Upsurge of Workload Identities For the better part of the past two decades, identities within the corporate world have largely been viewed through the lens of the user. And why wouldn’t that be the case? Once we cleared the days of nuisance attacks whose goals were nothing more than disruption, cybercrime got more professional, calculated, and financially motivated – and the No. 1 adversary objective became human identities, which proved easy to fool and enable access and allow malicious hackers to not only infiltrate a target, but elevate privileges once inside so they can inflict maximum harm. While identity- based attacks are still very prominent – and have largely focused on the individual – a gradual shift toward targeting non- human identities is occurring, and this is only expected to become more pronounced. That’s because workload identities are running laps around human identities, outnumbering them by as many as 45:1. The push toward distributed microservices, SaaS services, and automation within the modern enterprise means more systems and services need to interact without human intervention. This necessity demands more credentials for workload- to- workload communication, expanding the potential attack surface. Modern IT architectures, including cloud, microservices, and containerized environments, are inherently complex. Each service or microservice requires credentials to communicate with other services. This transformation is not without its consequences, setting in motion a series of cascading effects: The velocity and scale at which new workloads are deployed are escalating → Consequently, the frequency of workload- targeted attacks is on the rise → This surge exposes a critical gap: the lack or makeshift nature of tools to effectively counteract these threats. Such developments raise pivotal questions about an organization's capacity to safeguard its operations, fulfill customer expectations, and comply with regulations, requirements, and standards. So, how are our workload identities growing at such mind- boggling rates? dataviz style, black and white network data visualization with orange and purple color grading in the shape of person icons waiting in line, masterpiece, hyper detailed, unreal engine, dark red tones, stars, point cloud, luminous light effects <lora:dataviz_style_xl_v1:1>