[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fEUVgYPRu93wCEmh8vssB1Nx20BoAwpHDNwenDODyotQ":3},{"lesson":4},{"id":5,"slug":6,"article_id":7,"title":8,"body":9,"prevention":10,"framework_refs":11,"framework_notes":19,"status":27,"created_at":28,"published_at":29,"article":30,"tags":34,"podcasts":47,"controls":48},"16dc51ab-4d98-4d7c-bde9-ec5fa92bfa52","doj-flags-privacy-risks-in-characterai-user-data-sale-during-bankruptcy","cbdad1a6-2e38-4504-93ff-cbab2d91450e","DOJ Flags Privacy Risks in Character.AI User Data Sale During Bankruptcy","Character.AI's ambiguous privacy policy has left sensitive user conversations — including those involving minors — exposed to potential sale during bankruptcy proceedings, raising serious data protection concerns. When companies fail to clearly define how user data will be handled in exceptional circumstances like insolvency, users lose meaningful control over their personal information. This case highlights that privacy obligations do not dissolve when a company faces financial distress, and that vague data governance practices can create significant legal and ethical risks. The DOJ's intervention underscores that regulators are increasingly scrutinizing how AI companies handle intimate user data, particularly when vulnerable populations are involved.","**Immediate actions:**\n- Conduct a data minimization audit to identify and purge unnecessary sensitive user data, especially conversations involving minors, before any asset transfer occurs.\n- Appoint a consumer privacy ombudsman or data protection officer to oversee any data sale or transfer process to ensure compliance with existing user consent and applicable laws.\n\n**Long-term improvements:**\n- Rewrite privacy policies to explicitly address data handling in bankruptcy, acquisition, or wind-down scenarios so user expectations are clearly set from the outset.\n- Implement data classification frameworks that flag sensitive categories (e.g., data from minors) and enforce stricter handling, retention limits, and transfer restrictions.\n- Establish contractual data protection clauses in any future M&A or asset sale agreements to bind acquiring parties to the original privacy commitments made to users.\n\n**Governance and compliance measures:**\n- Require regular third-party privacy audits to assess whether actual data practices align with stated privacy policies.\n- Create an incident response playbook specifically addressing data governance during corporate restructuring, including notification obligations to regulators and users.",[12,13,14,15,16,17,18],"GDPR Article 32","NIST SP 800-53 SI-2: Flaw Remediation","NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control","ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities","CIS Control 3: Data Protection","CIS Control 17: Incident Response Management","NIS2 Article 21(2)(b)",{"GDPR Article 32":20,"NIS2 Article 21(2)(b)":21,"CIS Control 3: Data Protection":22,"NIST SP 800-53 SI-2: Flaw Remediation":23,"CIS Control 17: Incident Response Management":24,"ISO\u002FIEC 27001:2022 A.8.8: Management of technical vulnerabilities":25,"NIST CSF 2.0 PR.AA: Identity Management, Authentication, and Access Control":26},"Article 32 requires appropriate technical and organisational measures to protect personal data; Character.AI's ambiguous policy and lack of clear data governance in bankruptcy scenarios reflects a failure to implement such measures for sensitive user conversations.","NIS2 requires incident handling and risk management measures that protect personal data in operational disruptions; the absence of a clear policy for data handling during bankruptcy is a risk management gap directly relevant to this article.","CIS Control 3 mandates that organisations inventory, classify, and protect sensitive data; had Character.AI applied data classification and retention limits to user chats — especially those involving minors — the scope of the privacy risk in a sale would have been significantly reduced.","While typically applied to software flaws, the principle of identifying and correcting weaknesses applies here to the organisational 'flaw' of an ambiguous privacy policy that failed to account for data handling during insolvency.","A mature incident response framework would include predefined procedures for data governance during corporate restructuring, ensuring that sensitive user data is not exposed or mishandled when the company faces unexpected operational disruption like bankruptcy.","Broader information security management under ISO 27001 requires organisations to address privacy and data-handling risks systematically, including defining how data is managed during corporate lifecycle events like bankruptcy.","Proper governance of who can access, transfer, or sell user data — especially data from minors — requires clear authorisation policies that Character.AI's ambiguous framework did not provide.","published","2026-10-30T21:20:25.882556+00:00","2026-10-30T21:20:25.869+00:00",{"id":7,"url":31,"slug":32,"title":33},"https:\u002F\u002Ftherecord.media\u002Fdoj-raises-privacy-concerns-over-character-ai-sale","doj-raises-privacy-concerns-over-potential-sale-of-character-ai-chats-648e90","DOJ raises privacy concerns over potential sale of Character.AI chats",[35,41],{"id":36,"name":37,"slug":38,"description":39,"color":40},"c0dcc566-3654-4d70-8ede-262a198e732f","Regulatory Compliance","regulatory-compliance","GDPR, NIS2, DORA, sector-specific violations","#ec4899",{"id":42,"name":43,"slug":44,"description":45,"color":46},"c8b843a5-d5a7-41d1-8d3b-cabded09d2ef","Data Protection","data-protection","Unencrypted data, missing DLP, poor classification","#3b82f6",[],[49,53],{"slug":50,"name":51,"problem":52},"data-loss-prevention","Data loss prevention (DLP)","Sensitive data cannot quietly leave by email, upload, USB stick or AI tool.",{"slug":54,"name":55,"problem":56},"compliance-automation","Compliance automation (GRC)","Evidence for NIS2, DORA and ISO 27001 is collected continuously, not in a rush before the audit."]