Operations | Monitoring | ITSM | DevOps | Cloud

Network operations teams have heard plenty about AI this year. Most of it answers the alert in front of it, then hands the rest of the incident back to an engineer. Someone still has to correlate the evidence, find the cause, prepare the fix, and prove it held. This week, we announced Selector Foundry, the agentic NetOps solution built into the Selector platform. Foundry adds a team of specialized AI agents on top of the full-stack observability and AIOps foundation our customers already run.

Modern enterprises no longer operate as isolated systems. Every customer order, supplier commitment, shipment, invoice, and payment relies on information moving seamlessly across a growing network of applications, partners, and business functions. In many SAP-driven organizations, SAP IDocs serve as one of the primary mechanisms for exchanging business information between various SAP and non-SAP systems. Most business users never see them, never interact with them, and often never hear about them.

At 9:40 on a Tuesday morning, an order sits unconfirmed in the fulfillment process. Two systems away, a queue depth ticks upward in the integration layer. Both events are recorded. Neither is connected to the other, so nobody escalates nothing is technically down. By 2 PM, order confirmations have stalled across a region. The CFO is asking why the daily revenue number looks soft. Customer service is fielding calls.

Federal teams need more than a system setting. They need defensible evidence that the cryptography protecting federal information is validated, correctly configured, and actually used. For platforms such as ScienceLogic, that product-level evidence should come from the vendor, not be reconstructed by the customer.

AI log analysis helps IT teams turn massive volumes of operational data into actionable insight. By applying statistical methods, machine learning (ML), semantic analysis, and generative AI, organizations can identify unusual behavior, connect related signals, and investigate probable root causes faster. But AI-generated answers should not be mistaken for proof.

September 22, 2026 is not an operating system shutdown date. It is a cryptographic compliance transition that changes what federal organizations can use for new systems and what they must defend in existing ones.

ScienceLogic has been named a 2026 TrustRadius Tech Cares Award winner, marking our third time receiving the recognition. The Tech Cares Awards recognize B2B technology companies demonstrating meaningful corporate social responsibility through their support of employees, communities, and the environment.

Learn why modern IT complexity can slow incident response and how observability, AIOps, operational context, and automation can help teams detect, investigate, and resolve issues faster.

Most teams we talk to are fighting the same battle. The knowledge needed to make a decision already exists somewhere. However, it’s locked in a tool your team isn’t looking at, or in the head of the one engineer who’s seen this same type of incident before. This month’s updates all chip away at that same problem. Here’s what’s new.