Data Classification with Pathlock

Automatically discover and classify sensitive data

In the vast expanse of enterprise applications, sensitive information lies scattered, vulnerable to unauthorized access and potential data security breaches. Pathlock automates confidential data classification and protection across all of your critical cloud and on-premise applications, reducing costs and compliance risks.

Pathlock's Approach to Confidential Data Classification

Pathlock employs a multi-faceted approach to discover, map and protect sensitive data, ensuring comprehensive coverage and accuracy:

Data Discovery:

Data Source Integration: Seamlessly connects with many systems and applications, including databases, cloud platforms, ERP systems, CRMs, and more.

Comprehensive Data Scanning: Thoroughly scans all integrated data sources, meticulously searching for patterns, keywords, and other indicators that reveal sensitive information.

Confidential Data Classification:

Pre-defined Rules and Policies: Leverages a library of pre-built rules and policies to automate the classification of common sensitive data types, such as personally identifiable information (PII), financial data, healthcare records, and intellectual property.

Customizable Rules: Empowers organizations to tailor classification criteria to align with specific industry regulations, internal policies, and unique data sensitivity requirements.

Contextual Data Analysis:

Data Relationships and Interactions: Examines data relationships and interactions within applications to uncover sensitive data that might not be readily identifiable through traditional patterns or keywords.

User Behaviour Insights: Analyzes user behaviour and access patterns to identify data frequently accessed or modified by sensitive user roles, potentially indicating its sensitive nature.

Transforming Discovery into Action: Pathlock's Benefits for Data Security

Pathlock's ability to identify and classify sensitive data unlocks a host of security benefits:

Enhanced Access Controls: Grants granular access permissions based on data sensitivity, ensuring only authorized users can access the most critical information.

Prioritized Data Protection: Focuses security efforts on the most sensitive data, optimizing resource allocation and maximizing protection.

Streamlined Compliance: Facilitates compliance with data privacy regulations like GDPR, CCPA, and HIPAA by enabling organizations to track and manage sensitive data effectively.

Reduced Risk of Data Breaches: Minimizes the risk of unauthorized access and data breaches by ensuring sensitive data is appropriately protected.

Improved Data Governance: Enhances data governance practices by providing a comprehensive understanding of sensitive data assets and their distribution across the organization.

A Path to Data Enlightenment

Pathlock's capacity to discover, classify and protect confidential data within and across diverse applications empowers organizations to take control of their data security. By accurately identifying and classifying sensitive information, Pathlock guides organizations towards a more secure and compliant data landscape, safeguarding sensitive assets and fostering responsible data stewardship.

FAQ Data Access Policies

What are data access policies and why are they important?

Data access policies define who has access to what data, why, and under what conditions. They're crucial for:

Protecting sensitive information: Limiting access to authorized users minimizes the risk of breaches and misuse.

Complying with regulations: Data privacy laws like GDPR and CCPA require robust access control.

Ensuring data integrity: Controlled access reduces accidental or unauthorized modifications to data.

What is FGAC (Fine-Grained Access Control) and how does it differ from traditional access control?

Traditional access control often grants access at the system or application level. FGAC takes it a step further, providing granular control down to individual data elements or fields within a record. For example, restricting access to passport numbers within employee files instead of blocking access to the entire file.

How does Pathlock help with data access policies and FGAC?

Pathlock goes beyond static policies to dynamically enforce and monitor access control:

Granular Control: Pathlock implements FGAC, enabling precise data access permissions based on user roles and data sensitivity.

Real-Time Monitoring: Pathlock tracks and analyzes all data access activity, detecting suspicious behaviour even from authorized users.

Automated Enforcement: Policies can be pre-configured to trigger automated responses to violations, like account suspension or security alerts.

Comprehensive Audit Trails: Pathlock provides detailed audit logs for demonstrating compliance and investigating incidents.

What are the benefits of using Pathlock for data access policies?

There are many benefits to using Pathlock, including:

Enhanced Data Security: Reduced risk of data breaches and unauthorized access by safeguarding sensitive information with granular control and real-time monitoring across ERP and business applications.

Simplified Compliance: Pathlock helps organizations comply with data privacy regulations by demonstrating robust access control and comprehensive audit trails.

Improved Efficiency: Streamlined access management processes and automated responses minimize friction and administrative workload.

Increased Transparency and Accountability: Detailed audit trails and violation alerts promote transparency and accountability within the organization.

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