DataAI Security For Financial Services

DataAI Security is a unified approach to protecting sensitive financial data and the AI systems that use it. It combines data security, privacy, access governance and AI risk controls to prevent breaches and enable trusted AI adoption.

Financial institutions are adopting GenAI for fraud detection, credit scoring, customer service and analytics. But sensitive data and AI models are spread across cloud, SaaS and legacy systems, creating visibility and governance gaps that drive breach and compliance risk.

It ensures AI models only access approved, high-quality datasets, blocks sensitive data leakage in prompts and outputs, monitors AI pipelines for misuse, and enforces policies like masking, redaction and LLM firewalls where needed.

Legacy tools focus on infrastructure or events. DataAI Security is data-centric. It shows where sensitive data lives, who can access it, how it flows into AI and which risks matter most, then automates remediation.

It maps sensitive data and AI usage to regulations like PCI DSS, GLBA, SOX, GDPR and DORA. It also automates controls testing, evidence collection and audit reporting to reduce manual compliance effort.

Lower breach exposure and faster incident response, cleaner and more compliant AI training data, automated audits, reduced shadow data and higher trust in AI-driven services.