Human risk management is becoming a practical measure of enterprise security. The old playbook treated employees as the weak link; the new one has to account for people, AI agents and automated decisions moving through the same workflows. That puts cybersecurity company KnowBe4 in a stronger market conversation: not just training users, but helping enterprises ...

Data resilience is quickly becoming the line between systems that recover and businesses that stall as artificial intelligence reshapes how data is created, moved and exposed. What’s changing isn’t just scale — it’s the stakes. Enterprises are no longer treating data protection as a background function; they’re redesigning around resilience as an always-on discipline that ...

Before artificial intelligence can scale, governed enterprise AI has to prove it can be trusted. As companies move from pilots to production, the real test is whether platforms can bring automation, trusted data and operational control into messy business environments without creating more risk than value. That shift gives IBM Corp. a practical opening as ...

Enterprise artificial intelligence is growing more complicated, and platform engineering is becoming the control layer that keeps it moving. As AI moves into production, the challenge is no longer just choosing models — it is getting data, applications, virtual machines, containers and inference workloads to operate across messy hybrid environments. That is where Red Hat ...

Open hybrid cloud is becoming the control plane that determines how enterprise artificial intelligence actually runs in production. The conversation has moved quickly from experimentation to execution. At Red Hat Inc., open hybrid cloud is positioned as the way to connect legacy systems, cloud-native apps and agentic workloads without disruption. The focus now is on ...

Autonomous agents are rapidly redefining how enterprise systems operate, exposing new security gaps as machine-driven activity begins to outpace the infrastructure designed for human users. Systems built around human identity and predictable workflows are struggling to keep up as autonomous agents operate continuously and move across environments with little friction. That shift is forcing enterprises ...

Agentic enterprise is moving artificial intelligence from isolated tools into systems that actively run business operations. The transition reflects a broader shift in enterprise strategy, where organizations are embedding intelligence directly into workflows rather than layering it on top. This point to a growing divide between experimentation and execution, as companies rethink how AI integrates ...

AI-driven workflows are quietly redefining how work actually gets done. As organizations move beyond isolated automation, the emphasis is shifting toward embedding intelligence directly into the flow of work rather than layering it on top. Atlassian Corp.’s evolving platform reflects this broader transition, connecting agents, applications and shared knowledge into a more unified operating layer. ...

Real value is emerging as process-centric AI becomes embedded in how work actually gets done. Enterprises are moving beyond isolated automation and embedding AI directly into workflows where decisions happen in real time. During this year’s Appian World, Appian Corp. is highlighting processes as the layer connecting data, automation and execution, reflecting a shift toward measuring ...

Artificial intelligence infrastructure is now the deciding force behind enterprise competitiveness. What was once a backend concern has moved directly into the center of business strategy, shaping how companies deploy, scale and ultimately extract value from AI. The shift is exposing constraints in compute, data readiness and operational alignment while forcing leaders to rethink long-standing ...