Enterprise Controls and Trust
Latest articles in Enterprise Controls and Trust.
PII Redaction API Guide (2026): AWS, Google Cloud, Azure, and Presidio Compared for LLM Apps
A PII redaction API finds and masks personal data in text. Compare Amazon Comprehend, Google Sensitive Data Protection, Azure Language PII and Presidio, with code, pricing units, real detection results and an LLM redaction pipeline.
AI Security Audit: A Practical Test Plan, Evidence Checklist, and Report Template for LLM Apps
An AI security audit tests what your LLM application actually does, not what a vendor claims. This guide gives a scope template, 12 OWASP-mapped tests with input, expected control, evidence and remediation, a safe test harness, severity rules, and a report template.
Error "API Key Not Found in Cookies": 6 Ways to Fix It
Fix API Key Not Found in Cookies and common API key not working failures with cookie checks, Bearer-token setup, proxy debugging, and key rotation.
API Key Management Best Practices for AI Products (2026 Checklist)
A practical API key management checklist for AI products: keep keys server-side, scope one key per environment, rotate without downtime, verify revocation, scan for leaks, and respond fast when a key is exposed.
OpenAI API Access for Multi-Model Products: A Production Setup Guide
Set up OpenAI API access for a production multi-model product with project-scoped credentials, endpoint checks, rate-limit handling, canaries, and fallback readiness.
AI Gateway for Teams: Claude API Access Beyond One-Region Setups
Evaluate one shared AI gateway for Claude API access, multi-model routing, consolidated billing, key management, and team controls.
AI Gateway for Teams: Claude API Access, Billing, Routing, and Controls
A practical buyer guide for engineering, platform, finance, and procurement teams evaluating one gateway for Claude access, billing, routing, and controls.
AI API Secret Scanning: Find Provider Keys Before They Become Incidents
Use AI API secret scanning to find provider keys in repos, CI, logs, and runbooks before leaks become incidents. Includes owner and rotation evidence.
SOC 2 AI API Gateway Scope: What the Report Should and Should Not Prove
Use this SOC 2 AI API gateway scope checklist to separate what a report can prove from route, provider, logging, retention, and buyer-owned follow-up evidence.
AI Gateway DPA Checklist: Data Processing Questions for Model Routing Buyers
A practical AI gateway DPA checklist for procurement, security, and platform teams reviewing model routing, logs, retention, subprocessors, and support access.
AI Model Provider Evidence Review: What to Save Before Approving a New Route
Save the model docs, pricing, data terms, status, support, route tests, and rollback proof every AI model provider evidence review needs before approval.
AI API Redaction Policy: Protect Prompts, Outputs, Logs, and Support Tickets
A practical AI API redaction policy for protecting prompts, outputs, gateway logs, exports, and support tickets while preserving useful audit evidence.
AI Gateway SLA Questions for Model Routing, Fallback, and Support
Use these AI gateway SLA questions to turn uptime, fallback, support, and third-party dependency claims into buyer-owned evidence before renewal.
AI Gateway Procurement Evidence Packet: What to Save Before Approval
Build a buyer-owned AI gateway procurement evidence packet with vendor identity, data handling, access controls, logs, billing proof, smoke tests, and sign-off triggers.
AI API Access Review: Key Owners, Rotation, Scopes, and Offboarding
Run an AI API access review for gateway keys with owners, scope checks, rotation steps, offboarding triggers, audit evidence, and Flatkey gateway review points.
AI Governance Checklist (2026): Model Approval, Launch, Re-Review, and Retirement
A 32-control AI governance checklist for teams building on model APIs, organized by NIST AI RMF Govern, Map, Measure, and Manage, with re-review triggers, EU AI Act dates, and a YAML approval record you can enforce in CI.
AI API Data Retention Checklist: Logs, Prompts, Outputs, and Billing Records
Use this AI API data retention checklist to decide which prompts, outputs, request logs, audit events, billing records, provider settings, and export copies should exist after a model call.
AI API Payload Logging: Privacy, Debugging, and Audit Tradeoffs
AI API payload logging helps teams debug model traffic, but raw prompts and responses can become sensitive records. Use this decision guide to choose metadata-only logs, redacted payloads, short-retention debug vaults, and audit evidence.
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