Financial Services

PCI-DSS scope starts with knowing where cardholder data lives.

VestraData scans every database, file store, and cloud bucket for PCI-scoped entities. Anonymise in-place to remove scope from staging and analytics environments without rebuilding pipelines.

Regulatory context

The frameworks your auditors will cite.

PCI-DSS 4.0

Cardholder data in AI prompts creates PCI scope. Scope reduction requires technical controls at every AI intercept point.

FCA AI Guidance

Firms must demonstrate AI governance, oversight, and explainability. Audit log and CISO dashboard support FCA review readiness.

GDPR

Data minimisation and appropriate technical measures for financial personal data processed through AI tools.

MiFID II

Record-keeping obligations extend to AI-assisted communications, analysis, and client interactions.

In practice

What Financial Services teams actually use it for.

01PCI scope discovery across databases, file stores, and cloud bucketsScan PostgreSQL, MySQL, Snowflake, S3, and SharePoint for cardholder data, IBANs, and account identifiers. Field-level findings with confidence scores and row counts. Know exactly where PCI scope exists before your QSA assessment — and remove it from non-production environments.

02Synthetic data generation for ML model training without PII riskGenerate statistically faithful training datasets for credit scoring, fraud detection, and risk models. Differential privacy mode for GDPR-compliant ML outputs. No real cardholder data in training pipelines.

03PCI-DSS scope reduction through in-place anonymisationAnonymise cardholder data in staging, analytics, and dev environments. Remove PCI scope from non-production systems without rebuilding pipelines. Every anonymisation action written to the tamper-evident audit record.

04LDAP and SAML enterprise auth integrationGroup-based policies: the trading desk gets different rules to the back-office team. Role-aware intercept. Fits inside existing access control frameworks without changes to IAM.

Platform capabilities

How VestraData maps to this environment.

PCI-scoped entity discovery

Scan every database, file store, and cloud bucket for cardholder data, account identifiers, and IBANs. Field-level findings with confidence scores and row counts.

In-place anonymisation for scope reduction

Anonymise cardholder data in staging, analytics, and dev environments. Remove PCI scope from non-production systems without rebuilding pipelines.

Differential privacy for ML training

GDPR and HIPAA compliant synthetic training datasets for credit scoring, fraud detection, and risk models. No real cardholder data in training pipelines.

Scheduled analytics refresh

Automated production-to-analytics pipeline. Quant and data teams always have a current, anonymised dataset without accessing production.

FK-preserving subset extraction

Referential integrity maintained across related tables. Realistic relational structure preserved in anonymised exports.

GDPR Art. 30 evidence

Records of processing activities automatically maintained from scan findings. Financial personal data documented, located, and governed.

Companion tool · VestraShield

Compliance teams have AI exposure they cannot see.

PCI-DSS scope doesn't disappear because the prompt looked harmless.

PCI hard-block policyCard numbers, IBANs, and SSNs hard-blocked by default. [CREDIT_CARD] placeholder means the LLM can still reason about transaction context without receiving the real number.
CISO dashboardReal-time visibility: prompts intercepted, entities transformed by type, hard blocks with reason and user context. Export for FCA governance review.
Enterprise LDAP / SAML authGroup-based policies aligned to existing IAM. Trading desk, compliance, and back-office teams get different intercept rules without a separate identity stack.
MiFID II record-keepingImmutable audit log for every AI interaction. Entity inventory per session. Hash-chained: tampering breaks the chain. Attributable to user and tool.