AI vendors and platforms · computed from bank profiles and the NICE Actimize vendor page; nothing on this page is written by a model. All ranked answers: /banks/leaders
On the public record as of Oct 28, 2026, 6 of the 141 large banks profiled have a dated, sourced profile entry naming NICE Actimize (a use case, a timeline move, a platform note or a vendor-page customer record). Ranked by entries naming NICE Actimize, the top 5 are KeyBank (3 entries), Cathay Bank (3 entries), EverBank (3 entries), Associated (2 entries) and Fifth Third (1 entry). KeyBank's strongest evidence: NiCE Actimize X-Sight AI platform for fraud and AML (use case, in production, Jun 12, 2025).
141 banks profiled (120 US, 21 non-US) · 6 with matching evidence · ranked answer, not a comparison
Which of the large banks use NICE Actimize?
| # | Bank | Entries naming NICE Actimize | Strongest entry | Status | Date | On this site | Sources |
|---|---|---|---|---|---|---|---|
| 1 | KeyBank | 3 | NiCE Actimize X-Sight AI platform for fraud and AML (use case, in production, Jun 12, 2025) | In production | Jun 12, 2025 | KeyBank profile → | NiCE Actimize (Business Wire) ↗ |
| 2 | Cathay Bank | 3 | AML monitoring and sanctions screening tools (NICE Actimize, LexisNexis Bridger) (use case, in production, May 8, 2025) | In production | May 8, 2025 | Cathay Bank profile → | Cathay Bank ↗ |
| 3 | EverBank | 3 | Fraud prevention and risk tooling (Actimize, LexisNexis) (use case, announced, Jul 16, 2024) | Announced | Jul 16, 2024 | EverBank profile → | Bank Automation News ↗ |
| 4 | Associated | 2 | NICE Actimize chosen for AML and fraud (move, May 31, 2012) | Mentioned | May 31, 2012 | Associated profile → | American Banker ↗ |
| 5 | Fifth Third | 1 | NICE Actimize customer due diligence selected (move, Jan 19, 2016) | Mentioned | Jan 19, 2016 | Fifth Third profile → | NICE (PR Newswire) ↗ |
| 6 | Valley | 1 | Unified AML platform starting with Customer Due Diligence, followed by Suspicious Activity Monitoring and case management, selected March 2017 (no later… (vendor page, selected, Mar 27, 2017) | Selected | Mar 27, 2017 | NICE Actimize vendor page → | NICE Actimize ↗ |
Each row quotes one record from bank profiles and the NICE Actimize vendor page; the “On this site” link opens the bank's own page or sub-page with every source. Banks absent from the table have nothing matching on the record this site holds.
How is this ranked?
Data: the 141 bank profiles on this site (lib/banks), every entry dated and sourced, plus the bank customers listed on the NICE Actimize vendor page (/vendors/nice-actimize).
Rule: A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Actimize, or when the vendor page records it as a customer. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last.
Counts: 6 of 141 profiled banks qualify; 6 distinct sources cited in the table. Data checked 2026-10-28; ranking template updated 2026-10-30.
What are the caveats?
Naming NICE Actimize on the public record is evidence of a relationship, a pilot or a policy, not of contract size or exclusivity; many banks use several providers and do not name them all.
Banks absent from the table have nothing matching on the record this site holds, which is not evidence that they do nothing. Each row links the bank's own page, where every entry carries its sources.
Which bank ranks first?
KeyCorp (KeyBank) leads with 3 entries: NiCE Actimize X-Sight AI platform for fraud and AML (use case, in production, Jun 12, 2025). Cathay Bank is second with 3.
How many large banks name NICE Actimize in sourced AI records?
6 of the 141 profiled banks (120 US, 21 non-US groups). Among those listed, 6 are US banks and 0 non-US groups.
What counts, and what does not?
A bank is listed when at least one use case, timeline move, platform note, section row, number, quote or leader entry on its profile matches the pattern Actimize, or when the vendor page records it as a customer. Score = number of matching entries. Order: entries, then banks with a matching use case in production, then the newest entry. An entry that only restricts or blocks the vendor's tool is kept, marked "Restricted" and sorted last. Source: the 141 bank profiles on this site (lib/banks), every entry dated and sourced, plus the bank customers listed on the NICE Actimize vendor page (/vendors/nice-actimize).
Is this a measure of capability?
No. Every row is a sourced fact on the public record: what the bank, a regulator, a filing or an independent outlet has put on the record. The page does not rate how well anything works.
When was this checked, and how often does it update?
The data behind the table was last checked on 2026-10-28 (bank profiles and the NICE Actimize vendor page). The page recomputes whenever that dataset changes and is republished with the site; it is never edited by hand.
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