AI coding is here, and it’s transforming the way we create software. The use of AI in coding is actively revolutionizing the industry and increasing developer productivity by 55%. However, just because we can use AI in coding doesn't mean we should adopt it blindly without considering the potential risks and unintended consequences.

Digital transformation isn’t only for the good guys. Adversaries are undergoing their own digital transformation to exploit modern IT infrastructures — a trend we’re seeing play out in real time as they increasingly adapt their knowledge and tradecraft to exploit cloud environments. According to the CrowdStrike 2023 Global Threat Report, observed cloud exploitation cases grew by 95% over the previous year.

With ever-increasing application architecture complexity, infrastructure-as-code is your key to boosting your cloud security posture.

Editor’s note: This is the final part of a five-part cloud security series that covers protecting an organization’s network perimeter, endpoints, application code, sensitive data, and service and user accounts from threats. So far in this series, we’ve looked at the importance of securing an organization’s network, its application components, the endpoints that support those components, and its application data.

The cloud has revolutionized the way we do business. It has made it possible for us to store and access data from anywhere in the world, and it has also made it possible for us to scale our businesses up or down as needed. However, the cloud also brings with it new challenges. One of the biggest challenges is just keeping track of all of the data that is stored in the cloud. This can make it difficult to identify and respond to security incidents.

With all the overwrought hype with ChatGPT and AI…much of it earned…you could be forgiven for thinking that only the bad actors are going to be using these advanced technologies and the rest of us are at their mercy. But this is not an asymmetric battle where the bad actors use AI and the rest of us are struggling using our pencils and abacuses to catch up. It is the good side that invented and is accelerating AI. It is the good scientists that made ChatGPT and all of its competitors.

Anticipation leads people to suspend their better judgment as a new campaign of credential theft exploits a person’s excitement about the newest AI systems not yet available to the general public. On Tuesday morning, April 11th, Veriti explained that several unknown actors are making false Facebook ads which advertise a free download of AIs like ChatGPT and Google Bard.

With the rise of remote work and shadow IT, more devices and apps (both sanctioned and unsanctioned) are connecting to your organization’s network. Today, there are approximately five million mobile apps currently in circulation: approximately three million for Android and two million for iOS. That’s great for productivity, but less than ideal when it comes to security.

The impact of artificial intelligence (AI) on cybersecurity is quickly becoming a major topic as organizations across the world begin the race to adopt AI technology into their products, business models, or security programs. AI is quickly emerging as a field that has the potential to revolutionize the field of cybersecurity. However, the use of AI in cybersecurity brings on new challenges and risks just as much as it provides new and innovative solutions.

Getting the benefits of AI threat detection tools is becoming less of an option for security operation centres (SOCs). Last year, the UK experienced more cyber attacks than any other country in Europe. According to IBM’s X-Force Threat Intelligence Index report, nearly half (43%) of all cyber attacks in Europe targeted UK-based organisations.