AI Governance
Define ownership, provider/data boundaries, human oversight, evaluation, change control and operational accountability.
AI GovernanceGuides for decisions across architecture, security, privacy, operations and release work. Use the review topics to prepare a conversation, then contact me directly through WhatsApp, phone or email.
Define ownership, provider/data boundaries, human oversight, evaluation, change control and operational accountability.
AI GovernanceReduce unnecessary data collection and make retention, access, logging and third-party handling explicit.
Privacy EngineeringReview assets, trust boundaries, threats, existing controls and next actions before a conversation.
Threat ModelingTreat dependencies, build inputs, secrets, artifacts, provenance and updates as part of software security.
Supply ChainReview exposure, segmentation, remote administration, DNS/TLS, device ownership, monitoring and recovery.
Network SecurityPlan what must be restorable, who owns recovery, where backups live, and how restore assumptions are tested.
Backup & RecoveryMake scope, risk, validation, rollback, communications and monitoring explicit before impactful changes.
Change ManagementReview external services, data, permissions, failure dependencies and exit planning.
Vendor ReviewReview product behavior, security, observability, rollback and support before a release.
Release ReadinessPrepare the context for a review: exposure, data, identity, integrations and the planned technical change.
Security Planner
Use the service and project planning guides to review the outcome, current environment, users, data and highest-impact uncertainty first.