Operations | Monitoring | ITSM | DevOps | Cloud

Steer, Block and Audit Agent Behavior from One Place | SAO Agent Control Demo Cisco Agent Control

Oct 3, 2026 By Splunk In Splunk
Most teams keep an agent from regressing by hardcoding checks into its logic, an if-statement here, a regex there. Every new rule then becomes a code change, a review, and a deploy, and the person who spots the problem in production is rarely the person who can ship the fix. Agent Control moves those rules out of the code and into one hub. Steer, block, and validate agent behavior in real time, with rules any team member can update without touching the codebase.
View Video

Block AI Agent Regressions Before They Ship | SAO Pre-Push Eval Gate Demo

Oct 3, 2026 By Splunk In Splunk
Every engineering team has unit tests. They tell you the code still works. They tell you nothing about what the model started saying. This demo wires a single eval gate script into a git pre-push hook, so Splunk Agent Observability scores every agent's output before the push is allowed through. Luna, an on-premise small language model, runs as a synchronous judge against fixed thresholds. Fail one, and the push is blocked.
View Video
Agentic AI or CLM Compliance? A Buying Test for Financial Services

Agentic AI or CLM Compliance? A Buying Test for Financial Services

Oct 3, 2026 By OpsMatters In OpsMatters
Consider a hypothetical bank negotiating a technology supplier agreement. An AI agent spots a change to the audit-rights clause, proposes replacement language and prepares the contract for approval. The review looks faster. Then someone asks which policy version the agent used, whether the replacement was approved, and what prevents the unsigned draft from becoming the operational record. Those questions should shape the buying decision.
Read Post
sentry

Seer, the Sentry MCP and CLI, or your own coding agent: where each one fits

Oct 2, 2026 By Paul Jaffre In Sentry
I’ve been getting some version of this question a lot lately, mostly in our Seer preview webinars. Different audiences, same handful of questions: Worth answering all three in one place. Honestly, I needed to write this down for myself too. Things are moving fast around all of us and answers seem to get more nuanced by the week. This is an attempt to codify the difference: what each option is and when it makes sense to reach for one over the other.
Read Post

AI Control Tower Live: Governance that moves at machine speed

Oct 2, 2026 By ServiceNow In ServiceNow
One question, ninety minutes: Do you know what AI agents you have running, what they're accessing, and what's their ROI? ServiceNow product leaders open with an overview of why legacy controls can't keep pace with AI agents. Then we'll showcase customer stories from Zespri and Booking.com, end-to-end demos of AI Control Tower, and a look inside ServiceNow's own AI estate.
View Video
megaport

Building Production-ready AI Infrastructure? Start With the Network

Oct 2, 2026 By Kevin Dresser In Megaport
AI workloads depend on fast, secure, and scalable access to data across on-premises systems, colocation, cloud platforms, and GPU environments. Here’s how private connectivity can help enterprises move from AI proof of concept to production-ready infrastructure. AI pilots tend to be forgiving. Production isn’t. In the early stages, a team can usually get by with a simple path into a GPU environment, enough bandwidth to test an idea, and a security model that suits a limited group of users.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.