Secure Access · Data Protection
Dynamic data masking & object access control
Shield sensitive columns in real time and enforce least-privilege down to the row. DBHawk applies masking and access policy at query time — for every user, every tool, and every AI query — without changing your database.
PII & PHI protection GDPR · HIPAA · PCI-DSS ready No data copies, no ETL 
Why it matters
Sensitive data shouldn't depend on who's asking nicely
Analysts, developers, support staff and now AI agents all touch production data. Without column-level masking and least-privilege controls, a single broad query can expose PII, PHI, or payment data — and you can't prove it didn't. DBHawk enforces protection at the query layer, so the data is shielded no matter who runs the query or how.
Column-level masking
Redact or partially reveal fields like SSN, card numbers, salary and email based on the user's role — dynamically, at query time.
Row-level policy
Restrict which records a user can see — by region, tenant, department or any attribute — with policy filters applied automatically.
Applies to AI too
Hawk AI's generated queries run under the same masking and access rules — no AI back door around your data controls.
Capabilities
Protection that travels with the query
Dynamic masking — full, partial, or pattern-based redaction, no data duplication.
Object access control from database and schema down to table, view, column and row.
Role- and policy-based rules mapped to your SSO groups.
Enforced everywhere — SQL editor, query builder, reports, exports, API and Hawk AI.
No database changes — masking lives in DBHawk, so nothing is altered at the source.
Fully audited — masked-field access is logged for compliance evidence.
FAQ
Data masking & access control — questions
Is this static or dynamic data masking?
Dynamic. Masking is applied in real time as the query runs, based on the requesting user's role and policy. The underlying data is never copied or altered — the same column returns full values to authorized users and redacted values to everyone else.
Do I have to change my database to enable masking?
No. Masking and access rules live in DBHawk's policy layer, in front of the database. There are no schema changes, triggers, or views to maintain at the source, and the same policies apply consistently across every supported database.
Does masking also apply to AI-generated queries?
Yes. Queries that Hawk AI generates and executes run under the exact same object access control and masking rules as a human user. There is no path — human, tool, export, API, or AI agent — that bypasses your data-protection policies.
Which regulations does this help with?
Column-level masking and least-privilege access directly support GDPR, HIPAA, PCI-DSS, SOX and similar mandates by ensuring PII, PHI, and cardholder data are only exposed to authorized roles — with a full audit trail as evidence.
Shield sensitive data — for every user and every AI query
See how DBHawk masks PII and enforces least-privilege access in real time, with no changes to your database.