Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Discover what’s new in Tines through this quick run-through of this months’ highlights. As always, check out our What’s New page for real-time updates.

Networking teams have invested heavily in automation to help them manage increasing workloads and reduce manual tasks. Yet many still face the same issues, like outages, stalled operations, and managing growing incident volume. This problem isn’t a lack of automation: it’s what happens after automation runs. Automation is useful for individual tasks, but it can’t handle the complexity of real-world networking processes, which demand coordination across teams, environments, and tools.

It's 9:47 AM on a Tuesday. A Slack message from legal lands in the security channel: "Did anyone approve the marketing team's new AI vendor? They're feeding customer data into it." Nobody approved it. The vendor's terms say they can use input data for model training, and the contract was signed three weeks ago. That moment, some version of which plays out at most organizations now, is what makes AI governance an operational priority rather than a compliance exercise.

Runbooks are supposed to be the safety net under operations. Unfortunately, most aren't because they live in wikis that decay as tools change, get linked from alerts but never consulted, and fail the responder the moment pressure arrives. The gap is between what the runbook says and what the responder can actually execute. Teams reach for AI to close the gap.

The Tines Voice of Security 2026 report found that security professionals spend 44% of their time on manual, repetitive work. A workflow engine is the software built to take that operational drag off people, deciding what happens next based on events, rules, and state. The category is shifting. The workflow engine used to live inside one system, running a narrow set of backend steps.

When a security alert fires, your analyst opens your security information and event management (SIEM) platform, copies an IP address, pastes it into a threat intelligence platform, checks the asset inventory, cross-references the identity provider, and messages the on-call lead on Slack. Meaning your analyst needs to wade through five tools, taking at least ten minutes before any actual response begins.

Most teams adopting AI in their workflows understand that LLMs do not behave like traditional software. The same input does not always produce the same output, and even when it does, the model can be wrong, manipulated, or misled. Hallucinations happen even without adversarial input. Air Canada learned this in 2024 when a tribunal ordered the airline to honor a bereavement-fare refund policy its support chatbot had invented out of thin air.

It was a bold move, but our finance team was fully on board. They both approved and championed the approach. They wanted to see exactly how much value we could unlock for our customers. They didn't look at the resulting bill and ask us to slow down.

Today, we’re proud to share that Tines has achieved ISO 27001, ISO 27701, and ISO 42001 certification. This marks an important milestone in how we continue to effectively manage information security, privacy, and AI governance across our business and platform. For you, this is about more than achieving the ISO trifecta.

IT Service Management platforms like ServiceNow and Jira Service Management have fundamentally shaped how modern IT organizations operate. They bring structure to incident response, discipline to change management, and consistency to request fulfillment. For many enterprises, ITSM is the operational backbone that keeps digital services reliable, governed, and accountable.