Harness real-world data for testing without compromising privacy and security
Creating realistic test data is essential for effective software testing and development. However, copying production data for this purpose can pose significant security and privacy risks. Protecto enables you to generate pseudonymized test data from your production data while ensuring privacy protection.
Generate test data that closely resembles real-world scenarios, providing a more accurate representation of your production environment. Ensure that your testing processes are effective, leading to improved tester experience.
By removing PII, eliminate the risk of exposing sensitive personal data during the software development and testing process. Maintain compliance with data protection regulations at all times.
Copying production data for testing purposes can inadvertently expose critical information to unauthorized individuals. Replace sensitive data with non-identifiable information to mitigates the risk of unauthorized access to sensitive information.
.png)
Access all AI LLM chat services through a single portal, eliminating the need to juggle multiple platforms.
.png)
Applies cutting-edge AI to monitor, and detect sensitive data
.png)
Mask PII / sensitive data while ensuring data integrity
Define what constitutes sensitive data for your business
Maintains logs that provide you with a detailed history of data events and potential breaches.
Securely hosted and managed by us, or hosted on your environment
Simple to integrate. Agentless. Doesn’t impact the performance of your systems
Built for large volume data. Can mask and unmask millions of rows in minutes
As the CTO of our organization, I'm keenly aware of the challenges involved in generating realistic test data while prioritizing privacy. It requires significant effort and consideration. Protecto's intelligent tokenization technology has simplified this process, allowing us to create test data that accurately represent real-world scenarios without compromising privacy or security.
CTO
A regional bank
Harness real-world data for testing without compromising privacy and security
Start TrialCreating realistic test data is essential for effective software testing and development. However, copying production data for this purpose can pose significant security and privacy risks. Protecto enables you to generate pseudonymized test data from your production data while ensuring privacy protection.
.png)
Our advanced data masking algorithms ensure that sensitive Protected Health Information (PHI) remains confidential and secure, adhering to the stringent requirements set by HIPAA.
.png)
Our advanced anonymization approach protects patient identities and ensures healthcare data privacy while preserving the utility of data for performing analysis.”
Our platform seamlessly integrates with your data sources including EHR, EMR, Practice Management Software, and more, and simplifies the data masking process.
Protecto empowers you to tailor masking rules according to your specific requirements, ensuring maximum healthcare data privacy, flexibility and control over the process.
.png)
Protecto empowers you to tailor masking rules according to your specific requirements, ensuring maximum healthcare data privacy, flexibility and control over the process.
.png)
Stay audit-ready with our comprehensive audit trails. Easily track and monitor data access and masking activities, providing transparent compliance reporting.
Our advanced data masking algorithms ensure that your sensitive information remains unreadable, making it impossible for cybercriminals to decipher, and thereby mitigating breach risks.
Our platform is built to meet rigorous security and privacy standards such as PCI DSS, GDPR, CCPA, and more. Rest assured; your data is in full compliance with industry regulations.
Easily integrate Protecto with your existing data infrastructure, making implementation swift and hassle-free. Our user-friendly interface allows your team to start masking data instantly, saving time and resources.
Get full control over who has access to what data, when, where, and how the data is used. Enforce fine-grained data access control of your data stores, ranging from individual columns to entire rows.
Protecto's robust data security capabilities enable secure utilization, sharing, and analysis of patient data without compromising healthcare data privacy.
.png)
Our advanced algorithms accurately identify PHI data, such as patient names, addresses, Social Security numbers, and medical record numbers no matter where they are located.
.png)
Retain the original data format and ensure that the structure and integrity of your data remains intact across your data stores. Tailor masking rules according to your specific requirements, ensuring maximum flexibility and control over the process.
.png)
Protecto maintains data relationships and dependencies with referential integrity, ensuring consistency in your masked data
.png)
Our advanced masking algorithms make it practically impossible to reverse engineer actual PHI and PII from the masked data. Even in the unlikely event of a breach, your PHI data will remain safe.
.png)
Get detailed audit logs and monitoring capabilities, offering full visibility into data access and masking activities for compliance and healthcare data security auditing.
.png)
Manage access to masked data efficiently with role-based access controls, limiting the access of PHI data only to authorized personnel. This ensures optimal healthcare data security.
Simplify financial services data privacy, security, and compliance, by using our APIs.
Protecto uses advanced algorithms to recognize various types of sensitive financial data, including credit card numbers, bank account details, social security numbers, and more, ensuring all potential risk areas are thoroughly analyzed.
Retain the original data format and ensure that the structure and integrity of your data remains intact across your data stores. Tailor masking rules according to your specific requirements, ensuring maximum flexibility and control over the process.
Our advanced masking algorithms make it practically impossible to reverse engineer actual sensitive data from the masked data. Even in the unlikely event of a breach, your data will remain safe.
Handle large volumes of data without compromising speed or accuracy. Scale effortlessly as your business grows, knowing that your data remains secure.
Get detailed audit logs and monitoring capabilities, offering full visibility into data access and masking activities for compliance and security auditing.
Our turnkey APIs are designed for seamless integration with your existing systems and infrastructure, enabling you to go live in days.
Our solution for optimum healthcare data privacy is quick to deploy, highly adaptable, and equipped to support your various use cases without compromising sensitive patient data.
.png)
Achieve compliance standards suitable for auditing, such as HIPAA. Adhere to the established standards for safe-gaurding personal healthcare data.
.png)
Accelerate advancements in treatment and care, such as compliant data access through data de-identification, and scalable data accessibility for advanced analytics.
.png)
Ensure the safe exchange of sensitive data with external parties such as clinicians, patient service providers, and other third-party entities.
Our solution is quick to deploy, highly adaptable, and equipped to support your various use cases without compromising financial services data privacy.
.png)
Securely share financial data within applications such as CRM, core banking software, KYC, financial analytics, and more.
.png)
Minimize exposure of sensitive policyholder data and financial information by enforcing access control, and scanning systems for privacy and breach risks.
Enforce governance and controls of financial data access to reduce breach risk, improve privacy posture and ensure privacy compliance.
Data privacy in healthcare refers to the protection and management of sensitive patient information, such as medical records, personal identifiers, and health-related data, to ensure it is kept confidential and secure.
Data privacy is crucial in healthcare to protect patients' sensitive information, prevent data breaches, maintain trust in healthcare providers, and comply with legal and ethical standards.
Healthcare data contains highly sensitive information such as patient medical records, personal identification, and billing details. Ensuring its security is vital to protect patient privacy, comply with regulations, and prevent identity theft and fraud.
In the United States, the Health Insurance Portability and Accountability Act (HIPAA) is the primary law regulating healthcare data privacy. Other countries have their own regulations, such as the General Data Protection Regulation (GDPR) in Europe.
PHI includes any individually identifiable health information transmitted or maintained by healthcare providers, health plans, or healthcare clearinghouses. This can include medical records, billing information, and even conversations between healthcare professionals.
Patients generally need to provide informed consent for their data to be used or shared, except in situations where data sharing is necessary for their treatment, payment, or healthcare operations.
Consequences can include financial penalties, damage to an organization's reputation, loss of patient trust, and legal action. Penalties vary depending on the severity of the breach and regulatory compliance.
Data privacy and protection are crucial in the financial services industry to prevent fraud, identity theft, and unauthorized access to sensitive financial information. It also helps build trust among customers and ensures compliance with legal and regulatory requirements.
Sensitive data in financial services includes personal information like names, addresses, Social Security numbers, financial account numbers, credit card information, transaction history, and any other data that can be used to identify or financially harm individuals or organizations.
Common regulations include the General Data Protection Regulation (GDPR), the Gramm-Leach-Bliley Act (GLBA),and the Payment Card Industry Data Security Standard (PCI DSS).
Data tokenization is a security technique that replaces sensitive data, such as credit card numbers or personal identifiers, with a unique token. This token can be used for transactions and processing without exposing the original sensitive data.
Data tokenization is crucial in financial services to protect sensitive information, comply with regulatory requirements, and reduce the risk of data breaches. It ensures that even if attackers gain access to tokenized data, they cannot decipher it.
Data tokenization enhances data privacy by reducing the exposure of sensitive information. Only authorized parties can access and use the data, minimizing the risk of unauthorized access.
When implemented correctly, data tokenization has minimal impact on system performance. Intelligent data tokenization solutions by Protecto are designed to be efficient and transparent to end-users.
Benefits include improved data security, compliance with regulations, reduced risk of data breaches, and enhanced customer trust.
