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  • for Topic: Adm Devops
Enterprise AI governance is advancing faster than the operational controls needed to support it. Organizations are defining principles, policies, risk tiers, review boards, lifecycle gates and accountability models for AI. These efforts establish what should be allowed, required or prohibited. They do not always determine how those requirements will be enforced once AI is embedded in... Read More

Topics: Cybersecurity, Observability, Intelligent Automation, IT & Technologies, ADM & DevOps, Cloud Infrastructure, IT Management & Operations, AI Governance, Control Layer, Operational Control


ServiceNow used the Knowledge 26 conference to make a clear market claim: Enterprise AI will not scale through disconnected assistants, isolated copilots or unmanaged agent experiments. It will scale through governed autonomous work tied to workflow execution, operational data, identity controls and measurable business outcomes. That is the right conversation for enterprise IT leaders. The risk... Read More

Topics: ITSM, Cybersecurity, Intelligent Automation, AIOps, IT & Technologies, ADM & DevOps, Platforms, Non-Human Identity, IT Management & Operations, ServiceNow, ESM, Cybersecurity Automation, AI Governance, Autonomous Workforce, ITAM, Identity Governance, Workflow Automation


As we stand precariously at the intersection of technology and business strategy, ServiceNow’s Knowledge ’25 conference unveiled “the art of the possible” for what service automation can mean in our efficiency-seeking world. ServiceNow has long been a champion of transforming the mundane into the extraordinary, and in the era of AI, it aims to harness the potential of intelligent automation. The... Read More

Topics: Operations, Generative AI, Intelligent Automation, IT & Technologies, AgenticAI, IT Management, ADM & DevOps, Platforms, Workflow, Control Tower


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