Panther
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Summary
Panther is a commercial SIEMSIEMSecurity information and event management, collecting logs from many systems and correlating events to find suspicious activity. Analysts use it to investigate alerts and incidents. that ingests security data from numerous sources, including on-premises firewalls and cloud platforms, and supports writing correlation rules as code. It operates as a self-hosted service and is intended for security operations teams focused on detection engineering. Its documentation positions it alongside other SIEM platforms, and the product launched in 2018 with five releases tracked in our records.
How Panther helps
Which hosts and accounts triggered brute-force-style activity within a rolling time window?
groups correlated events and evaluates them together when they fall inside a configured minutes-long window, catching patterns that no single event would reveal
Is a departing or compromised user still active anywhere right now?
signing out all sessions from the admin console immediately invalidates every active session tied to that account
Are my on-prem firewall and endpoint logs actually reaching my detection pipeline?
ingests Palo Alto NGFW and other on-prem logs through a forwarder or webhook source, so their events land alongside cloud data for the same rules to evaluate
Which SaaS and developer tools has someone actually used, and when?
ingests audit logs from sources like Cursor, Claude Code, and Google Workspace, giving each event a defined schema so activity across those tools can be queried and correlated
Has anyone reviewed and closed out this alert yet?
AI auto-triage can evaluate an alert and defer its notification until triage completes, and the result can be pulled up or expanded on directly from a Slack thread
Languages
Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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Innovation & surface new capabilities, API and MCP surface
Five scores for Panther, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.
How this is scored
- Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
- Documentation quality — the release-notes rubric published on the analytics page, unchanged.
- Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
- Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
- Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
- Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
- Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
- Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.
Release-note detail over time
See how much detail Panther puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.
Checking release-note history…
Website history
panther.com, every changeDatabricks / Panther's home page and 21 more pages as they looked each month from March 2022 to October 2026: 34 renders, 4 changes of tagline or palette. Step through them, play them, or put any two months side by side.
Website history is included with Researcher and Business.
See plans → Already subscribed? Sign in →← → or h l a month · Shift a year · [ ] previous / next change · Space play · 1 2 3 page · T whole page · C compare · F full size
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Rebranding timeline
Dates bound when a change appeared between captures. Possible rebrands are AI suggestions; a redesign alone does not establish a rebrand.
Releases
5 entries
No entries match these filters.
- September 20265
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