Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Millions of organizations are actively deploying and leveraging generative AI (GenAI) applications in a bid to streamline productivity, reduce costs and improve efficiencies. A high percentage of enterprises are in the midst of trialing GenAI pilot programs, and by 2026, it is anticipated that more than 80% of enterprises will have deployed generative AI-enabled applications, according to Gartner.

In the late 1990s, the rapid expansion of computer networks highlighted the need for affordable network visibility tools. The Berkeley Packet Filter (BPF) emerged as a significant advancement, enabling packet capture and filtering within the BSD operating system. BPF is the precursor of today’s widely used eBPF, and was originally released together with an accompanying library, libpcap.

One of the big advantages of running your workloads on a managed Kubernetes service like Google Kubernetes Engine (GKE) is that Google ensures your clusters are being deployed and managed following industry best practices. While GKE clusters are incredibly secure and reliable, there is always room for improvement. In this blog, we’re going to describe how you can enhance GKE’s already great security by adding runtime threat detection with Falco.

As digital operations expand, the financial industry is facing heightened regulatory and security demands. With the European Union’s Digital Operational Resilience Act (DORA) set to take effect in January 2025, financial organizations must now comply with additional rigorous standards for operational resilience and cybersecurity.

It’s almost time for KubeCon North America, and we’re excited to share the latest updates in Calico. These updates improve network and runtime security, make it easier to use, and extend Calico’s strong network security and observability for Kubernetes to VMs and hosts that are not part of Kubernetes clusters.

The Sysdig Threat Research Team (TRT) recently discovered a global operation, EMERALDWHALE, targeting exposed Git configurations resulting in more than 15,000 cloud service credentials stolen. This campaign used multiple private tools that abused multiple misconfigured web services, allowing attackers to steal credentials, clone private repositories, and extract cloud credentials from their source code. Credentials for over 10,000 private repositories were collected during the operation.