Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.
Mortgage AI requests can contain nonpublic personal information assembled from loan files, retrieval systems and hidden instructions. Protection needs to classify the final payload, remove unnecessary fields, authorize the exact provider account and apply approved retention before customer information reaches a model service.
Read post →Medical device teams can expose complaint details, design material and protected health information when AI applications assemble outbound context. Request-level protection classifies the full payload, removes unnecessary fields, restricts the exact model destination and establishes retention before transmission.
Read post →Maritime AI controls should classify the complete model request, remove voyage, cargo and crew data the task does not need, enforce an approved provider account and set retention before transmission. This article maps those controls to IMO cyber risk and ISM Code processes while keeping navigation, SMS ownership and unmanaged routes outside the gateway boundary.
Publishers send source notes, unpublished copy, subscriber details and rights material through AI workflows. Protection starts before the HTTP request leaves: classify the assembled context, remove unnecessary content, approve the exact provider account and set retention for the provider and the protection record.
Read post →Higher education AI controls should classify the complete model request, remove student and research data the task does not need, enforce an approved provider account and set retention before transmission. This article applies FERPA and the NIST Privacy Framework while keeping academic judgment, research oversight and unmanaged routes outside the gateway boundary.
Defense contractors need to classify CUI, bind it to an authenticated caller and enforce an approved LLM destination before transmission. This article applies the CMMC system boundary and NIST information-flow controls to model requests, then separates request enforcement from endpoint security, supplier oversight and records management.
Read post →Ecommerce AI controls should classify customer data, remove fields the task does not need and permit only an approved provider account before transmission. This article applies FTC data-security guidance and the Safeguards Rule where it covers a merchant activity, while separating managed LLM traffic from browser bypasses, payment systems and vendor-internal AI.
DORA took effect January 17, 2025. The regulation treats AI vendors as ICT third-party service providers. Financial entities must maintain a register of contractual arrangements, monitor concentration risk, and demonstrate exit strategies. AI inference sits squarely inside the obligation.
Read post →Azure AI Content Safety provides moderation and Prompt Shields for Azure workloads. DeepInspect adds identity-aware policy and audit evidence on routed HTTP LLM requests. Compare the control boundaries.
Read post →An Anthropic API gateway adds identity-aware policy and an audit record to Claude API requests. This guide maps the Messages API, batches, streaming responses, prompt caching, and computer-use response blocks to the evidence an enterprise needs for each routed request.
Read post →Airline AI requests can combine passenger identity, Secure Flight fields, emergency contacts and watch-list results even when the task looks routine. Federal rules attach different collection, notice, confidentiality and purpose limits to those fields. The practical control must distinguish them inside each authenticated HTTP request, restrict the model destination and record the decision before transmission.
Read post →FDA Part 11 applies to electronic records maintained under FDA record requirements and to specified electronic submissions, not to every file a biotech company creates. When an LLM request carries or changes an in-scope record, closed-system access controls or open-system protection measures reach the model boundary. This article maps authorized access, authority checks, encryption and request policy to managed HTTP traffic while leaving validation and GxP decisions with quality owners.
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