AI clusters are collections of interconnected computing nodes that work together to perform complex tasks, such as data analysis, machine learning, and natural language processing. AI clusters are increasingly used in various domains, such as healthcare, education, and finance, to provide faster and more accurate solutions. However, AI clusters are facing unique challenges of cyberattacks in addition to the traditional attack vectors, which can compromise the integrity, confidentiality, and availability of the data and algorithms.
We'll discuss the main threats and vulnerabilities of AI clusters, and how the unique combination of NVIDIA’s BlueField DPU memory introspection, telemetry, and isolation capabilities, together with Check Point’s next-generation firewall, XDR, and cloud security technologies deliver a new solution addressing these challenges. The joint solution allows real-time visibility into cloud workloads and runtime security for AI clouds, ensuring attacks are stopped as they happen, workloads don't exhibit malicious behaviors, and lateral movement is blocked, preventing attack propagation, which limits the blast radius of a breach.