Data Governance - SaaS Security Score: Comprehensive Data Classification & Access Control

Master Your Data with Intelligent Governance

In today's data-driven world, organizations are drowning in information scattered across multiple SaaS applications. Without proper data governance, you risk compliance violations, security breaches, and operational inefficiencies. SaaS Security Score provides comprehensive data governance capabilities that help you classify, manage, and control your data across all SaaS applications.

The Four Pillars of Data Governance

Data Classification

Automatically identify and classify data based on sensitivity, regulatory requirements, and business value across all SaaS applications.

Data Retention

Implement automated retention policies that ensure data is kept only as long as necessary and disposed of securely when no longer needed.

Access Controls

Enforce granular access controls based on data classification, user roles, and business requirements across all SaaS applications.

Data Lifecycle

Manage the complete data lifecycle from creation to disposal, ensuring proper handling at every stage.

Automated Data Classification

Our platform automatically classifies data across all your SaaS applications using advanced machine learning algorithms and predefined rules:

Public

Information that can be freely shared with anyone, such as marketing materials and public announcements.

Internal

Information intended for internal use only, such as internal communications and operational procedures.

Confidential

Sensitive information that could harm the organization if disclosed, such as financial data and strategic plans.

Restricted

Highly sensitive information that requires special handling, such as PII, PHI, and trade secrets.

Comprehensive Data Governance Features

Automated Data Discovery

Continuously scan all SaaS applications to discover and inventory data assets, including structured and unstructured data.

Intelligent Classification

Use machine learning and pattern recognition to automatically classify data based on content, context, and metadata.

Retention Policy Management

Create and enforce automated retention policies based on data type, regulatory requirements, and business needs.

Access Control Automation

Automatically apply access controls based on data classification, user roles, and business requirements.

Data Lineage Tracking

Track the complete lineage of data from creation to disposal, including all transformations and movements.

Compliance Monitoring

Monitor compliance with data governance policies and generate automated reports for audits and assessments.

Data Lifecycle Management

Our platform manages the complete data lifecycle across all your SaaS applications:

Data Governance Workflow

1. Discovery

Automatically discover data across all SaaS applications

2. Classification

Intelligently classify data based on content and context

3. Policy Application

Apply appropriate retention and access policies

4. Monitoring

Continuously monitor compliance and usage patterns

5. Disposal

Securely dispose of data when retention periods expire

Advanced Access Controls

Implement granular access controls that adapt to your data governance policies:

Role-Based Access Control (RBAC)

Define access permissions based on user roles and responsibilities, ensuring users only have access to the data they need to perform their jobs.

Attribute-Based Access Control (ABAC)

Use dynamic attributes such as time, location, device, and data sensitivity to make real-time access decisions.

Just-In-Time Access

Grant temporary access to sensitive data only when needed, with automatic expiration and approval workflows.

Privileged Access Management

Monitor and control access to highly sensitive data and administrative functions with enhanced security measures.

Retention Policy Automation

Automate data retention policies to ensure compliance and reduce storage costs:

Regulatory Compliance: Automatically apply retention periods required by GDPR, HIPAA, SOX, and other regulations
Business Requirements: Implement retention policies based on business value and operational needs
Legal Holds: Suspend retention policies when data is subject to legal holds or investigations
Secure Disposal: Ensure data is securely and completely deleted when retention periods expire
Audit Trails: Maintain complete records of all retention policy actions and data disposal activities

Data Quality Management

Ensure data quality and consistency across all SaaS applications:

Data Validation: Validate data quality and consistency across all applications
Duplicate Detection: Identify and manage duplicate data across multiple SaaS applications
Data Standardization: Standardize data formats and values across all applications
Quality Monitoring: Continuously monitor data quality metrics and alert on issues
Data Remediation: Automatically fix common data quality issues or flag them for manual review

Comprehensive Data Governance for Your SaaS Applications