Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Using the AI Agent action, you can now connect to and utilize tools from MCP servers. This connection allows you to extend the reach of your workflows by bridging the gap between Tines and your AI implementations. Whether using a remote server or one created in Tines, the opportunity to do more is at your fingertips. Read the docs for more information.

Infrastructure has always been the backbone of IT Operations, but its scope has expanded dramatically. Gone are the days when infrastructure meant only racks of on-premise servers and storage arrays. For many businesses, today's reality is a sprawling, interconnected landscape encompassing multi-cloud environments, modern software-as-a-service (SaaS) platforms, traditional data centers, and emerging edge workloads.

It’s a bold claim. And sometimes customers ask me, “What exactly do you mean by important?” That’s a fair question because importance isn’t about how complicated a workflow is, or how many tools it touches. It comes down to impact.

For most IT operations teams, capacity management is a balancing act. Too much capacity and costs spiral; too little and users feel the impact before you do. On paper, scaling should be simple. In reality, it’s anything but. Most teams still scale manually – waiting for alerts, logging into consoles, adjusting resources, and hoping they’re not overdoing it. It’s a pattern that feels safe because it’s familiar, but it’s quietly expensive.

If you've ever been involved in a major database migration, you know just how complex and honestly, nerve-wracking they can be. At Tines, we recently faced the challenge of migrating a customer's dedicated tenant by moving all the customer’s critical workloads running on Tines between two different AWS Regions. All while maintaining 100% system availability.

Recent research from Forrester Consulting commissioned by Tines, Unlocking AI’s full value: How IT orchestrates secure, scalable innovation, underscores the essential role IT leaders must play in AI orchestration, as well as the challenges that stall adoption – and the opportunities that await those who overcome them. But how do these findings translate to real life, and what are leaders and practitioners doing to navigate this landscape?

Every month, we highlight the Tines features released during that period, but once in a while we like to dive deeper into a few special topics. Check out this video for a visual recap of those select features.

The EU Artificial Intelligence Act (AI Act) introduces the world’s first comprehensive regulatory framework for artificial intelligence. It defines clear rules for how AI systems are built, deployed, and monitored, focusing on risk management, data governance, transparency, and accountability. Any organization offering AI-powered products or services to EU users (or processing EU data) must comply.

AI-powered SOCs are dominating industry conversations, yet security leaders remain split on whether a truly autonomous SOC can ever exist. Despite certain vendors aggressively marketing fully autonomous SOC solutions, Gartner's analysis "Predict 2025: There Will Never Be an Autonomous SOC" suggests solutions in the market are unlikely to deliver against claims of full autonomy. As someone who has run SOCs, I agree. Full autonomy isn’t the answer.

Workflows aren’t new, or glamorous. But every major leap in technology has been about making work flow better. The assembly line automated production. The personal computer and the internet reshaped knowledge work. The cloud, mobile, and collaboration tools broke down barriers of place and time. We explored this evolution in a recent piece, “A History of Workflows.” Today, we’re examining the present. With automation and AI, we’re at the next leap.