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Panther AI + Python = Next-Level Detection Engineering

  • By Brooks B.
  • on 04/30/2025

What do you like best about the product?
Panther's new AI is a massive time-saver, it instantly pulls the right fields from complex JSON logs. The AI saves me time parsing JSON and more time for responding. The Python-based alerting is a major win too. Writing detection logic feels like proper software development: it's clean, flexible, and testable. The alert testing feature is especially powerful. No more guessing if your logic will work in production. Custom lookup tables to map things like GitHub usernames to employees, or AWS accounts to Terraform workspace, which adds powerful context to our alerts. Implementation and integration was fast and straightforward, easy to add custom features. Their customer support is exceptional — they added a feature the very next day after our request. We use Panther every single day across the team to save hours vs. our old SIEM.
What do you dislike about the product?
The core platform is strong, but a few things could be smoother. Some UI elements still feel a bit early-stage./ More out-of-the-box templates or integration options would really level up the experience.
What problems is the product solving and how is that benefiting you?
Panther helps us move fast without breaking things. We’re reducing false positives, accelerating investigations, and building high-quality detections with real engineering discipline. It’s replaced our legacy SIEM with something that feels purpose-built for modern cloud security teams.


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