Canopy Software

Additional features

AI-Powered PII & PHI Detection

Utilizes sophisticated machine learning algorithms (clustering, neural networks, natural language processing) to automatically and accurately identify Personally Identifiable Information (PII) and Protected Health Information (PHI) within various data formats, eliminating the need for manual keyword or regex searches.

Fast & Accurate Data Mining

Accelerates the process of discovering sensitive data, allowing for quicker and more reliable assessments of data sets, including PSTs, fileshares, and servers.

Data Breach Response Software

A dedicated product designed to streamline the entire data breach response workflow, from initial data processing and PII review to entity consolidation and generating notification lists.

Privacy Audit Software

A proactive solution that helps organizations understand and mitigate risk by analyzing their data to identify where sensitive information resides, aiding in improving data handling practices and ensuring ongoing compliance.

Jurisdiction-Specific PII Database

Maintains an extensive and continuously updated database of PII elements that vary by legal jurisdiction, simplifying compliance with diverse data privacy regulations like GDPR, CCPA, HIPAA, and FERPA.

Holistic and Granular Data View

Offers the ability to quickly process entire datasets for high-level insights while also allowing users to delve into individual documents to examine PII in context.

Entity Consolidation

Automates the process of identifying and merging identical individuals within an entity list, even when they are referred to in different ways (e.g., nicknames, maiden names), reducing manual effort in creating accurate notification lists.

Impact Assessment Reports

Automatically generates reports that provide an overview of the dataset, detailing the types and quantities of identified PII elements and the documents they are found in, for both breach response and privacy audits.

Cloud-Native Deployment

The software is cloud-based and deployed on Amazon Web Services (AWS), ensuring scalability and security with support for various regions globally (US, Canada, Europe, Asia Pacific).

Continuous Learning and Improvement

The AI and machine learning models are designed to continually refine their processes, including PII/PHI detection and file type classifications, becoming smarter and more accurate with every project.

Risk Mitigation

Helps organizations proactively reduce data privacy risks by identifying sensitive data before a breach occurs and provides tools to react quickly and accurately in the event of an incident.

Flexible Export Options

For Data Breach Response, it allows exporting deduplicated lists of affected individuals and their compromised PII in various formats to meet specific notification requirements.

Document Sorting by PII Content

In Privacy Audit, documents are sorted by the amount of PII they contain, enabling users to prioritize review of the most sensitive files.

One-Click PII Type View

Allows users to view all documents containing a specific type of PII (e.g., social security numbers) with a single click.

Security Certifications and Practices

Maintains strong security measures, including ISO 27001 certification, SOC 2 Type II compliance (for associated services), 256-bit AES encryption for data at rest, TLS 1.3+ for data in transit, multi-factor authentication, third-party penetration testing, continuous monitoring, and robust incident management and disaster recovery procedures.

Automated Column Matching (for tabular data)

Facilitates the extraction of PII from spreadsheets and tables within documents by automatically matching column headers and classifying over 100 types of PII.

Proprietary Software

Canopy uses its own internally built system, ensuring no data is shared with third parties.

Secure Data Movement

Supports secure ingress and egress of data into and out of the application.