Sift · Technology · United States
Low risk. 3 critical or high findings in Security headers and GDPR outside view.
Sift is a mature, established technology company specializing in AI-powered fraud decisioning and identity trust solutions for global businesses. Their platform leverages machine learning and a vast data network to help over 700 customers, including major brands like DoorDash and Yelp, to prevent fraud while enabling growth. The website reflects a professional, well-branded digital presence built on WordPress with modern front-end technologies and strong SEO practices. Security posture is solid with HTTPS enforced and monitoring via New Relic, though some security headers and explicit policies could be improved. No blocking or WAF interference was detected, allowing full content access and analysis. Overall, Sift presents as a credible and trustworthy business with a strong market position in fraud prevention technology.
Scanned
NIS2 Art. 21(2)
This scan rated NIS2 with an earlier keyword method that is no longer shown; rescan for the per-article view. Risk management, continuity, supply chain, training, MFA, management oversight (Art. 20) and incident reporting (Art. 23) need internal evidence, and Guard cannot tell whether NIS2 applies to this organisation.
GDPR is indicative only, based on publicly visible signals: Articles 7, 12, 13 and 32 of Regulation (EU) 2016/679 and Article 5(3) of the ePrivacy Directive. Not a certification or legal assessment.
3 findings rated critical or high. Fix these first.
Security headers are instructions your web server sends to every visitor’s browser. Missing ones leave visitors more exposed to attacks such as clickjacking and injected scripts.
Controls resources the browser is allowed to load
What to do: Implement a Content-Security-Policy appropriate for your application
These are the privacy signals visitors and data protection authorities look for under GDPR.
GDPR requires clear information about cookie usage
What to do: Add a dedicated cookie policy explaining cookie usage and purposes
GDPR requires explicit consent for non-essential cookies
What to do: Implement a cookie consent banner that appears on first visit
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Each check with its score, findings and the evidence it collected.
The security score runs 0–100, higher is better. It is the plain average of the security checks that completed in this scan, each counted equally. A check that could not run is left out: it counts neither as a pass nor as a fail.
Counted in this score
Not counted
Findings that cap the score at 49
Each of these is serious on its own, so while any is present the site cannot rate better than high risk, however good the other checks are.
Partial scans
When the site blocks Guard or most checks cannot run, the score covers only the checks that ran (usually DNS and email), is capped at 75 and is shown as partial, without a risk level.
Risk levels
Leaked credentials and lookalike domains from OffSeq Breach. The counts are free; the detailed lists are paid add-ons.
Leaked records that mention sift.com, from OffSeq Breach.
9 subdomains affected
See the 10 newest leaked credentials
A one-off add-on to this report that lists the most recent identifier and password pairs OffSeq Breach holds for sift.com.
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Breach keeps ingesting new leaks, so these numbers can grow between scans.
Business context, site observations and technical notes gathered during the scan, and the standards behind each reference.
Automated reading of the public site. Ratings are indicative.
Reference chips under each finding point to the standard, regulation or specification the finding relates to. They are taken from the official datasets below and mapped conservatively: a finding with no defensible link shows none. NIS2 and GDPR references mark where a finding is relevant evidence, not a compliance verdict. Implementing Regulation (EU) 2024/2690 binds digital infrastructure and digital service providers; for other entities it is the most detailed public reading of the Article 21 measures. WCAG, EN 301 549, European Accessibility Act and Web Accessibility Directive references name the requirement an automated accessibility rule relates to; they are not a conformance verdict.
Retrieved 2026-10-25
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