Blog

Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.

AI Vendor Risk in Higher Education Starts with the Student Record Route

FERPA permits a contractor to receive education-record information under the school official exception only under defined conditions, including direct institutional control over record use and maintenance. AI services add a live disclosure route that procurement files alone cannot describe. This article maps FERPA duties onto authenticated model requests.

Industry Verticalsai-securityai-governanceai-complianceauditpolicy-enforcementidentity-and-authorization
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AI Vendor Risk for Health Payers Starts With the Member Data Route

HIPAA applies security and privacy requirements to health plans and, where provided, business associates. CMS prior authorization rules also increase the structured claims and clinical data moving through payer APIs. This article connects vendor contracts and risk review to the authenticated model request that carries member PHI.

Industry Verticalsai-securityai-governanceai-compliancehipaaauditpolicy-enforcement
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AI Vendor Risk for Dental Practices Starts With the BAA Scope

HHS now lists a third-party AI chatbot using patient PHI as an example of a business associate. Dental practices need to connect BAA terms, subcontractor duties, HIPAA risk analysis, and audit controls to the exact account, endpoint, model version, and authenticated request carrying chart or claim data.

Industry Verticalsai-securityai-governanceai-compliancehipaaauditpolicy-enforcement
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AI Vendor Risk in Construction Starts Before the Safety Report

OSHA record rules protect identifiable injury information and can require employee medical records to be preserved for the duration of employment plus thirty years. Construction teams need AI vendor controls before a superintendent, safety manager, or claims workflow sends the unredacted source narrative to a model.

Industry Verticalsai-securityai-governanceai-complianceauditpolicy-enforcementidentity-and-authorization
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AI Vendor Risk in Logistics Follows the Shipment Data Route

A logistics platform can send shipment details, customer instructions, warehouse exceptions, and carrier records through several AI suppliers under one product name. NIST guidance treats untraceable third-party components and weak supplier vetting as value-chain risk. Logistics teams need deployment-level vendor records joined to evidence from each managed model request.

Industry Verticalsai-securityai-governanceai-complianceauditpolicy-enforcementidentity-and-authorization
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AI Vendor Risk for Law Firms Follows the Matter Data

California ethics guidance tells lawyers to understand how an AI product collects and uses information, plus how it stores or discloses client information, with diligence that extends beyond marketing claims. Law firms need vendor records tied to each deployment and matter, plus request evidence showing who sent which data to which model under which policy.

Industry Verticalsai-securityai-governanceai-complianceauditcompliancepolicy-enforcement
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AI Vendor Risk in K-12 Education Follows Each Student Data Request

FERPA makes the school-official exception conditional on educational purpose and district control, with limits on use and redisclosure. The amended COPPA Rule adds security and retention duties, plus service-provider assurance for covered operators. K-12 vendor review should turn those conditions into policy and evidence for each managed LLM request.

Industry Verticalsai-securityai-governanceai-compliancecomplianceauditpolicy-enforcement
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AI Vendor Risk in Energy and Utilities Needs a Route-Level Record

NERC CIP-013-2 requires covered entities to develop, implement, and periodically approve supply-chain cyber risk plans for specified high- and medium-impact BES Cyber Systems. DOE separately identifies compromise of the AI software supply chain as a critical-energy-infrastructure risk. This article maps those bounded duties onto authenticated model traffic.

Industry Verticalsai-securityai-governanceai-complianceauditpolicy-enforcementidentity-and-authorization
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AI Vendor Risk in Agriculture Starts With the Model Route

NIST treats third-party AI risk as an operating discipline that includes inventory, policy, monitoring, and contingency planning. Agricultural businesses need those controls at the model request, where crop plans, field records, pricing assumptions, and equipment data can leave through an approved vendor under the wrong use.

Industry Verticalsai-securityai-governanceai-complianceauditpolicy-enforcementzero-trust
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Employee Copilot Usage Policy: 7 Enforceable Rules

A Copilot policy needs seven enforceable rules: approved tools, prompt data, output review, audit evidence, and an HTTP request control. This guide covers the ownership, monitoring, incident-response, and training records that let a security team demonstrate the policy in practice.

Problem-Awarecopilotai-usage-policyshadow-aigovernancepolicy-template
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EU AI Act Article 14: 6 Human Oversight Controls

EU AI Act Article 14 lists six human-oversight controls for high-risk AI. See what reviewers must interpret, override, and halt in production, how a stop control must work at the request layer, and which audit evidence connects the reviewer to the decision.

Compliance & Regulationeu-ai-actai-governancecompliancehuman-oversightai-securityregulation
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