Introducing a Safer, Smarter Way to Launch Detections

Introducing a Safer, Smarter Way to Launch Detections

We’re rolling out a new detection lifecycle designed to deliver better-tested Panther-managed rules with fewer false positives and faster time-to-value. The key change: every new detection now goes through an “experimental” period of pre-tuning using real-world telemetry before it ever appears for customers to enable. This means you get higher-confidence, production-ready detections the moment you turn them on.

What’s Changing

Instead of shipping “beta” rules that surface info-severity alerts while we iterate, detections now move through three clear statuses:

• Experimental: Runs silently to learn from diverse environments

• Stable: Visible and ready for customers to enable

• Deprecated: Phasing out with a clear timeline

During the experimental period, detections are completely hidden from customer consoles and APIs. They collect aggregate performance metrics, not customer log data, to validate accuracy and expected alert volume. When a rule meets objective readiness criteria, it’s promoted to stable and becomes available to enable.

How the Pre‑Tuning Works

• Real-world learning window

  New detections run silently for a minimum period to observe event, match, and error rates across multiple environments.

• Objective promotion criteria

  A rule graduates to stable only after it demonstrates low error rates, a healthy match range, and coverage across multiple customers.

• Ongoing protection

  Once stable, detections are continuously monitored to catch unusual alert spikes quickly, so we can tune fast and keep noise low.

Why This Is Better for You

• Fewer false positives on day one

  Pre-tuning with real traffic helps ensure the rule fires when it should and stays quiet when it shouldn’t.

• Faster time to value

  When you enable a stable detection, it’s already been vetted. You spend less time tweaking and more time acting.

• Safer rollouts

  Hidden experimental periods let us iterate without interrupting your workflows or filling up your queues.

• Consistency across environments

  Readiness checks include cross-customer coverage and improved reliability regardless of your specific data patterns.

• Clear lifecycle and confidence

  A transparent path from experimental to stable to deprecated makes it easy to trust what you turn on and understand when something is being sunset.

What You’ll See in Product

• Stable detections available to enable

  These are the rules that passed pre-tuning and met readiness criteria.

• Better release notes

  When detections graduate or change status, they’ll be reflected in release notes so you can see what’s new and why it matters.

• Quieter alerting, higher signal

  With pre-tuning and ongoing monitoring, you should see stronger precision with less noise over time.

FAQs

• Will I see experimental detections?

  No. Experimental is fully hidden. You only see stable detections that have passed readiness checks. Experimental rules are visible in the panther-analysis repository for full transparency.

• What happens if a stable detection gets noisy?

  We monitor for unusual spikes and tune quickly so you don’t have to.

• Do I need to do anything to benefit?

  No action needed. As detections graduate, they simply appear as stable and ready to enable.

Getting Started

• Browse stable detections

  Look for new stable rules in your console as they roll out.

• Enable with confidence

  Turn on the rules that fit your coverage goals, knowing they’ve been pre-tuned against real-world activity.

• Share feedback

  If you see opportunities to improve a rule’s precision or coverage, tell us! We iterate continuously to raise the signal.

By investing more upfront in pre-tuning with real-world signals, we’re making detection enablement simpler, safer, and more effective so your team can focus on catching what matters, faster.

Experience fewer false positives and faster time-to-value firsthand. Request a demo to see how pre-tuned, stable detections work in your environment.