Operations | Monitoring | ITSM | DevOps | Cloud

Over the years, InvGate Asset Management has helped organizations build structured, reliable IT inventories, creating the visibility and control required for effective IT Asset Management. That maturity is critical, but visibility alone does not eliminate one of the biggest operational burdens IT teams still face: constant manual work. Atlas was designed to address this gap.

Edwin AI extends ServiceNow Now Assist with real-time incident intelligence, acting as a context broker between observability data and ServiceNow incidents. Responders get the context they need inside the IT operations workflow they already use. Edwin AI now: The Edwin AI Agent for ServiceNow brings real-time incident intelligence into Now Assist and Workspace, giving ITOps teams root cause, impact, and recommended next steps directly inside the ServiceNow incident record.

AI promise and AI capabilities often diverge, with developers often reporting much faster code production, but not enough change in how incidents are handled. When the rate of change is faster than ever, but the rate of recovery from incidents isn’t moving, developers wind up stuck in firefighting mode. And, when these systems fail, it’s costly. According to PagerDuty’s State of AI-First Operations, over a third of surveyed companies report losing $500K per hour of downtime.

There’s a new question teams are asking. How can we prevent AI agents from deleting production. When Cursor deleted PocketOS’s entire production database in nine seconds, the agent wasn’t malfunctioning. It had full technical capability, but it was inferring operational authority from static code rather than live environment state. That gap between capability and context is the root cause. This article breaks down exactly how that happens, and what runtime visibility does to stop it.

Over the past decade, cloud computing has evolved from an emerging technology into the foundation of modern digital infrastructure. However, the latest industry research shows that the industry has now crossed a critical threshold. The conversation is no longer about whether to adopt cloud, cloud-native technologies, or AI. Instead, it has shifted toward operational efficiency, economic predictability, and infrastructure at scale.