Cloud Computing

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Quantum computing presents a new frontier for technology, and a new set of security challenges, too. A sufficiently powerful quantum computer could break the public-key cryptography systems we rely on today, posing a significant risk to individuals and organizations. Although that threat might be years away, building appropriate defenses can equally take years to build.

Ryan sits down with Dimitri Stiliadis, CTO and co-founder of Endor Labs, to talk about how AppSec is evolving to address AI’s use cases. They discuss the implications of AI-generated code on security practices, the importance of human oversight in managing vulnerabilities, and how organizations should be balancing security and efficiency with AI.

As the saying goes, “a penny saved is a penny earned,” and this couldn’t be more true when it comes to cloud infrastructure. In today’s competitive business landscape, you need to maintain the performance to meet your business needs. Luckily, Google Cloud’s Compute Engine and block storage services offer numerous opportunities to reduce costs without

While AI coding assistants are helping developers become more productive, the true value of AI lies in its ability to automate the non-coding tasks that have historically been bottlenecks, allowing leaders to create more agile teams and focus on higher-level strategic problems.

Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models, there’s a clear opportunity to simplify the integration. But running inference on a Spark DataFrame using a model from Vertex AI typically requires