Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Workflow software is one label covering very different products. Task tools, integration platforms, and intelligent workflow platforms. Pick the wrong category and the team spends a year unwinding it. Security and governance are the criteria most teams underweight. Workflow software holds credentials to every system it connects, processes identity events, and touches customer data. A misconfigured platform becomes a lateral movement path across the entire stack.

Automation works well until a step needs judgment, like an alert that needs context or an exception that doesn't match any rule. Those judgment steps are where the chain breaks, and where teams lose the capacity automation was supposed to give back. Intelligent workflow automation closes that gap. It orchestrates business processes across deterministic automation, AI for triage and decisions, and human-in-the-loop checkpoints in one workflow, so the ambiguous, judgment-driven steps don't break the chain.

Migrating from your previous ticketing platform to Tines Cases is a straightforward project when you break it into manageable steps. This is part two of our Tines Cases guide and walks through those steps and provides practical advice on how to avoid common pitfalls, keep your migration on schedule, and end up with a well-structured Cases environment from day one.

Once your migration plan to Tines Cases is in place, the next priority is ensuring the transition sticks. This is part three of our series on migrating to Tines Cases and will cover the operational side of migration: communicating the changes to your team, running a smooth parallel period, planning for rollback if needed, and ensuring reporting and compliance don’t miss a beat. These are the steps that turn a successful technical migration into a successful adoption.

AI adoption inside security teams is now near-universal. Tines' Voice of Security 2026 report found that 99% of SOCs use AI in some capacity. What hasn't kept up is the policy that's supposed to govern it. ISACA's 2026 AI Pulse Poll found 56% of digital trust professionals don't know how quickly they could shut AI down after a security incident. The policy was supposed to handle this.

Every conversation I have with CIOs and IT leaders right now starts the same way. They're not short on activity. They've got pilots running, tools deployed, teams experimenting. What they don't have is much to show for it. The data backs it up: 92% of companies are ramping AI investment right now. Only 1% consider themselves mature.

The security industry spent a good chunk of early 2026 debating whether Anthropic’s Mythos and OpenAI’s Daybreak are truly dangerous or just good marketing. It's a reasonable debate. But while we're having it, attackers are asking a different question: how do we use tools like this to move faster than defenders can respond?

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.