Artificial Intelligence (AI) has the potential to revolutionize how businesses operate. But with this exciting advancement come new challenges that cannot be ignored. For proactive security and IT leaders, prioritizing security and privacy in AI can’t simply be a box-checking exercise; it's the key to unlocking the full potential of this wave of innovation.

The explosion of AI has ignited both excitement and apprehension across various industries. While AI is undeniably having a positive impact on engineering and customer service teams, cybersecurity and IT practitioners remain cautious. Concerns about data privacy, the inflexibility of disparate tools, and the sensitive nature of many mission-critical workflows—which, more often than not, require some level of human oversight—fuel a deep mistrust of LLMs by these teams.

Have you thought about how you can keep your Tines stories short and efficient? Use rules in your Webhook Action to create events based on specific requests. Events are only created when a rule is matched. When you want to focus on a specific result, customize response action options or filter out requests with regex that do not match your criteria.

In this blog post, Kelsey Sevening, Sr. Manager, Project Management at Tines shares what customers can expect when engaging with our professional services team to help them reach their goals faster. When it comes to investing in professional services, the quality of the experience can vary widely. While some customers might have exceptional experiences and others less so, most find themselves somewhere in the middle.

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.