About Audit Sentry
An Azure-native practice focused on data governance, AI risk assessment, and auditable AI systems — so organizations can scale automation with evidence, control, and accountability.
Our Mission
We help organizations govern sensitive data and AI systems with the same rigor expected of financial and operational controls. Audit Sentry designs Azure-native governance, risk, and auditing capabilities that make PII handling, model usage, and automated decisions traceable, reviewable, and defensible.
Who We Are
Audit Sentry is a specialized team of Azure architects, data-protection engineers, and AI governance specialists. We work with founders, compliance leaders, and technical teams who need more than policy documents — they need working controls, audit trails, and repeatable assessments that stand up to review.
What We Focus On
Data Governance & Auditing
Classify, protect, and monitor PII and sensitive data across Azure workloads. We help you define ownership, access controls, retention, and audit evidence that can be reviewed on demand.
AI Risk Assessment
Identify where AI introduces data leakage, bias, over-reliance, or unapproved model use. We assess use cases, data flows, and control gaps before risk becomes an incident or audit finding.
AI Governance & Auditing
Put operating controls around AI: approved models, usage policies, logging, human review, and continuous monitoring. The goal is responsible AI that is auditable — not just documented.
Our Core Values
Secure by Design
Controls are built into data pipelines and AI workflows — not added after the fact.
Evidence Over Policy
Governance only matters if it can be demonstrated. We design for audit trails and reviewability.
Compliance Ready
We align data and AI controls to regulatory and customer expectations from the start.
Practical & Repeatable
Assessments and controls are designed to be used again — not as one-time reports.
Why Organizations Choose Audit Sentry
Data Governance
Implement PII protection, access control, retention, and audit logging across Azure data platforms and integrations.
AI Risk Assessment
Evaluate AI use cases, data exposure, and control gaps so leadership can approve, restrict, or redesign AI systems with confidence.
AI Governance
Establish model inventory, usage policies, monitoring, and auditability for responsible AI on Azure.