Operations | Monitoring | ITSM | DevOps | Cloud

ServiceNow is the system of record for change and approvals in most regulated enterprises. And yet, for many teams, it has become the place where delivery slows to a crawl. Not because ServiceNow is broken. But because the evidence model underneath it is. Developers ship fast through modern CI/CD pipelines, automated tests, and security scans, only to hit a wall when changes reach approval. Tickets bounce back. Evidence is questioned. Screenshots do not tell the full story. CABs hesitate. Releases wait.

In regulated environments, slow change is often blamed on process. Too many approvals. Too much governance. Too much red tape. But in reality, most delays are not caused by regulation itself. They are caused by missing, fragmented, or untrusted evidence. Screenshots pasted into tickets. Proof assembled weeks later. Approvals stalled because no one can confidently say whether a change actually meets policy. When evidence is an afterthought, compliance turns into chaos.

Imagine for a moment that agentic coding tools really do deliver on their promise. Code is written faster, tests are generated automatically, and refactors that once took days now take minutes. On paper, software delivery should accelerate dramatically. Now imagine you work in a regulated enterprise. The code is ready, but production is still days or weeks away.

The financial service industry has spent years modernising their software delivery pipelines. Build and test cycles are fast, infrastructure is automated, and engineering capability is no longer the bottleneck. The slowdown now occurs at the end of the process: the last mile, where a change must prove it is safe before it can enter production. This final step is governed by a trust layer with people in it.

We’re excited to announce an important enhancement to Kosli that will improve how environment compliance is managed across your organization. Starting with our next release, all compliance evaluation for Kosli environments will be consolidated through our powerful Environment Policies feature.

Are your deployments getting stuck waiting for approvals? Your code is ready. Your tests are green. But your ServiceNow change ticket is still holding up the release. In most organizations, this isn’t a people problem or a process problem. It’s an evidence problem. Every release has to prove that it met the required checks — tests, scans, reviews, and approvals. But when that proof isn’t instantly available, everything slows down.

An artifact repository like JFrog Artifactory is a cornerstone of modern DevOps. It stores binaries, versions, and release bundles — your complete “what.” But when audits or incidents happen, the question quickly shifts from what to how: “How did this artifact get here — and can we trust it?” If all you have is a warehouse of files, you’re left scrambling to reconstruct the story. You check pipeline logs. You pull test results. You cross-reference approvals.

In October, technologists from across the financial industry gathered in New York for OSFF 2025 where the general theme was clear: open collaboration has moved from promises to proof. Projects like Fluxnova and OpenGris showed how institutions can build shared, production-grade infrastructure. The Common Cloud Controls and AI Governance Framework demonstrated that regulatory assurance can be achieved collaboratively, not competitively.

We All Have That One Secret… That API key that has been sitting in production for ages. The personal access token that was supposed to be rotated 2 months ago. The service key that is about to expire… wait, when does it expire again? Most developers have experienced working with secrets. We create secrets, use them, and promise ourselves that we will rotate them. But somehow, the secret that was supposed to be rotated after 90 days is still standing strong after 6 months. Sounds familiar?

In every engineering organization, from fintech unicorns to 20,000-seat global bank, delivery happens in a loop. Code gets built. Releases get pushed. Systems run 24/7. Then it all happens again. This cycle isn’t an opinionated lifecycle dreamed up by a consultant or vendor, it’s just the reality of software delivery today.