AI-powered Financial Data Security for Modern Enterprises

Protect your sensitive financial data and assets with proprietary AI and ML-powered identification and redaction. Strac DLP provides unparallelled sensitive data discovery, classification, and redaction for the fintech industry.

Trusted By Enterprises & ScaleUps

The Hidden Risks in Fintech Data Security

Scattered Sensitive Data: Financial and customer data lives across CRMs, cloud apps, support systems, and spreadsheets.

Regulatory Scrutiny: PCI DSS, SOX, GLBA, and GDPR demand airtight controls and audit readiness.

Legacy DLP Fatigue: Tools like Microsoft Purview flood teams with false positives and poor coverage.

Customer Trust is Fragile: One leak of card or identity data could trigger fines or a reputational hit.

Unsanctioned App Usage: Employees unknowingly share sensitive files via Slack, Gmail, or third-party tools.

How Strac Solves These Problems

Problem

Strac Solution

Scattered sensitive data

Unified discovery across SaaS, cloud, Gen AI, and endpoints

Regulatory pressure Real-time policy enforcement, logs, and compliance dashboards DLP fatigue and false positives

Machine learning + context-based classification to reduce noise

Risk to customer trust

Instant redaction/masking before data is exposed

Unsanctioned sharing via SaaS apps

Continuous monitoring, alerts, and automated $ remediation

List of fintech-relevant standards that Strac complies with

PCI DSS (Payment Card Industry Data Security Standard)

SOX (Sarbanes-Oxley Act)

FISMA (Federal Information Security Management Act)

GLBA (Gramm-Leach-Bliley Act)

GDPR (General Data Protection Regulation)

CCPA (California Consumer Privacy Act)

ISO/IEC 27001 (International Standard for Information
Security Management)

SOC 2 (Service Organization Control 2)

Features That Power Fintech Data Security

Built-in controls for PCI DSS, SOX, GLBA, and customizable rules.

Scans S3, Google Drive, Slack, Jira, Zendesk email, and more.

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Understand which employees or systems pose the highest risk.

Automatically removes cardholder data and PII before breach.

Compliance-Aware Policies

Sensitive Data Discovery Across Apps

Risk Insights by User and App

Real-Time Redaction, Masking, and Blocking

Benefits

Ongoing Data Discovery and Classification

Accurately identify and categorize cardholder data within your digital environments. Strac’s capabilities support stringent PCI DSS requirements for protecting stored data, ensuring seamless compliance.

Leverage Automation to Lower Ongoing Compliance Costs

Reduce the time your security team spends managing violations & alerts. With Strac's market-leading detection accuracy, automation, & user-friendly dashboard, you can simplify and streamline ongoing compliance efforts.

Minimize False Positives with Machine Learning (ML) Detection

Utilize high-accuracy ML detectors with a ready-to-use PCI template to identify the highest-risk data items, significantly reducing the time spent triaging security alerts.

Zero Impact on End Users

With Strac's agentless deployment, there is no blocking of network traffic or device latency, empowering and educating users while ensuring their productivity remains unaffected.

Testimonials

Transforming PCI-DSS Compliance

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