Directory of AI third party and vendor risk management vendors for financial institutions
The AI FinTech Index holds 3 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.
No vendor pays for inclusion, placement or rating. Counts generated 2026-08-24 across 490 indexed vendors. What moved is in the change log.
This is diligence performed on parties that did not choose the vendor and will not see the output, which is why the omission failure matters more than the error failure. Ask what sources are searched, what is not, and how an adverse finding is corroborated before it reaches a decision.
What is in this directory. Screened to assessment of suppliers, partners and counterparties. Customer onboarding diligence sits in the KYB directory.
Part of the wider Compliance, Surveillance & RegTech category.
What the public record shows in this directory
The share of the 3 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.
The AI FinTech Index lists 3 AI third party and vendor risk management vendors for financial institutions, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how much the system decides on its own at 100 percent, and the thinnest is deployment model and data residency at 0 percent, which is 46 highest of 50 directories in the index on that question. Across the whole index of 490 vendors, none documents all nine regulatory axes in public and the average documents 2.94.
Source: AI FinTech Index, August 2026
| Vendor | Category | AI Centrality | Website |
|---|---|---|---|
|
E
Exiger
Exiger assesses risk in the third parties, suppliers and customers an organisation depends on, combining due diligence and screening engines long deployed in bank financial crime work with supplier network mapping, sanctions and denied party screening with ownership thresholds and alias resolution, and agentic automation that routes alerts to owners, launches remediation and records closure against an audit trail. Financial institutions use it for third party risk management, financial crime compliance and operational resilience obligations alongside corporate and government buyers.
|
Compliance, Surveillance & RegTech | B | exiger.com |
|
I
Intelligo Group
Intelligo sells AI driven background intelligence and due diligence to banks, investment funds, insurers and institutional investors through its Clarity platform. Models sift millions of records across corporate registries, legal filings, asset records, regulatory data, news media, social media and data leak sources, identify patterns and produce a risk report on a named individual or company, which human analysts then validate. Named uses are pre investment and investment due diligence, merger and acquisition diligence, executive background checks, asset tracing and continuous monitoring that flags red flags on an existing relationship in real time. The company was acquired by Carrick Capital Partners in September 2025.
|
Compliance, Surveillance & RegTech | A | intelligo.ai |
|
K
Kobalt Labs
Kobalt Labs automates third party and partner due diligence for banks and fintechs, a compliance function distinct from customer monitoring. Its reasoning engine ingests an institution's own policies, procedures, legal commitments and prior assessments, syncs against external regulation and security standards, then reads a counterparty's contracts and documentation to surface missing clauses, risky language, security gaps and regulatory shortfalls, pulling in beneficial ownership, financing history, adverse news, litigation and enforcement records alongside. It is aimed at community, regional and sponsor banks scaling partner volume, and at fintechs diligencing their own partners.
|
Compliance, Surveillance & RegTech | A | kobaltlabs.com |
Common questions
Is there a directory of AI third party and vendor risk management vendors for financial institutions?
Yes. The AI FinTech Index lists 3 AI third party and vendor risk management vendors for financial institutions, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-08-24.
What counts as third party and vendor risk in this directory?
Screened to assessment of suppliers, partners and counterparties. Customer onboarding diligence sits in the KYB directory. The index holds 3 vendors meeting that screen, drawn from a wider Compliance, Surveillance & RegTech category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.
What should a buyer check before shortlisting third party and vendor risk vendors?
Start with what this segment does not publish. Across the 3 indexed vendors, the thinnest parts of the public record are deployment model and data residency at 0 percent, which models sit underneath at 0 percent, and liability and customer recourse at 0 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. This is diligence performed on parties that did not choose the vendor and will not see the output, which is why the omission failure matters more than the error failure. Ask what sources are searched, what is not, and how an adverse finding is corroborated before it reaches a decision.
Other directories in Compliance, Surveillance & RegTech
One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.