Canopy Software

Canopy Software, developed by Canopy Software, Inc., is a comprehensive data breach response and privacy audit software solution. It enables organizations to swiftly and accurately detect and assess personally identifiable information (PII) and protected health information (PHI) in the event of a data breach. Canopy Software caters to businesses of all sizes, from small enterprises to large corporations, and is widely used by various professionals and industries including digital forensics and incident response teams, review and legal service providers, law firms and legal counsel, cyber insurance companies, and breached entities.

Key Features

Cloud-Native Tech: Canopy Software is built on cloud-native technology, providing users with the flexibility to access and utilize the software from anywhere with an internet connection. Leveraging the cloud-based deployment on Amazon Web Services (AWS), Canopy Software ensures scalability and security for users.

AI-Powered Processing: Canopy Software harnesses the power of artificial intelligence (AI) and machine learning algorithms to deliver fast and accurate detection of PII and PHI. By utilizing advanced algorithms, Canopy Software eliminates the need for complex keyword or regex searches, enhancing the accuracy and efficiency of the detection process.

Data Breach Response: Canopy Software's Data Breach Response product simplifies the data mining process, PII review, and entity consolidation, enabling organizations to quickly identify and assess the impact of a breach. The software generates an automatic Impact Assessment Report, providing an overview of the data set, detailed information on the types and quantities of identified PII elements, and the corresponding documents.

Privacy Audit: Canopy Software's Privacy Audit product empowers organizations to enhance their data handling practices and mitigate risks before a breach occurs. It offers valuable insights into the sensitive information present in the data, enabling organizations to gain a precise understanding of their data content. The software assists in identifying PII and PHI elements, classifying file types, and suggesting entity consolidation.

Powered by AI and Machine Learning: Canopy Software leverages advanced technologies such as clustering algorithms, neural networks, and natural language processing (NLP) to optimize various processes, including PII/PHI detection, file type classifications, and entity suggestions and consolidation. The AI and machine learning capabilities enable the software to continuously learn and improve, ensuring increased accuracy and efficiency over time.

PII Detection: Canopy Software's machine learning algorithms are specifically trained to detect personally identifiable information (PII) elements in any data set. By leveraging a comprehensive database of jurisdiction-specific PII elements, Canopy Software eliminates the need for complex keyword or regex searches, ensuring accurate and up-to-date PII detection across various jurisdictions.

Entity Management: Canopy Software's Data Breach Response product offers advanced entity management functionality. It automates the process of identifying and merging identical individuals within an entity list, even when they are referred to differently throughout the data. This feature saves valuable time by eliminating the manual effort required to locate and match repeated references to the same person.

Notification List: Canopy Software's Data Breach Response product consolidates all relevant information, including affected individuals and their compromised PII, into a deduplicated list. The software provides flexible export options to meet specific notification requirements based on jurisdiction and industry. With the consolidated entity list readily available for export upon completion of the review, Canopy Software ensures efficient and accurate notification processes.