Do they own your data? Canny Privacy Policy Reviewed.

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Final Enterprise Readiness Rating: 4/10

⚠️ Partially ready (Reviewed 2026).

⚠️ Recommendation for Enterprises:

Adopt Canny with caution. Be especially careful if you handle:

• Health, financial, legal, or regulated data
• Sensitive IP or trade secrets
• EU customer data requiring strict residency

Instead, consider AI tools that:

• Offer SOC 2 Type II compliance
• Provide data residency options
• Support enterprise privacy controls
• Disclose AI/ML processing capabilities

Better Alternative:

✅ BuildBetter.ai — GDPR, SOC 2 Type 2, and HIPAA compliant

✅ Zero training on customer data

✅ You own your data. Fully opt-in privacy model.

🔍  Canny Privacy Policy – Enterprise Risk Assessment

Audience: Security-conscious enterprise organizations evaluating Customer feedback management and feature voting platform for internal use in highly sensitive or regulated environments (e.g. legal, healthcare, finance, tech/IP-heavy orgs).

⚠️ Where Canny Falls Short – Critical Gaps

🔒  1. Data Residency & Storage

Quote: "we transfer the data to United States and process it there... Personal data is transferred to servers maintained by Amazon Web Services (AWS). AWS has certified to the EU-U.S. Data Privacy Framework (DPF)"

Risk: Enterprises in regulated industries often require data to remain in specific jurisdictions or have strict cross-border transfer controls. US-only processing creates compliance risks for EU/UK entities.

Enterprise Issue:

• No regional data residency options
• Forced US data processing
• No VPC or on-premises deployment options

Verdict: ⚠️ US-only with minimal safeguards

🧠  2. AI Model Use

Risk: For a customer feedback platform, AI capabilities are likely but completely undisclosed. Enterprises need transparency about how AI processes their sensitive customer data.

Enterprise Issue:

• No AI disclosure
• No opt-out mechanisms for AI processing
• No bring-your-own-model options

Verdict: ❌ Zero visibility into AI processing

📊  3. Data Minimization

Quote: "Customer Data may include, without limitation, (a) personal information such as names, and email addresses of your end user customers, potential customers and other users"

Risk: 'Without limitation' language creates unlimited data collection scope. Enterprises need precise boundaries on what customer data is processed.

Enterprise Issue:

• Unlimited customer data collection
• No data minimization controls
• Broad usage data collection including IP addresses

Verdict: ⚠️ Broad collection with vague boundaries

⚙️  4. Privacy Controls

Quote: "You may opt out of receiving any, or all, of these communications from us by following the unsubscribe link"

Risk: Enterprises need granular, admin-controlled privacy settings to manage compliance across teams. Individual opt-outs don't meet enterprise governance requirements.

Enterprise Issue:

• No workspace-level controls
• No admin privacy management
• Only marketing opt-out available

Verdict: ❌ Consumer-grade controls inadequate for enterprise

📦  5. Compliance & Auditability

Risk: Regulated enterprises require vendors to demonstrate compliance through independent audits. Absence of certifications creates vendor risk management issues.

Enterprise Issue:

• No SOC 2 Type II certification
• No ISO 27001 certification
• No HIPAA compliance
• No audit trail capabilities mentioned

Verdict: ❌ Fails basic compliance checklist

📬  6. Consent Handling

Quote: "By using the Service, you agree to the collection and use of information in accordance with this policy"

Risk: Enterprises collecting customer feedback need automated consent workflows and audit trails to comply with GDPR and other privacy regulations.

Enterprise Issue:

• No consent automation features
• No customer consent workflows
• No consent audit trails

Verdict: ❌ No enterprise consent automation

🔍  7. Model Explainability

Risk: GDPR Article 22 requires disclosure of automated decision-making. Customer feedback platforms likely use algorithms enterprises need visibility into.

Enterprise Issue:

• No automated processing disclosure
• No algorithm transparency
• No processing logs mentioned

Verdict: ❌ Zero transparency into automated processing

🧼  8. Data Retention & Deletion

Quote: "Canny Inc will retain your Personal Data only for as long as is necessary for the purposes set out in this Privacy Policy"

Risk: Enterprises need configurable retention policies and guaranteed deletion timelines to meet regulatory requirements and minimize data exposure.

Enterprise Issue:

• No configurable retention periods
• Vague necessity-based retention
• No guaranteed deletion timelines

Verdict: ⚠️ Vague retention with no enterprise controls

🤝  9. Third-Party Sharing

Quote: "These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose"

Risk: Third-party sharing is limited to operational needs with contractual protections, which is acceptable for enterprise use.

Enterprise Issue:

• Google Analytics integration by default
• Advertising remarketing enabled

Verdict: ✅ Limited sharing with reasonable safeguards

✅ What Canny Does Right (Credit Where It's Due)

• Uses reputable AWS infrastructure
• Complies with EU-US Data Privacy Framework
• Provides clear third-party processor disclosure
• Offers basic user rights access and deletion
• No data selling mentioned

Disclaimer: This evaluation is based solely on publicly available information and documentation. For formal enterprise vetting, always request a vendor's latest DPA, security whitepaper, and third-party audit reports.