Threat Hunting

Stop reacting. Start hunting.

Most teams only see what their alerts show them. Panther lets your team go looking for everything else.

Trusted by top security teams

The complete toolkit for every threat hunter.

Scheduled AI Prompts

Natural Language Threat Hunting

AI Detection Builder

MITRE ATT&CK Coverage Mapping

Web Page Context

Custom Enrichment Sources

Threat Intelligence

Continuous Discovery

Threats surface before they become alerts.

When your team stops fighting through an endless queue of false positives and starts hunting proactively, coverage expands into parts of your environment that were previously unmonitored.

Autonomous Hunting

Hunting that never clocks out.

Stops missing threats that live outside your detection rules with hunting that runs continuously and autonomously, covering ground that no one had time or bandwidth to write a detection for.

Accelerated Detection

Pivot findings into new detections.

When a hunt surfaces something new, Panther AI turns that finding into a production-ready detection so your coverage compounds with every investigation your team runs.

Team Velocity

Every analyst equipped with expertise.

When any analyst can investigate a hypothesis in plain language, your hunting capacity multiplies — more hypotheses get investigated, more threats get surfaced, and more coverage gaps get closed.

Cockroach Labs went from reactive to proactive with Panther. That's threat hunting in production.

Proof from teams who’ve been there.

5x More coverage
10 min Detection creation instead of 4–5 hours
80% Alerts resolved automatically

Frequently asked questions

How does threat hunting coverage relate to MITRE ATT&CK, and why does that matter?

MITRE ATT&CK maps known adversary tactics and techniques. When you run hunts against specific techniques in the framework and convert findings into detections, your coverage map grows systematically rather than organically.

What data does Panther use to enrich threat hunting investigations?

Panther queries your full normalized data lake during investigations, enriched with custom enrichment sources you've configured, native threat intelligence feeds, and live web page context that the AI can pull during an investigation.

How does Panther turn a threat hunting finding into a permanent detection?

When a hunt surfaces something new — a pattern, a technique, an anomaly worth monitoring permanently — Panther AI can turn that finding into a production-ready Python detection with filters, severity logic, and test cases in minutes.

What are Scheduled AI Prompts, and how do they enable continuous hunting?

Scheduled AI Prompts are recurring analyses you configure once and Panther runs automatically.

How does Panther make threat hunting accessible to teams without dedicated threat hunters?

Natural language search lets any analyst investigate a hypothesis across the full data lake without writing SQL or learning a query syntax.

Why don't most security teams hunt threats regularly, even when they know they should?

Alert volume is the primary reason.

What is threat hunting, and how is it different from alert-based detection?

Alert-based detection is reactive: a rule fires when known behavior matches a known pattern. Threat hunting is proactive: analysts or AI go looking for suspicious activity that no existing rule would have caught.