ServiceNow pushes AI control plane
- ServiceNow used its Knowledge 2026 event in Las Vegas to expand AI Control Tower, launch Autonomous Security & Risk, and introduce Otto. - The key move is governance at runtime: Armis maps assets, Veza maps permissions, and Control Tower tracks agents across systems. - That matters because enterprise AI is shifting from chatbots to autonomous agents that need policy, identity, and audit controls.
Enterprise AI is starting to look less like a chatbot problem and more like an air-traffic-control problem. Once companies let software agents take actions — not just answer questions — they need to know what each agent can see, what it can do, and who is accountable when it does the wrong thing. That is the gap ServiceNow is trying to fill. At Knowledge 2026 in Las Vegas on May 5, the company bundled a set of launches into one pitch: let ServiceNow sit above the mess as the control plane for enterprise AI. (newsroom.servicenow.com) ### What actually launched? Three pieces matter. ServiceNow expanded AI Control Tower so companies can discover, govern, secure, and measure AI systems, agents, and workflows across differ(newsroom.servicenow.com)o work across workflows. (newsroom.servicenow.com) ### Why call it a control plane? Because ServiceNow is not just selling another model or another agent. It is selling the layer that watches the agents. Basically, the company is arguing t(newsroom.servicenow.com) means here — the management layer above the actual AI workers. (newsroom.servicenow.com) ### Why is security the hard part? Every agent runs with an identity and permissions. But most enterprise permissions were designed for humans clicking through apps, not software acting at(newsroom.servicenow.com) both human and non-human identities. Put together, ServiceNow can say not just “an agent acted,” but “this agent, with these permissions, touched this system, under this policy.” (businesswire.com) ### Where does Otto fit? Otto is the front door. Users ask for something in plain language, and Otto routes that request into the right workflow, specialist, or approval path. The interesting part is not the chat bo(businesswire.com)uditability. (computerworld.com) ### Why mention MCP and A2A? Because no big company wants one vendor’s agents trapped in one stack. ServiceNow has been leaning into open interoperability ideas like MCP and agent-to-agent patterns so outside tools can plug into its workflows. The pitch is simple: agents(computerworld.com)latform strategy, not just product packaging. (servicenow.com) ### Is this different from last year? Yes — the emphasis has moved from “here are some AI features” to “here is the operating system for governed autonomy.” ServiceNow has been adding AI steadily, but this week’s announcements pull together assistants, specialists, data context, security, ide(servicenow.com)rame. (diginomica.com) ### Who is this really aimed at? Large enterprises that already have too many systems, too many policies, and growing pressure to automate work without losing control. That includes security teams, IT operations, risk leaders, and line-of-business owners who want agents to do real work but need guardrails. ServiceNow is betting that governance will be the buying trigger — not raw model performance. (siliconangle.com) ### Bottom line ServiceNow is trying to own the layer that makes enterprise AI safe enough to trust. If that works, the company does not need to win the model race. It just needs to become the place where every serious agent checks in before it acts. (newsroom.servicenow.com)-AI-deployed-across-any-system-in-the-enterprise/default.aspx))
