# Which tools connect suspicious device fingerprints across global networks for real-time financial fraud prevention software?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">We're researching which <a class="a a--md" elv="true" href="https://www.g2.com/categories/financial-fraud-prevention">financial fraud prevention tools</a> connect device fingerprints across global networks for real-time fraud detection:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/reviews"><strong>Sift</strong></a>: The etwork graph links device fingerprints, IP addresses, and behavioral signals across its global network of connected businesses, surfacing connections between accounts that share suspicious device, browser, or login characteristics.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/eftsure/reviews"><strong>eftsure</strong></a>: Cross-references every supplier's bank account details against its crowd-sourced verification network, identifying when the same account details are associated with multiple entities or when unrecognized accounts appear across the network. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sas-sas-fraud-anti-money-laundering-security-intelligence/reviews"><strong>SAS Fraud, Anti-Money Laundering &amp; Security Intelligence</strong></a>: SAS applies network analytics to AML investigation, connecting entities, transactions, and relationships across the data environment to surface fraud rings and money laundering networks that aren't visible from individual transaction analysis. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sardine/reviews"><strong>Sardine</strong></a>: The device intelligence layer generates persistent device fingerprints that are tracked across sessions and platforms, with consortium network data connecting suspicious device signals across the Sardine customer network to identify the same device or device cluster appearing in fraud attempts at multiple businesses simultaneously.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/trustpair/reviews"><strong>Trustpair</strong></a>: Connects beneficiary account data to authoritative external registries and continuously monitors for the account detail change patterns that indicate account hijacking networks operating across the supplier base.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Which device network signal creates the most detection value for your team — shared device fingerprints across accounts, IP cluster patterns, or account detail reuse across entities?</p>

##### Post Metadata
- Posted at: 2 months ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I believe the cross-network device fingerprinting capability is what separates platforms that can catch organized fraud rings from ones that only see patterns within their own data.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 2 months ago
- Author title: Marketing Executive





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