Select a vendor below to see how it compares to Comma Compliance.
Per-connector pricing adds up fast, and iMessage isn’t captured off-device. Comma covers 30+ channels at a flat fee, archive included.
See full comparison →Built for email-first firms. WhatsApp, Signal, and iMessage coverage relies on third-party connectors. Comma captures all three at the point of delivery.
See full comparison →No iMessage connector exists. WhatsApp and Signal sync once per day via a breached third party. Comma captures all three in real time.
See full comparison →Breached in May 2025, with 410 GB of data exposed. Comma’s capture code is published on GitHub — no intermediary servers.
See full comparison →Capture-only — every firm using it needs a separate archive vendor. Comma captures and archives in one platform.
See full comparison →4-channel coverage routed to a third-party archive. Comma covers 30+ channels with a built-in WORM archive.
See full comparison →Trade surveillance first, messaging compliance second. Comma is built specifically for WhatsApp, Signal, and iMessage compliance.
See full comparison →Capture-only with ~3 channels and no built-in archive. Comma covers 30+ with a WORM archive at a flat fee.
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Due Diligence
01
Where exactly is the message first captured — at the point of delivery, or after a backup or sync cycle?
02
What conditions must be true for a message to be captured? What happens if any of those conditions aren't met?
03
If a user edits or deletes a message before capture occurs, what version gets archived?
04
Can you show documentation — architecture diagrams, code, or independent audit — of how your capture actually works?
05
Where are encryption keys stored, and who controls them?
06
Are all channels included in the base price, or are there per-connector fees?
07
Are there export or egress fees?
08
Does your case management workflow support regulatory examination prep?
09
Can cases be opened directly from flagged message threads?
10
Is any client data used to train your models? Under what conditions?
11
Can we adjust, refine, or contribute feedback to the detection models?