Comar Technologies

AI has the potential to transform cybersecurity: automating detection, surfacing smarter insights, and easing the burden on security teams.

But achieving those outcomes takes more than plugging in a new tool.

Here are a few common obstacles that get in the way:

1. Unreliable data. AI depends on clean, complete input. Inaccurate or inconsistent logs can lead to blind spots or false alarms.
2. Lack of situational awareness. An AI engine might detect unusual behavior, but without knowing your business context, it can misread what’s truly risky.
3. Disconnected systems. When tools don’t integrate well, valuable insights remain fragmented, and response times suffer.
4. Skill shortages. AI-driven environments require a different set of skills. Without proper training and support, teams can’t use these tools effectively.

How is your organization preparing for AI in security?

Happy Labor Day!

Today, we’re celebrating the people who keep things running: On the ground, behind the scenes, and everywhere in between.

If you’re off today, enjoy your well-earned rest. And if you’re still working, we hope you find some time to reflect on all you’ve accomplished.

Thank you for everything you do.