
AI Data Governance with Model Data BOM, de-identification / obfuscation, RAG controls to prevent leakage, RAG quality checks and agentic security — fitting operating models building generative-AI / RAG / agentic features whose data-governance posture cannot afford training-set leakage or sensitive-data exposure through prompts, particularly under EU AI Act and ISO 42001 scope.
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AI-driven Data Discovery and Data Classification across structured and unstructured data — fitting operating models whose privacy, HIPAA, PCI, GLBA and SOX scope cannot be served by spreadsheet-based data inventory or sampling-based scans, and whose policy decisions need accurate data context.
DSAR (Data Subject Access Request) automation, Data Mapping and Data Privacy Compliance covering GDPR, CCPA, CPRA, LGPD, PIPEDA, POPIA and other global privacy laws — fitting operating models whose privacy posture must produce documented, auditable evidence for regulators rather than rely on best-effort manual processes.
Cookie Consent Management with one of the few consent solutions able to block dynamic JavaScripts — fitting operating models whose web-tracking and consent posture must enforce real consent (not just disclose it) and whose adtech / martech stack injects scripts dynamically that simple consent banners cannot prevent.
Data Security Posture Management (DSPM) for public clouds and on-prem infrastructure with risk quantification for CISO and infosec teams (including SEC materiality and insurance-premium impact); Data Protection covering over-privileged access, data transfers and data residency; plus Data Deletion automation — fitting operating models whose data-risk posture must be quantified and reported.