SOC2C

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Cloudcard

Trust level
Listed
Unverified

Sourced from public information. Not yet verified by the company.

Cloudcard is SOC 2 Type II compliant.

Framework
Auditor
Last report
Renewal
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About

We give students and employees the freedom to snap a selfie and sign their cardholder agreement from the control of their phone, tablet, or computer. And we do so with a deep commitment to security. Learn more about our security controls and policies below. For system status, visit [status.onlinephotosubmission.com](https://status.onlinephotosubmission.com/) or [status.cloudcard.ca](https://status.cloudcard.ca/)

Compliance & infrastructure

Hosting
AWS
Data handled
Customer personally identifiable informationEmployee personally identifiable informationCredit card informationPersonal health information

Subprocessors

3
  • A
    Amazon Web Services · Infrastructure / Platform / Software as a Service
    United States / Canada
  • R
    RemoveBG · Removal of Photo Backgrounds
    European Union
  • Z
    ZeroBounce · Email Validation
    European Union

Compliance leadership

The person who leads Cloudcard's SOC 2 isn't listed yet. Claim this profile to add it.

Penetration test

Unknown. Cloudcard's penetration test vendor isn't listed yet.

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Recent updates

TestOct 2025

This is a test

This listing is partial

5/11 details · 45%

SOC2C shows the verified essentials. 6 details are not yet provided by the company. Trust centers list more, so we invite the owner to fill the gaps here.

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  • Documents
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Frequently asked

Is Cloudcard SOC 2 compliant?
Cloudcard is SOC 2 Type II compliant. On SOC2C this listing is Listed.
Is Cloudcard SOC 2 Type I or Type II?
Cloudcard is SOC 2 Type II compliant. A Type II report covers how security controls operated over a period (typically 3 to 12 months), a stronger signal than a point-in-time Type I.
Can I use Cloudcard's SOC 2 for a vendor risk assessment?
Yes. Cloudcard's SOC 2 status, frameworks, auditor, and renewal timing are on SOC2C for vendor risk and security reviews. Request the underlying report through SOC2C to complete your third-party risk file.
Is Cloudcard penetration tested?
Cloudcard hasn't listed its penetration testing on SOC2C yet. SOC 2 Type II programs typically include periodic third-party penetration tests; the company can add who performed theirs.
Is Cloudcard secure?
Security isn't a single yes/no, but Cloudcard is SOC 2 Type II compliant. SOC2C verifies its compliance posture and shows how strongly each fact is proven.

Answers published by Cloudcard

Reproduced from Cloudcard's own trust center. These are the company's statements about its security practices — SOC2C has not tested or verified them, and they may have changed since we last read the page. Check the source ↗

Where can I find CloudCard's Responsible Disclosure Policy?
This policy is available in this Trust Center - see Responsible Vulnerability Disclosure Policy.
Do you have a Bug Bounty Program?
We have a Responsible Vulnerability Disclosure Policy. While we do not offer financial rewards for vulnerability disclosure, we do acknowledge contributions on the CloudCard Responsible Disclosure Acknowledgements page.
How is the model operated by the application?
The AI models operate within the RemotePhoto application to automate the reviewing of submitted photos. Once a photo is uploaded, the AI analyzes it in real-time, providing immediate feedback to the user if the photo meets the necessary criteria or if a new submission is required. This process reduces the need for manual review and accelerates the overall ID issuance workflow.
What technologies are used in the AI?
RemotePhoto employs AI-driven image processing techniques to automate tasks such as cropping, rotating, and classifying photos. Optional features include background removal, facial recognition/comparison, and optical character recognition (OCR) for enhanced verification. Our AI does not use generative techniques, and we do not modify the portion of the image containing the person.
What AI algorithms are used by the application?
The application utilizes neural networks for image analysis tasks. These may include convolutional neural networks (CNNs) for image classification and processing. The system also employs machine learning techniques to improve its accuracy over time through exposure to a diverse set of photo submissions.