AI models rely on huge input data sets. It’s vital that access and transit of these data sets are secure including confidentiality, integrity, and authenticity of their critical and sensitive information. Mutually authenticated Transport Layer Security (mTLS) is one of the key technologies in this battle.
In an era dominated by cloud-native environments that connect back to traditional data centers, customers, and suppliers, the concept of workload identities has taken center stage. Critically when workload identities and their subsequent access tokens are stolen, catastrophic breaches can occur.