Artificial Intelligence is revolutionizing everything and cybersecurity is no exception. A growing number of industry experts and professionals are beginning to reflect on the benefits and risks of this innovative technology within the cybersecurity framework. AI can be used to enhance protection for businesses against threats but, on the flip side, it can also be applied to refine cybercriminal attacks.

In the fast-paced environment of cloud-native apps, security and seamless connections are a priority. Many DevOps and SecOps professionals use Kubernetes native features to handle their container security, keeping a tight grip on access and secrets to improve security posture. The integration between AWS AssumeRole and JFrog Access in Amazon Elastic Kubernetes Services (EKS), enhances enterprise security by automating secrets management.

Azure App Service is a platform-as-a-service (PaaS) commonly used to deploy applications and APIs, as well as functions, mobile apps, and more. It provides flexibility and reliability when deploying new applications and infrastructure, but it also introduces new security risks to your system. In particular, reduced visibility into the infrastructure and deployment of your application leads to a greater chance of application vulnerabilities being exploited by an attacker.

As the holiday season comes into full swing, it’s estimated that cyberattacks go up by as much as 30% during this period. To help increase cyber resilience—and stay vigilant well into the new year—SecurityScorecard is sharing some of our key AI predictions for 2024 based on the trends we’ve observed this past year.

Nightfall AI is excited to announce a new generation of detectors powered by generative AI (GenAI). Read on to learn more about recent advancements in our PII, PHI, secrets, and images detectors—as well as how they stack up against competitors like AWS Comprehend, Google DLP, and Microsoft Purview.