[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fACQvBl4jcyoOFHTGE5etNrfXzd2SoKmdBJiWwC30pWA":3},{"lesson":4},{"id":5,"slug":6,"article_id":7,"title":8,"body":9,"prevention":10,"framework_refs":11,"framework_notes":21,"status":22,"created_at":23,"published_at":24,"article":25,"tags":29,"podcasts":42,"controls":43},"d5476b92-79d3-45a4-96ee-27fdacf95f24","edpb-calls-for-legal-basis-to-enable-cross-regulatory-information-sharing","c41b10ba-e63e-43ec-954a-438e092d677a","EDPB Calls for Legal Basis to Enable Cross-Regulatory Information Sharing","The EDPB has highlighted a critical governance gap: regulators across different domains lack a clear legal framework to share information with one another, undermining coordinated enforcement of the GDPR. As cases grow more complex — particularly those involving AI systems that intersect data protection, competition, and sector-specific regulations — siloed enforcement leads to inconsistent outcomes and weakened protection for individuals. Without a defined legal basis, inter-regulatory cooperation risks being legally challenged, slowing down enforcement actions. This matters because modern data-driven systems rarely fall under a single regulatory regime, making cross-authority collaboration essential for effective oversight.","**Organizational Governance Actions:**\n- Establish an internal cross-functional compliance team that maps all applicable regulatory obligations (GDPR, AI Act, sector-specific rules) relevant to your data processing activities.\n- Document and maintain a legal basis register for every data sharing activity, including those with external authorities or partners.\n\n**Long-term Compliance Improvements:**\n- Implement a regulatory change monitoring process to track evolving EDPB guidance, new legal bases, and inter-regulatory cooperation frameworks.\n- Design data architectures with regulatory boundary awareness, ensuring data flows can be audited and restricted per jurisdiction or regulatory context.\n- Engage legal counsel proactively when deploying AI systems that may fall under multiple overlapping regulatory regimes.\n\n**Detection and Audit Measures:**\n- Conduct periodic Data Protection Impact Assessments (DPIAs) that explicitly assess cross-regulatory risks, especially for AI-driven processing.\n- Establish audit trails for all information shared with or received from regulatory bodies to ensure accountability and legal defensibility.",[12,13,14,15,16,17,18,19,20],"GDPR Article 6 (Lawfulness of processing)","GDPR Article 60 (Cooperation between supervisory authorities)","GDPR Article 61 (Mutual assistance)","GDPR Article 62 (Joint operations of supervisory authorities)","NIST Privacy Framework PR.PO-P1 (Policies, processes, and procedures)","NIST SP 800-53 PM-9 (Risk Management Strategy)","CIS Control 18 (Penetration Testing \u002F Governance alignment)","ISO\u002FIEC 27701 (Privacy Information Management)","ITIL Service Design – Compliance Management",{},"published","2026-07-20T16:21:28.957387+00:00","2026-07-20T16:21:28.691+00:00",{"id":7,"url":26,"slug":27,"title":28},"https:\u002F\u002Fwww.cnil.fr\u002Ffr\u002Fcepd-base-juridique-interreglementaire","le-cepd-demande-une-base-juridique-pour-le-partage-d-informations-interreglement-35864c","Le CEPD demande une base juridique pour le partage d’informations interréglementaire",[30,36],{"id":31,"name":32,"slug":33,"description":34,"color":35},"c0dcc566-3654-4d70-8ede-262a198e732f","Regulatory Compliance","regulatory-compliance","GDPR, NIS2, DORA, sector-specific violations","#ec4899",{"id":37,"name":38,"slug":39,"description":40,"color":41},"c8b843a5-d5a7-41d1-8d3b-cabded09d2ef","Data Protection","data-protection","Unencrypted data, missing DLP, poor classification","#3b82f6",[],[]]