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Data Integrity Policy

Data Integrity
Policy

Our strict internal policies for maintaining metadata integrity and preventing data corruption during the validation process. Every byte that enters our engine is protected by immutability, checksum verification, and cryptographic certification.

0
Data Modifications
100%
Checksum Coverage
7 years
Audit Retention
SHA-256
Hash Algorithm
Core Policies

Six Safeguards

Immutability Principle

Once a metadata payload is submitted for validation, it is hashed and stored immutably. No component of the validation engine — including administrators — can modify a submitted payload after it has been received. Any post-validation changes require a new submission with a new validation ID, creating a complete and tamper-evident audit trail.

Non-Destructive Validation

The validation engine never modifies the original metadata file. All transformations, normalizations, and comparisons are performed on an in-memory copy. The original file is returned to the client unchanged, regardless of the validation outcome. This guarantees that the validation process itself can never be the source of data corruption.

Checksum Verification

Every metadata field is checksummed on ingestion. After validation, the checksums are recomputed and compared against the original. If any checksum mismatches — indicating data corruption during processing — the validation is immediately aborted, the result is discarded, and the client is notified that the run failed due to an integrity error.

Certificate Binding

Compliance certificates are cryptographically bound to the specific metadata payload they certify using a SHA-256 hash. If metadata is modified after certification — even by a single character — the certificate's hash will no longer match, immediately flagging the record as uncertified and requiring re-validation before delivery.

Access Restrictions

Direct database access to metadata tables is prohibited for all staff, including engineers and administrators. All data access flows through the application layer, which enforces audit logging and access controls. Production data is never copied to development or testing environments — synthetic data is used for all non-production testing.

Anomaly Detection

Automated anomaly detection monitors for unusual patterns: unexpected field changes, bulk modifications, or access from unfamiliar locations. Anomalies trigger immediate alerts to the security team and can automatically suspend processing until reviewed. All anomalies are logged with full context for forensic analysis.

Integrity Pipeline

Validation Chain

01

Ingestion

Payload received and SHA-256 hash computed. Original file stored in encrypted, immutable storage.

02

Checksum

Per-field checksums computed and recorded. Payload classified and routed to validation pipeline.

03

Validation

In-memory copy created for processing. Original file remains untouched in immutable storage.

04

Verification

Post-validation checksums recomputed and compared to originals. Any mismatch aborts the run.

05

Certification

If validation passes, certificate generated with cryptographic hash binding it to the original payload.

06

Audit

Full validation record — including all checksums, hashes, and results — logged to immutable audit trail.

Your data, unmodified.

Every metadata file that enters our engine comes out exactly as it went in. That's our guarantee.