deliver intelligence everywhere you work with the largest ecosystem of integrated technology partners in cyber risk ratings. SecurityScorecard provides Application Programming Interface (API) access for all our data allowing you to get more contextual security insights, app integrations, and detailed information about your current or prospective vendors. You can leverage our APIs and Integrations in the following ways.

Over its history Netskope has delivered many tools to integrate its various solutions and findings with Microsoft products. We have built multiple integrations with Azure Active Directory, Azure Sentinel, Azure Monitor, and Azure Blob and Compute. All of these are very helpful in unlocking base or advanced functionality to augment Microsoft solutions.

New insights from cybersecurity artificial intelligence (AI) company Darktrace shows a 135% increase in novel social engineering attacks from Generative AI. This new form of social engineering that contributed to this increase is much more sophisticated in nature, using linguistics techniques with increased text volume, punctuation, and sentence length to trick their victim. We've recently covered ChatGPT scams and other various AI scams, but this attack proves to be very different.

In a groundbreaking move, Italy has imposed a ban on the widely popular AI tool ChatGPT. This decision comes in the wake of concerns over possible misinformation, biases and the ethical challenges AI-powered technology presents. The ban has sparked a global conversation, with many speculating whether other countries will follow suit.