Preserve Valuable Information while Meeting Data Retention Regulations
Data retention regulations often require the deletion of personal data after a specified period, such as 7 years in the case of GDPR. However, this can result in the loss of valuable information for companies. Protecto’s intelligent anonymization transforms personal data into anonymous forms that help companies meet data retention requirements without deleting the data.
Replace personally identifiable information (PII) with anonymized data, effectively eliminating information that ties to individuals and meeting compliance requirements
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Deleting data can lead to inconsistencies and challenges in data management. In contrast, Protecto’s anonymization offers an elegant solution to effectively meet deletion requirements without introducing complexities or risking data inconsistencies.
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
By implementing Protecto, we were able to seamlessly meet data deletion requirements while preserving valuable insights. The elegant approach of anonymization ensured compliance with GDPR regulations. Thanks to Protecto, we could confidently manage our data in Salesforce and maintain privacy without compromising on the richness of our information
Head of Commercial Applications
NOKIA
Preserve Valuable Information while Meeting Data Retention Regulations
Data retention regulations often require the deletion of personal data after a specified period, such as 7 years in the case of GDPR. However, this can result in the loss of valuable information for companies. Protecto’s intelligent anonymization transforms personal data into anonymous forms that help companies meet data retention requirements without deleting the data.
Replace personally identifiable information (PII) with anonymized data, effectively eliminating information that ties to individuals and meeting compliance requirements
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Deleting data can lead to inconsistencies and challenges in data management. In contrast, Protecto’s anonymization offers an elegant solution to effectively meet deletion requirements without introducing complexities or risking data inconsistencies.
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
Preserve Valuable Information while Meeting Data Retention Regulations
Request DemoData retention regulations often require the deletion of personal data after a specified period, such as 7 years in the case of GDPR. However, this can result in the loss of valuable information for companies. Protecto’s intelligent anonymization transforms personal data into anonymous forms that help companies meet data retention requirements without deleting the data.
Replace personally identifiable information (PII) with anonymized data, effectively eliminating information that ties to individuals and meeting compliance requirements
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Deleting data can lead to inconsistencies and challenges in data management. In contrast, Protecto’s anonymization offers an elegant solution to effectively meet deletion requirements without introducing complexities or risking data inconsistencies.
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Head of Commercial Applications
NOKIA
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
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 financial data security, compliance with regulations, reduced risk of data breaches, and enhanced customer trust.
Preserve Valuable Information while Meeting Data Retention Regulations
Request DemoData retention regulations often require the deletion of personal data after a specified period, such as 7 years in the case of GDPR. However, this can result in the loss of valuable information for companies. Protecto’s intelligent anonymization transforms personal data into anonymous forms that help companies meet data retention requirements without deleting the data.
Replace personally identifiable information (PII) with anonymized data, effectively eliminating information that ties to individuals and meeting compliance requirements
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Deleting data can lead to inconsistencies and challenges in data management. In contrast, Protecto’s anonymization offers an elegant solution to effectively meet deletion requirements without introducing complexities or risking data inconsistencies.
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Head of Commercial Applications
NOKIA
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
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.
Preserve Valuable Information while Meeting Data Retention Regulations
Request DemoData retention regulations often require the deletion of personal data after a specified period, such as 7 years in the case of GDPR. However, this can result in the loss of valuable information for companies. Protecto’s intelligent anonymization transforms personal data into anonymous forms that help companies meet data retention requirements without deleting the data.
Replace personally identifiable information (PII) with anonymized data, effectively eliminating information that ties to individuals and meeting compliance requirements
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Deleting data can lead to inconsistencies and challenges in data management. In contrast, Protecto’s anonymization offers an elegant solution to effectively meet deletion requirements without introducing complexities or risking data inconsistencies.
Protecto uses advanced algorithms to recognize various types of sensitive data, including credit card numbers, demographic details, social security numbers, and more, ensuring all potential risk areas are thoroughly analyzed.
.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)
Handle large volumes of data without compromising speed or accuracy. Scale effortlessly as your business grows, knowing that your data remains secure
.png)
Define what constitutes sensitive data for your business
.png)
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.
Our turnkey APIs are designed for seamless integration with your existing systems and infrastructure, enabling you to go live in days.
By anonymizing personal data, Protecto preserves the information's utility for analysis and decision-making, unlocking valuable insights without compromising compliance.
Head of Commercial Applications
NOKIA
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
Data privacy in the tech and software industry refers to the protection of sensitive and personal information collected, processed, or stored by technology companies and software applications. It involves safeguarding this data from unauthorized access, breaches, or misuse.
Data privacy is crucial because it builds trust with users and customers. It helps companies comply with legal regulations, avoid costly data breaches, and maintain their reputation. Additionally, it ensures that individuals' personal information is handled responsibly.
Data tokenization is a method of protecting sensitive data by replacing it with unique tokens or placeholders. These tokens are meaningless and cannot be reverse engineered to reveal the original data. Data tokenization enhances data privacy by reducing the risk associated with handling sensitive information.
In the tech and software industry, data tokenization involves substituting sensitive data (like credit card numbers or social security numbers) with tokens. These tokens are stored securely, while the original data is either not stored or kept in a highly protected environment. This ensures that even if a breach occurs, the sensitive data remains secure.
Data tokenization offers several advantages, including enhanced security, compliance with data protection regulations (such as GDPR or HIPAA), reduced risk of data breaches, and improved customer trust. It also simplifies the process of managing sensitive data
Sensitive data that is commonly tokenized includes credit card numbers, social security numbers, personal identification information (PII), and other confidential information.
Implementing data tokenization involves identifying sensitive data, selecting a tokenization solution, and integrating it into data processing systems. Companies should also establish data governance policies and regularly audit their tokenization practices to ensure compliance and security
Companies like payment processors, healthcare organizations, and e-commerce platforms often use data tokenization to protect sensitive customer information. Many financial institutions also employ tokenization to secure credit card transactions and personal data.Have the FAQs collapsed and have people expand to
