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.

At Tines, our mission is to power the world's most important workflows, and AI has recently become a huge part of that story. We currently have two AI-powered capabilities that enable teams to work faster, reduce barriers to entry, and spend more time on the fulfilling work that attracted them to their professions in the first place. But this is only possible because they trust that these features are private and secure by design.

In a guest blog post, Aaron Jewitt, Principal Detection Engineer at Elastic, walks us through a Tines workflow he built to improve the efficiency of his team's automated alert triage processes. He recently shared how his InfoSec team uses Tines to automate alert triage over on Elastic's blog, which makes a great companion piece to this post.

We’re all huge fans of the Risky Biz podcast here at Tines, so we were thrilled to be invited to appear on the show recently to talk about AI’s role in security automation. I had a great conversation with host Patrick Gray about the security and privacy challenges that go along with deploying an LLM in your environment, and how our approach to AI in Tines is fundamentally different. I loved every minute of this chat, and I hope you’ll find it interesting, too.

As more and more organizations use automation and orchestration to streamline their security operations, defining clear success criteria becomes critical to ensure the effectiveness and scalability of their program. Recently, an enterprise prospect approached us seeking help on establishing success criteria for their upcoming journey with Tines workflow automation.