To respond to the increasing number of federal cybersecurity recommendations and regulations, cybersecurity leaders and their teams need to be confident in the transparency and resiliency of their security processes. The key is a strong and well documented risk management program. This is imperative for the compliance or incident audits that come with regulations.

In Kubernetes, managing and analyzing network traffic poses unique challenges due to the ephemeral nature of containers and the layered abstraction of Kubernetes structures like pods, deployments, and services. Traditional tools like Wireshark, although powerful, struggle to adapt to these complexities, often capturing excessive, irrelevant data – what we call “noise.”

Media attention on various forms of generative artificial intelligence (GenAI) underscores a key dynamic that CISOs, CIOs, and security leaders face – namely, to keep current with the fast pace of technological change and the risk factors that this change brings to the enterprise.

When it comes to cloud security and compliance, it’s easy to feel like you’re drowning in a sea of regulations and requirements. But don’t worry; we’re all in the same boat! That’s why we’re thrilled to share our latest point-of-view (POV) paper, “Practical Cloud Security in the Era of Cybersecurity Regulation,” which is crafted with our deep industry expertise and experience.

As AI adoptions become increasingly integral to all aspects of society worldwide, there is a heightened global race to establish artificial intelligence governance frameworks that ensure their safe, private, and ethical use. Nations and regions are actively developing policies and guidelines to manage AI’s expansive influence and mitigate associated risks. This global effort reflects a recognition of the profound impact that AI has on everything from consumer rights to national security.

Today at RSA Conference 2024, Mend.io and Sysdig unveiled a joint solution targeted at helping developers, DevOps, and security teams accelerate secure software delivery from development to deployment. The integration incorporates the exchange of runtime insights and application ownership context between Sysdig Secure and Mend Container to provide users with superior, end-to-end, and risk-based vulnerability prioritization and remediation across development and production environments.

The Sysdig Threat Research Team (TRT) recently observed a new attack that leveraged stolen cloud credentials in order to target ten cloud-hosted large language model (LLM) services, known as LLMjacking. The credentials were obtained from a popular target, a system running a vulnerable version of Laravel (CVE-2021-3129). Attacks against LLM-based Artificial Intelligence (AI) systems have been discussed often, but mostly around prompt abuse and altering training data.

In the ever-evolving landscape of cloud security, staying ahead of threats is paramount. Success requires well-orchestrated cybersecurity solutions that work together from prevention to defense. Today we launched our latest initiative, the Runtime Insights Partner Ecosystem, which brings together leading solutions that strengthen cloud security through integration and collaboration.

When it comes to securing applications in the cloud, adaptation is not just a strategy but a necessity. We’re currently experiencing a monumental shift driven by the mass adoption of AI, fundamentally changing the way companies operate. From optimizing efficiency through automation to transforming the customer experience with speed and personalization, AI has empowered developers with exciting new capabilities.

On March 13, 2024, the European Parliament marked a significant milestone by adopting the Artificial Intelligence Act (AI Act), setting a precedent with the world’s first extensive horizontal legal regulation dedicated to AI.