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regulated industries

20/May/2026
multi-agent framework selection illustration multi-agent framework selection illustration

Multi-Agent Framework Selection for Regulated Firms

Multi-agent framework selection is a compliance decision first. Score candidates on governance, integration, and operations before developer experience.
04/May/2026
json [ { "question": "Why does AI governance need industry-specific overlays?", "answer": "Industry-specific AI governance overlays exist because regulated sectors impose controls a generic framework does not cover. Banking adds model risk and fair-lending rules. Healthcare adds PHI boundaries. Gaming adds responsible gambling triggers." }, { "question": "What does AI governance look like in BFSI?", "answer": "BFSI AI governance follows US SR 11-7 model risk management, OCC 2013-29 / 2023-17, Reg B and ECOA fair lending, FCRA adverse-action accuracy, AML and OFAC screening, and SOX auditability. NAIC Model AI Bulletin and NY DFS Circular Letter No. 7 add insurer and state-level expectations." }, { "question": "What does AI governance look like in healthcare?", "answer": "Healthcare AI governance starts with HIPAA Privacy, Security, and Breach Notification rules, HITECH, HITRUST CSF, 42 CFR Part 2 for substance-use records, and FDA SaMD guidance with Predetermined Change Control Plans for adaptive models. State privacy laws add CMIA, NY SHIELD, and CCPA / CPRA health-data rules." }, { "question": "What does AI governance look like in casino gaming and hospitality?", "answer": "Casino AI governance addresses Title 31 BSA reporting, FinCEN MSB obligations, and state gaming commission rules from Nevada GCB, NJ DGE, Pennsylvania PGCB, and Michigan MGCB. The American Gaming Association responsible gambling framework guides intervention thresholds and guest data isolation across player analytics, AML, and loyalty systems." }, { "question": "What belongs in every overlay regardless of industry?", "answer": "Every overlay needs three elements: a named regulator mapped to specific controls, a sector-specific incident reporting cadence, and domain-trained model evaluation criteria. Without those three, the overlay is a label, not a control." } ] illustration json [ { "question": "Why does AI governance need industry-specific overlays?", "answer": "Industry-specific AI governance overlays exist because regulated sectors impose controls a generic framework does not cover. Banking adds model risk and fair-lending rules. Healthcare adds PHI boundaries. Gaming adds responsible gambling triggers." }, { "question": "What does AI governance look like in BFSI?", "answer": "BFSI AI governance follows US SR 11-7 model risk management, OCC 2013-29 / 2023-17, Reg B and ECOA fair lending, FCRA adverse-action accuracy, AML and OFAC screening, and SOX auditability. NAIC Model AI Bulletin and NY DFS Circular Letter No. 7 add insurer and state-level expectations." }, { "question": "What does AI governance look like in healthcare?", "answer": "Healthcare AI governance starts with HIPAA Privacy, Security, and Breach Notification rules, HITECH, HITRUST CSF, 42 CFR Part 2 for substance-use records, and FDA SaMD guidance with Predetermined Change Control Plans for adaptive models. State privacy laws add CMIA, NY SHIELD, and CCPA / CPRA health-data rules." }, { "question": "What does AI governance look like in casino gaming and hospitality?", "answer": "Casino AI governance addresses Title 31 BSA reporting, FinCEN MSB obligations, and state gaming commission rules from Nevada GCB, NJ DGE, Pennsylvania PGCB, and Michigan MGCB. The American Gaming Association responsible gambling framework guides intervention thresholds and guest data isolation across player analytics, AML, and loyalty systems." }, { "question": "What belongs in every overlay regardless of industry?", "answer": "Every overlay needs three elements: a named regulator mapped to specific controls, a sector-specific incident reporting cadence, and domain-trained model evaluation criteria. Without those three, the overlay is a label, not a control." } ] illustration

Industry-Specific AI Governance: BFSI, Healthcare, Gaming

Industry-specific AI governance layers BFSI, healthcare, and gaming controls on a generic base. See what each sector adds, US-led with…
13/Apr/2026
Low-code platform comparison for regulated industries Low-code platform comparison for regulated industries

Appian vs Mendix vs Pega: Choosing a Low-Code Platform for Regulated Industries

Compare Appian, Mendix, and Pega on FedRAMP, HIPAA, and AI capabilities. Find the right low-code platform for regulated industries.
26/Jan/2026
Monitor displaying binary code connected to flowing data stream. Monitor displaying binary code connected to flowing data stream.

Event-Driven vs Batch Integration in iPaaS

Compare event-driven vs batch integration iPaaS approaches for regulated enterprises — and learn when each model fits your compliance requirements.
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