Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At the RSAC Conference this year, it seemed that every cybersecurity company had suddenly become an agentic AI company. According to such vendors, AI agents were the solution to every security problem keeping CISOs up at night. The audience, however, was understandably skeptical. Concerns over vendor promises fell into two camps. The first camp: companies that took whatever AI capabilities they had and slapped the word ‘agentic’ on them (aka ‘agent-washing’). Or even worse.

Financial services and insurance companies live under some of the toughest compliance rules in the world. Regulations keep multiplying. Cyber threats keep evolving. And the penalties for getting it wrong range from multi-million-dollar fines to reputational damage that takes years to recover. The problem? Too many GRC programs are still manual, reactive, and siloed. Outdated tools and processes force teams to spend countless hours chasing evidence and preparing for point-in-time audits.

At Tines, we use our workflow orchestration and AI platform to power our mission-critical processes, and the Revenue Operations team is no exception. In this post, we’ll share how we use Tines to automate a key part of our go-to-market motion: lead management. The workflow we’re sharing powers every inbound lead we receive, whether it comes from a demo request, a webinar sign-up, or a bulk CSV upload from the marketing team.

Model Context Protocol (MCP) is gaining traction because it enables LLMs to interact with live systems and enhance context by retrieving and managing relevant real-time information. LLMs can’t query Salesforce, trigger an Okta password reset, or fetch context from your SIEM, for example. MCP bridges that gap by connecting AI models to real-world APIs, powering AI applications like retrieval-augmented generation and multi-step agent workflows. They’re fast to deploy.

Over the past few months, the team has been working on some pretty cool things for the Tines platform. Check out this video for the biggest highlights, or use the following timestamps to jump to a specific topic.

At Tines, our mission is to power the world’s most important workflows. That extends to how you implement and control AI across your business. We're excited to introduce the ability to build Model Context Protocol (MCP) servers directly on your Tines storyboard.

Today, Tines has been recognized by Wiz as a winner in the inaugural WIN awards, earning the WINspiration Award for its outstanding partnership. This recognition highlights Tines’ track record of delivering real outcomes for joint customers through the WIN program. Launched in 2023, WIN is Wiz’s open, bidirectional integration ecosystem that now includes over 200 partners — setting a new standard for integrated cloud security.

The 2025 SANS SOC Survey reveals that while technology keeps evolving, the core problems facing SOC teams remain stubbornly in place. Teams are understaffed. Tool sprawl is growing. And performance metrics often miss the mark. Many SOCs lack the workflows, strategy, and staff to connect tools, streamline processes, and reduce manual work. And now they face a new challenge: making AI actually deliver value. Let’s dig into the key findings.

Last week, we hosted the Product Spotlight: Build agents in Tines, and it was a hit. We had so many questions that we couldn’t answer them all live, so we’re continuing the conversation here. Before we jump into the Q+A, here’s a quick recap of the webinar in case you missed it: In this session, Head of Product Stephen O'Brien introduced the AI Agent action and shared how it builds on our ongoing evolution of workflows.

In this guest post, Eric Newcomer, Principal Analyst at Intellyx, explains why data is essential for building and running effective AI workflows. In the current phase of AI transformation, everyone is discovering many applications for gen AI, especially chats with LLM trained data, public as well as private. One interesting application of AI is building modern workflows to automate operational processes.