Workflow automation offers huge potential benefits for security teams, including improved incident readiness, faster time to value, enhanced team retention, and reduced errors. Whether your team is planning to embrace security automation for the first time or enhance an existing program, a clear roadmap is essential. In this post, I'll share a step-by-step guide for security teams looking make the most of workflow automation and the technology that's allowing teams to work even faster, AI.

In this blog post, Martin Moroney, Customer Success Engineering Manager at Tines shares lessons on migrating from a legacy SOAR platform, based on his experience in overseeing dozens of successful migrations. Enterprise system migrations are complex projects, with intimidating challenges that require meticulous planning and execution. This complexity is amplified in the context of systems that leverage many integrations to support complex workflows.

The potential benefits of workflow automation for security teams are huge - from improved incident readiness to faster time to value, improved retention, and reduced errors, there lots of compelling reasons to adopt this technology. But there are also some popular misconceptions holding teams back from fully embracing workflow automation. In this blog post, I'll debunk some of the most common myths about workflow automation and explain why it's worth investing in for any security team.

When we launched cases in early 2023, we saw how teams combined automation with their established processes to respond to known threats. And we realized we were missing a place for security teams to address those new or unknown threats. Enter cases, our solution to case management. Over the past year, our cases feature has become a place where teams can collaborate, track, and report on new and existing workflows.

If you’ve been paying attention to the latest AI product releases or evaluating AI tools for your teams, you’ll probably have noticed how difficult it is to distinguish between hype and reality. Vendors are under an enormous amount of pressure to deliver AI features, and, as a result, many of these new tools feel rushed and fragile, and simply aren’t capable of solving important, real-world problems.

For years, we as security practitioners were promised that AI and machine learning would change our lives for the better, but time and time again, the companies that touted this technology disappointed us. In the first decade or so of AI-branded security tools, we saw plenty of products that demoed well, but were completely undeployable.

Innovation rarely starts with acknowledging the restrictions. It’s only after you’ve fleshed out the practical concepts that you begin to understand how they can align with the predefined boundaries, ensuring that your final product is both useful and compliant. This dynamic process encourages a more organic pathway to discovery, leading to solutions that are not only innovative but also viable within the given constraints.

There’s a new navigation experience in Tines that’s been created with usability in mind. We’ve reorganized our main menus and brought core areas to the forefront for easier access.

When it comes to vulnerability management, time is critical - every minute a vulnerability goes unaddressed, the risk escalates. To ensure all risks are addressed, security teams need vulnerability management processes that are reliable and efficient, and, crucially, don’t drain their resources. And given that 22% of cybersecurity professionals have admitted to ignoring an alert completely, we can’t afford to rely on the human element alone.

There’s a ton of media hype about the swift integration of AI across different business functions. It has also been reported that 98% of technology executives have paused their AI programs to establish guidelines and policies around its implementation. Depending on when and where you read about it, opinions on the speed of AI adoption vary. Nevertheless, AI is more than just hype.