Alternatives to Viacryp

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Titaniam provides enterprises and SaaS vendors with a full suite of data security controls in one solution. This includes highly advanced options such as encrypted search and analytics, and also traditional controls such as tokenization, masking, various types of encryption, and anonymization. Titaniam also offers BYOK/HYOK (bring/hold your own key) for data owners to control the security of their data. When attacked, Titaniam minimizes regulatory overhead by providing evidence that sensitive data retained encryption. Titaniam’s interoperable modules can be combined to support hundreds of architectures across multiple clouds, on-prem, and hybrid environments. Titaniam provides the equivalent of at 3+ solutions making it the most effective, and economical solution in the market. Titaniam is featured by Gartner across multiple categories in four markets (Data Security, Data Privacy, Enterprise Key Management, and as a Cool Vendor for 2022). Titaniam is also a TAG Cyber Distinguished Vendor, and an Intellyx Digital Innovator for 2022. In 2022 Titaniam won the coveted SINET16 Security Innovator Award and was also a winner in four categories for the Global Infosec Awards at RSAC2022.

IRI Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Privacy1 infrastructure brings transparency, safeguards GDPR | CCPA compliance, builds trust for your business. The solution shields your data centric organizations, lower data leak risks, ensures that no personal data is processed except with the right permission. The service has built in rich features you need to meet data compliance requirements and enforce your organizational data security to the highest level

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

Maintain the essence, structure, and accuracy while ensuring confidentiality. Improve data security by anonymizing and altering sensitive information, as well as implementing pseudonymization strategies for adherence to privacy regulations and analytics purposes. The obscured data continues to hold its context and referential integrity, making it suitable for use in testing, analytics, or support scenarios. Serving as an exceptionally scalable and high-performing data masking solution, Informatica Persistent Data Masking protects sensitive information—like credit card details, addresses, and phone numbers—from accidental exposure by generating realistic, anonymized data that can be safely shared both internally and externally. Additionally, this solution minimizes the chances of data breaches in nonproduction settings, enhances the quality of test data, accelerates development processes, and guarantees compliance with various data-privacy laws and guidelines. Ultimately, adopting such robust data masking techniques not only protects sensitive information but also fosters trust and security within organizations.

Modern enterprises encounter severe repercussions if they fail to comply with the growing privacy standards set by regulators and the public alike. To stay competitive, vendors must continuously integrate advanced algorithms aimed at safeguarding sensitive information such as Personally Identifiable Information (PII) and Protected Health Information (PHI). HushHush leads the way in privacy defense through its innovative PII data discovery and anonymization tool, which is also referred to as data de-identification, data masking, and obfuscation software. This tool assists organizations in locating, classifying, and anonymizing sensitive data, ensuring compliance with regulations like GDPR, CCPA, HIPAA/HITECH, and GLBA. It offers a suite of rule-based atomic add-on components that empower users to build robust and secure data anonymization strategies. HushHush's solutions are pre-configured to effectively anonymize both direct identifiers, such as Social Security Numbers and credit card information, as well as indirect identifiers, utilizing a combination of fixed algorithms tailored for this purpose. With such versatile capabilities, HushHush not only enhances data security but also fortifies trust with clients regarding their privacy.

The hours dedicated to manually anonymizing data detract from essential work tasks. When data is not easily accessible, it becomes trapped, resulting in organizational silos and inefficient knowledge management. Furthermore, there is an ongoing concern about whether the shared data complies with constantly changing regulations such as GDPR, CCPA, and HIPAA. Nymiz addresses these challenges by securely anonymizing personal data using both reversible and irreversible techniques. Original data is substituted with asterisks, tokens, or synthetic surrogates, enhancing privacy while preserving the information's utility. By effectively identifying context-specific data such as names, phone numbers, and social security numbers, our solution delivers superior outcomes compared to conventional tools that lack artificial intelligence features. Additionally, we incorporate an extra security layer at the data level to safeguard against breaches. Ultimately, anonymized or pseudonymized data loses its value if it can be compromised through security vulnerabilities or human mistakes, underscoring the importance of robust protection measures.

Protecting your personal information is crucial, and it’s essential to create data that appears genuine for software development purposes. To achieve this, DOT Anonymizer provides a solution that effectively masks your testing data while maintaining its consistency across various data sources and database management systems. The risk of data breaches arises significantly when using personal or identifiable information in non-production environments such as development, testing, training, and business intelligence. With the growing number of regulations worldwide, organizations are increasingly required to anonymize or pseudonymize sensitive information. This process allows you to keep the original format of the data while your teams can operate with believable yet fictional datasets. It is vital to manage all your data sources effectively to ensure their continued utility. You can easily invoke DOT Anonymizer functions directly from your applications, ensuring consistent anonymization across all database management systems and platforms. Additionally, it’s important to maintain relationships between tables to guarantee that the data remains realistic. The tool is capable of anonymizing a variety of database types and file formats, including CSV, XML, JSON, and more. As the demand for data protection grows, utilizing a solution like DOT Anonymizer becomes increasingly essential for maintaining the integrity and confidentiality of your data.

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

Enhance your privacy compliance and data security initiatives on Salesforce by utilizing an extensive range of products. Effective privacy programs hinge on meticulous data inventories and comprehensive risk evaluations. Unfortunately, many organizations fail to identify all data sources and are often bogged down by outdated manual processes and spreadsheets. Our Personal Data Inventory solution is specifically crafted to automate and optimize Data Protection Impact Assessments (DPIA) and enterprise data inventory procedures. This tool simplifies the task for organizations, ensuring they maintain an accurate data inventory alongside a thorough risk assessment. As the volume of privacy rights requests continues to rise, handling these requests manually can lead to inconsistencies, errors, and a greater chance of falling out of compliance. Our Privacy Rights Automation solution allows for self-service options and automates all activities related to privacy rights. By implementing this standardized and reliable solution, organizations can significantly reduce the risk of non-compliance while improving overall efficiency. Ultimately, investing in these tools not only promotes adherence to privacy regulations but also enhances customer trust and confidence.

To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.

Your IT department can implement advanced data masking techniques to restrict access to sensitive information, utilizing adaptable masking rules that correspond to the authentication levels of users. By incorporating mechanisms for blocking, auditing, and notifying users, IT staff, and external teams who interact with confidential data, the organization can maintain adherence to its security protocols as well as comply with relevant industry and legal privacy standards. Additionally, you can tailor data-masking strategies to meet varying regulatory or business needs, fostering a secure environment for personal and sensitive information. This approach not only safeguards data but also facilitates offshoring, outsourcing, and cloud-based projects. Furthermore, large datasets can be secured by applying dynamic masking to sensitive information within Hadoop environments, enhancing overall data protection. Such measures bolster the integrity of the organization's data security framework.

Protect sensitive information at every stage—whether on-site, in the cloud, or within extensive data analytic systems. Voltage encryption provides a robust solution for data privacy, mitigates the risks associated with data breaches, and enhances business value through the secure utilization of data. Implementing effective data protection fosters customer trust and ensures adherence to international regulations such as GDPR, CCPA, and HIPAA. Privacy laws advocate for methods like encryption, pseudonymization, and anonymization to safeguard personal information. Voltage SecureData empowers organizations to anonymize sensitive structured data while still allowing its use in a secure manner, facilitating business growth. It's essential to guarantee that applications function on secure data that moves seamlessly through the organization, without any vulnerabilities, decryption requirements, or negative impacts on performance. SecureData is compatible with a wide array of platforms and can encrypt data in various programming languages. Additionally, the Structured Data Manager incorporates SecureData, enabling companies to protect their data efficiently and continuously throughout its entire lifecycle, from initial discovery all the way to encryption. This comprehensive approach not only enhances security but also streamlines data management processes.

RansomDataProtect offers a cutting-edge solution for safeguarding your personal and sensitive information through blockchain technology. This platform enables the pseudonymization of data, aligning with CNIL's recommendations for GDPR compliance while actively combating the risks associated with ransomware attacks. By employing a unique blend of variable encryption algorithms and blockchain integration, your data remains secure and impervious to tampering. Additionally, the unmasked portions of your data are still accessible, allowing for collaborative work on documents among multiple users. RansomDataProtect seamlessly integrates with your existing files via an add-in compatible with Word, Excel, PowerPoint, Outlook, and Gmail. This tool not only facilitates compliance with data protection regulations but also mitigates security risks stemming from poor password management within your organization. Ultimately, RansomDataProtect represents a significant leap forward in data security and management, ensuring that your information remains both private and functional.

Ensure the safe storage, anonymization, masking, mining, redaction, and sharing of sensitive information while achieving complete accuracy and adhering to global data privacy regulations. By effectively separating personally identifiable information (PII) from identified data, you can enjoy substantial time and cost efficiencies without sacrificing functionality. Integrate PII Vault to foster groundbreaking solutions, accelerate your time to market, and provide unparalleled security for PII across all platforms. This approach enables you to harness data for creating more precise and targeted communications. Simplify the process with a straightforward method to anonymize all data prior to its entry into your system. Utilize Poly-Anonymization™ to merge various anonymous data sets at the individual level without ever accessing PII post-anonymization. Furthermore, substitute PII with a compliant, multi-valued, non-identifying key that facilitates anonymous data matching across different organizations, enhancing collaborative efforts while maintaining privacy. This comprehensive strategy not only protects individual identities but also empowers organizations to derive meaningful insights from their data securely.

BizDataX offers a data masking solution that delivers test data with the quality comparable to that of production environments. It ensures adherence to GDPR and various other regulations by concealing customer identities while supplying data for developers and testers. Utilizing masked or anonymized data rather than actual production data significantly mitigates associated risks. The focus is placed on managing policies, fulfilling business requirements, governing sensitive data, and adhering to diverse regulations. It also facilitates the monitoring of databases, data sources, and tables to identify the locations of sensitive information. Furthermore, it allows for the management of extensive customer databases and the seamless exchange of data with online partner retailers and delivery services. Given the stringent regulations surrounding medical records, compliance can be effectively maintained through the process of data anonymization, ensuring that patient information is protected. This capability not only safeguards sensitive data but also enhances the overall data management strategy for organizations.

Transform how your organization manages data sharing both internally and externally with robust solutions that prioritize security, compliance, and efficiency. Wizuda MFT empowers IT departments to oversee the flow of essential data seamlessly, catering to both internal stakeholders and outside partners through a single, centralized platform. This system is designed to grow alongside your organization, offering complete visibility into all file transfer activities. It ensures that employees and clients have a straightforward, secure, and compliant method for exchanging sensitive information. By eliminating file size restrictions and incorporating default encryption, the reliance on insecure methods like USB drives can be significantly reduced. Users can conveniently send files via email through Wizuda, either directly from their Outlook accounts or through a secure web portal, enhancing overall usability. Additionally, Wizuda Virtual Data Rooms deliver a safe online space for document storage, collaboration, and distribution, empowering businesses to manage their sensitive information effectively. With a focus on ‘privacy by design,’ these VDRs can be established within minutes, allowing organizations to quickly enhance their data management capabilities. Overall, embracing Wizuda solutions can significantly streamline your organization’s data sharing processes, making them more secure and efficient.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Effortlessly anonymize faces, license plates, bodies, and vehicles with our user-friendly solution that seamlessly integrates across all platforms. Address privacy concerns for a diverse array of commercial and industrial applications. Leading global companies place their confidence in our products and expertise as we tackle anonymization issues, allowing you to concentrate on your primary business objectives. Our dedicated team is committed to supporting you throughout your privacy enhancement process. With a strong emphasis on Data Protection, we implement robust measures to ensure compliance with GDPR and other relevant data protection regulations. You have the option to utilize our cloud service for all processing needs, or deploy our Docker container within your on-premise or private/public cloud environments. Our pricing structure is based on a fee per image or video hour, and we offer a demo account that allows you to test our services free of charge. In just seconds, you can blur faces, license plates, individuals, and vehicles in images using a straightforward REST call, making privacy protection both efficient and accessible. By choosing our solution, you not only safeguard sensitive information but also streamline your operations for better efficiency.

Assure Compliance Monitoring is a comprehensive suite of Assure Security functionalities designed to swiftly detect security and compliance challenges by generating alerts and reports based on IBM i system operations, database modifications, and insights into Db2 data. The suite comprises two features that can also be utilized independently. Assure Monitoring and Reporting effectively extracts valuable insights from IBM i journal data, providing alerts and reports regarding security breaches and compliance discrepancies. Monitoring capabilities for both systems and databases can be accessed separately or in conjunction, and you also have the option to channel data directly to your enterprise SIEM solution, enabling IBM i security oversight alongside other enterprise platforms. Additionally, Assure Db2 Data Monitor stands out as an innovative tool that oversees access to highly sensitive Db2 data and can even restrict visibility of certain records. Assure Security offers leading-edge IBM i security solutions that empower your organization to adhere to cybersecurity regulations effectively while ensuring robust protection of your data. This holistic approach to security not only safeguards sensitive information but also streamlines compliance processes across your organization.

The Intelligent Data Platform, driven by AI, stands out as the most extensive and adaptable solution in the industry. It enables organizations to unlock the full potential of their data while addressing intricate challenges effectively. This platform sets a new benchmark for data management within enterprises. With our superior products and a cohesive platform that brings them together, you can harness intelligent data to fuel your operations. Seamlessly connect to diverse data sources and expand your capabilities with assurance. Our robust global infrastructure handles more than 15 trillion cloud transactions monthly, ensuring reliability. Prepare your business for the future with a comprehensive platform that provides dependable data at scale for various data management applications. Our AI-driven architecture facilitates multiple integration methods, allowing you to progress and adapt at your own pace, while our solution is designed to be modular, based on microservices, and driven by APIs. Embrace the flexibility and innovation our platform offers, ensuring your organization stays ahead in a rapidly evolving data landscape.

KIProtect creates innovative software solutions designed to enable secure, legally compliant, and privacy-conscious handling of sensitive personal data. As concerns surrounding data security and protection continue to grow, these critical aspects are frequently overlooked due to the complexities and time demands of technical data safeguards. Our mission is to transform this landscape! Through our open-source offerings, we empower businesses to implement advanced anonymization and pseudonymization methods, ensuring optimal protection of their data throughout the processing stages. This approach not only enhances security but also fosters greater trust between companies and their customers.

Privacy engineering is a growing discipline that overlaps with various fields, including data engineering, information security, software development, and privacy law. The primary objective of this field is to ensure that personal data is managed and handled in a manner that complies with legal standards while also safeguarding the privacy of individuals to the greatest extent possible. While security engineering serves as both a foundational element of privacy engineering and a standalone area of expertise, its main focus is on ensuring the secure management and storage of sensitive data broadly. Organizations that handle sensitive or personal data, or both, must prioritize privacy and security engineering practices. This necessity becomes even more critical for those engaged in their own data engineering or data science activities, as the complexities of data management grow. Ultimately, integrating these principles is vital for building trust and maintaining compliance in today's data-driven landscape.

Randronics DPM easyCipher offers Transparent Data Encryption (TDE) that provides lock-box style protection for files, folders, and databases. This encryption is seamless, as it automatically decrypts the contents for users with proper authorization. Similar to a secure lock-box, TDE-protected items are in a state of either being locked or unlocked. DPM easyCipher operates as a centralized, policy-driven encryption management system, enabling organizations to unify their encryption strategies by establishing and overseeing encryption policies that can be applied to any server or laptop with a DPM easyCipher agent installed. This solution ensures that all files and folders on both servers and laptops are safeguarded. Environments that benefit from DPM easyCipher’s protection include database servers, web/application servers, and file servers. Additionally, DPM easyCipher can either supplement or substitute the TDE solutions offered by database vendors to enhance the security of their database products. Furthermore, easyCipher is capable of securing sensitive information that exists outside of traditional database environments.

New privacy regulations frequently clash with the foundational structures of enterprise systems that were not originally intended to safeguard sensitive information. Piiano leads the way in data privacy engineering tailored for the cloud, introducing the first-ever platform focused on personal data protection and management, which revolutionizes how businesses can construct architectures that prioritize privacy and implement effective privacy practices. By offering a ready-made, developer-friendly framework, Piiano significantly simplifies the process of adopting or enhancing enterprise privacy engineering, enabling developers to create architectures designed with privacy in mind. This engineering solution not only protects sensitive customer data but also proactively prevents data breaches and assists businesses in keeping pace with evolving privacy laws. The Vault serves as a specialized and secure database for aggregating sensitive data, which developers can integrate into their enterprise Virtual Private Cloud (VPC). This setup guarantees that the Vault and all its contents remain exclusively accessible to the enterprise, fortifying data security. Consequently, businesses can focus on innovation while ensuring compliance and protection of their users' information.

Safeguard the identities captured in your data by anonymizing faces and license plates, ensuring adherence to privacy regulations like GDPR, CCPA, and APPI. Utilize our provided examples to evaluate the effectiveness of anonymization by comparing images before and after the process. If you wish to try the tool with your own image, simply upload a JPEG or PNG file (up to 4MB) to observe how our model effectively removes all identifiable personal information. Our GDPR compliance solution boasts several essential features, maintaining regulatory standards without disrupting downstream operations, and can be customized to suit individual requirements. We provide optimal deployment options designed to enhance processing efficiency and minimize reliance on human oversight, ultimately saving both time and resources. Options for deployment are adaptable, with choices including cloud-based, on-premise, or API integration. Furthermore, the system proficiently blurs faces and license plates, even in complex visual scenarios and varying camera perspectives, ensuring comprehensive protection of personal privacy. This capability is vital in today’s data-driven world, where the importance of privacy compliance cannot be overstated.

Share your production data with machine learning, data science, and analytics teams securely while maintaining customer trust. Eliminate the hassle of using regexes and open-source models. Private AI skillfully anonymizes over 50 types of personally identifiable information (PII), payment card information (PCI), and protected health information (PHI) in compliance with GDPR, CPRA, and HIPAA across 49 languages with exceptional precision. Substitute PII, PCI, and PHI in your text with synthetic data to generate model training datasets that accurately resemble your original data while ensuring customer privacy remains intact. Safeguard your customer information by removing PII from more than 10 file formats, including PDF, DOCX, PNG, and audio files, to adhere to privacy laws. Utilizing cutting-edge transformer architectures, Private AI delivers outstanding accuracy without the need for third-party processing. Our solution has surpassed all other redaction services available in the industry. Request our evaluation toolkit, and put our technology to the test with your own data to see the difference for yourself. With Private AI, you can confidently navigate regulatory landscapes while still leveraging valuable insights from your data.

Safeguard your confidential SAP information by addressing security issues and adhering to data protection laws like the EU's General Data Protection Regulation (GDPR), South Africa's POPI Act, and California's Consumer Privacy Act of 2018 (CCPA) through the use of Data Secure™. In the current business landscape, ensuring data security has become paramount. Data Secure™, which is integrated within EPI-USE Labs' Data Sync Manager™ (DSM) suite, effectively tackles your data security concerns. This comprehensive solution features pre-set masking rules, allowing you to obfuscate any non-key field across various client-dependent SAP tables through diverse methods, including table look-up mappings, constant values, or even clearing a field entirely. Additionally, you can tailor these rules to suit your specific security requirements. By implementing Data Secure, your organization can comply with widely recognized data privacy standards and regulations, ensuring the protection of sensitive information in line with GDPR, Sarbanes Oxley, and the BDSG (Bundesdatenschutzgesetz). Ultimately, adopting such robust security measures not only enhances compliance but also fosters trust among your clients and stakeholders.

IRI Data Masking as a Service is a professional services engagement to secure PII. Step 1: IRI agrees under NDA terms to classify, analyze, and report on the sensitive, at-risk data in your sources. We will discuss an initial cost estimate then hone it with you during data discovery. Step 2: Transfer the unprotected data to a secure on-premise or cloud-based staging area or provide remote, supervised access to IRI to the data sources(s) at issue. We'll use the tools in the award-winning IRI Data Protector suite to mask that data according to your business rules, on an ad hoc or recurring basis. Step 3: Our experts can also move newly-masked data to incremental replicas in production or to lower non-production environments. From either, the data is now safe for analytic initiatives, development, testing, or training. Tell us if you need additional services, like re-ID risk scoring (expert determination) of the de-identified data. This approach provides the benefits of proven data masking solution technology and services without the need to learn and customize new software from scratch. If you do want to use the software in-house, you will have everything pre-configured for easier long-term self-use and modification.

The GDPR Compliance application designed for Zendesk facilitates the deletion, anonymization, and retrieval of customer data within Zendesk environments. It boasts an array of essential features, including the capability to efficiently process thousands of tickets and contacts simultaneously, as well as the ability to merge user, ticket, and organizational data into comprehensive lists. Users can generate specific ticket and contact lists for mass processing, ensuring compliance by allowing for the deletion of personal data belonging to users or organizations. Additionally, the app ensures the confidentiality of sensitive information while providing options to compile and download data in CSV format. Users have the flexibility to edit information either individually or in bulk, while sensitive details like credit card numbers and phone numbers can be completely anonymized. The application also offers automation setup and scheduling for various processes, allows users to review statistics, and features an intuitive interface for ease of use. Furthermore, agents can submit requests for data processing, with permissions granted to them for executing these tasks, and it includes configurable options for tag anonymization within tickets. Overall, this app streamlines GDPR compliance efforts for organizations utilizing Zendesk.

Databunker is a lightning-fast, open-source vault developed in Go for secure storage of sensitive personal records. Protect user records from SQL and GraphQL injections with a simple API. Streamline GDPR, HIPAA, ISO 27001, and SOC2 compliance. Databunker is a special secure storage system designed to protect: - Personally Identifiable Information (PII) - Protected Health Information (PHI) - Payment Card Industry (PCI) data - Know Your Customer (KYC) records Databunker introduces a new approach to customer data protection: - Secure Indexing: Utilizes hash-based indexing for all search indexes - No Clear Text Storage: Ensures all information is encrypted, enhancing overall security - Restricted Bulk Retrieval: Bulk retrieval is disabled by default, adding an extra layer of defense - API-Based Communication: Backend interacts with Databunker through API calls, similar to NoSQL solutions - Record Token: Databunker creates a secured version of your data object - an object UUID token that is safe to use in your database

Enhance your data management processes with privacy-focused software solutions. Trūata Calibrate allows organizations to utilize their data while positioning privacy as a competitive advantage. Our seamless, cloud-based platform enables companies to implement privacy-compliant data pipelines rapidly, empowering teams to handle data with both responsibility and assurance. With the aid of intelligent automation, Trūata Calibrate streamlines swift and effective risk assessment and mitigation through a unified dashboard. This platform offers a sophisticated, standardized approach to managing privacy risks, ensuring data can be transformed safely for use across your entire business network. Users can access real-time recommendations for data transformation and evaluate the impact of privacy-utility simulations before executing targeted de-identification to reduce risks. By transforming data, organizations can create privacy-enhanced datasets that are safely shared, transferred, and responsibly utilized by their teams, ultimately fostering a culture of privacy-centric data governance. Additionally, this robust tool not only enhances compliance but also promotes innovation by allowing businesses to leverage data insights without compromising on privacy.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Safeguard your file and database information from potential abuse while ensuring compliance with both industry standards and governmental regulations by utilizing this comprehensive suite of integrated encryption solutions. IBM Guardium Data Encryption offers a cohesive set of products that share a unified infrastructure. These scalable solutions incorporate encryption, tokenization, data masking, and key management features, essential for protecting and regulating access to databases, files, and containers across hybrid multicloud environments, thereby securing assets located in cloud, virtual, big data, and on-premises settings. By effectively encrypting file and database data through functionalities like tokenization, data masking, and key rotation, organizations can successfully navigate compliance with various regulations, including GDPR, CCPA, PCI DSS, and HIPAA. Moreover, the extensive capabilities of Guardium Data Encryption—including data access audit logging and comprehensive key management—further assist organizations in meeting critical compliance requirements, ensuring that sensitive data remains protected at all times. Ultimately, implementing such robust encryption measures not only enhances security but also builds trust among stakeholders.

Enhance your data security and address privacy issues with the swift, cloud-native vaultless tokenization platform. Understanding that your organization not only meets but surpasses compliance standards provides you with the necessary tranquility to concentrate on what truly matters for your enterprise. Companies today are grappling with rising operational expenses, the looming threat of ransomware, and persistent compliance evaluations. Rixon empowers you with confidence and security, allowing you to showcase the value of your business to the world effectively. The Rixon privacy platform is designed to drive favorable business results by equipping organizations with essential tools to manage security, compliance, and privacy initiatives for both the organization and its supported applications. By utilizing our innovative patented tokenization technique, Rixon effectively eradicates the risk of sensitive data exposure within your applications. Sensitive data is safely captured and transformed into intelligent security tokens, creating a robust defense against unauthorized access to your information. This comprehensive approach not only protects your data but also strengthens your overall business resilience.

We have achieved remarkable advancements in the AI value chain through a variety of projects that encompass diverse data types, industries, and global regions. Our extensive and varied experiences allow us to tackle specific challenges and enhance solutions across multiple sectors effectively. We provide high-precision custom data sources tailored to your model's requirements from various locations, all while adhering to strict GDPR, SOC 2, and ISO compliance standards. Experience unparalleled data annotation and labeling with an impressive accuracy rate of around 95% across all types of data, which guarantees optimal model performance. In the initial stages of development, evaluate your model's performance to receive an impartial expert assessment concerning vital performance metrics including bias, duplication, and ground truth response. Additionally, enhance the accuracy of your model by utilizing the expertise of our dedicated validation team to confirm and refine your model's outputs for superior results. This comprehensive approach ensures that your AI solutions are not only effective but also responsible and reliable.

PieEye revolutionizes the intricate task of overseeing user consent and adhering to privacy laws like GDPR and CPRA/CCPA. It offers the fastest, simplest, most efficient, and fully automated solution for ecommerce businesses of any size—whether large, medium, or small. There's no need to jump through hoops or endure weeks or months of tedious compliance tasks when our platform can have you operational in just minutes. With its user-friendly installation and automation features, PieEye empowers you to optimize your compliance initiatives, allowing you to concentrate on what truly matters: expanding your enterprise. Experience the ease of compliance firsthand. As data privacy regulations multiply, ensuring cookie compliance becomes increasingly crucial. Our state-of-the-art cookie banner guarantees that your website adheres to all necessary regulations, protecting both your customers' data rights and your business. Furthermore, our automated system simplifies the entire compliance journey, allowing you to manage requests seamlessly and maintain adherence to all applicable laws. With PieEye, safeguarding your business and customer trust has never been easier.

Data management software is predominantly utilized by enterprise business teams, necessitating a design that prioritizes user-friendliness, automation, and intelligence. Furthermore, it is essential for the software to comply with a variety of industry-specific regulations and data protection mandates. To ensure that business teams can make informed, data-driven strategic decisions, the data must maintain standards of adequacy, accuracy, consistency, high quality, and secure accessibility. The software promotes an integrated methodology for managing data privacy, ensuring data quality, overseeing test data management, facilitating data analytics, and supporting data modeling. Additionally, it effectively manages escalating data volumes through a service engine-based architecture, while also addressing specialized data processing needs beyond standard functionalities via a user-defined function framework and Python adapter. Moreover, it establishes a streamlined governance framework that focuses on data privacy and quality management, enhancing overall data integrity. As a result, organizations can confidently rely on this software to support their evolving data requirements.

DataVantage provides a wide range of data management solutions that focus on the protection and governance of sensitive information in both mainframe and distributed settings. Among its key products are DataVantage for IMS, Db2, and VSAM, which incorporate sophisticated features for data masking, editing, and extraction, ensuring the safeguarding of Personally Identifiable Information (PII) during non-production activities. Furthermore, DataVantage DME (Data Masking Express) enables economical, real-time data masking for Db2, IMS, and VSAM environments, facilitating compliance without hindering existing operations. For distributed infrastructures, DataVantage Global offers comprehensive data masking, obfuscation, and de-identification processes, promoting both compliance and operational effectiveness across various platforms. Moreover, DataVantage Adviser streamlines the management of COBOL files following mainframe rehosting or application modernization, thereby improving data accessibility and editing capabilities. This holistic approach to data management not only enhances security measures but also supports organizations in their quest for regulatory compliance and operational integrity.

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

Create a versatile and centrally coordinated layered defense system to protect against insider threats using the premier Privileged Access Management platform available. The Single Connect™ Privileged Access Management Suite stands out as the quickest to implement and the most secure PAM solution, enhancing both IT security and operational efficiency for enterprises and telecommunications companies worldwide. With Single Connect™, IT managers and network administrators can effectively safeguard access, manage configurations, and maintain comprehensive records of all activities within the data center or network infrastructure, recognizing that any compromise in privileged account access could significantly disrupt business operations. This platform offers an array of tools, capabilities, and reliable log records, along with audit trails, to assist organizations in meeting various regulatory requirements, such as ISO 27001, ISO 31000: 2009, KVKK, PCI DSS, EPDK, SOX, HIPAA, and GDPR, especially in highly regulated sectors like finance, energy, healthcare, and telecommunications. By implementing Single Connect™, businesses can not only enhance their security posture but also ensure compliance with critical industry regulations.

IBM InfoSphere® Optim™ Data Privacy offers a comprehensive suite of tools designed to effectively mask sensitive information in non-production settings like development, testing, quality assurance, or training. This singular solution employs various transformation methods to replace sensitive data with realistic, fully functional masked alternatives, ensuring the confidentiality of critical information. Techniques for masking include using substrings, arithmetic expressions, generating random or sequential numbers, manipulating dates, and concatenating data elements. The advanced masking capabilities maintain contextually appropriate formats that closely resemble the original data. Users can apply an array of masking techniques on demand to safeguard personally identifiable information and sensitive corporate data within applications, databases, and reports. By utilizing these data masking features, organizations can mitigate the risk of data misuse by obscuring, privatizing, and protecting personal information circulated in non-production environments, thereby enhancing data security and compliance. Ultimately, this solution empowers businesses to navigate privacy challenges while maintaining the integrity of their operational processes.

CipherTrust Tokenization significantly lessens the expenses and labor involved in adhering to security policies and regulatory requirements such as PCI DSS, while also providing an easy way to safeguard other sensitive information like personally identifiable information (PII). Although there are no universally accepted tokenization standards in the market, the majority of tokenization solutions can be categorized into two main architectures: vaultless and vaulted tokenization, both of which effectively secure and anonymize sensitive data assets. Tokenization software can be deployed in various environments, including data centers, big data setups, or cloud platforms. By utilizing tokenization, organizations can effectively eliminate cardholder data from PCI DSS scope with minimal investment and effort, leading to significant savings on compliance-related expenses. In today's modern IT frameworks, it is crucial to manage and protect PII securely. With CipherTrust tokenization, organizations can ensure the protection of PII without the complexities of encryption key management that typically burden software developers, thus streamlining data security processes. This innovative approach not only simplifies compliance but also enhances overall data governance strategies.

The Mage™ Dynamic Data Masking module, part of the Mage data security platform, has been thoughtfully crafted with a focus on the needs of end customers. Developed in collaboration with clients, Mage™ Dynamic Data Masking effectively addresses their unique requirements and challenges. Consequently, this solution has advanced to accommodate virtually every potential use case that enterprises might encounter. Unlike many competing products that often stem from acquisitions or cater to niche scenarios, Mage™ Dynamic Data Masking is designed to provide comprehensive protection for sensitive data accessed by application and database users in production environments. Additionally, it integrates effortlessly into an organization’s existing IT infrastructure, eliminating the need for any substantial architectural modifications, thus ensuring a smoother transition for businesses implementing this solution. This strategic approach reflects a commitment to enhancing data security while prioritizing user experience and operational efficiency.

TrueZero offers a vaultless data privacy API that substitutes sensitive personally identifiable information (PII) with tokens, enabling organizations to lessen the effects of data breaches, facilitate safer data sharing, and reduce compliance burdens. Our tokenization technology is utilized by top financial institutions. No matter where or how PII is utilized, TrueZero Tokenization effectively secures and replaces that information. This allows for more secure user authentication, information validation, and profile enhancement without disclosing sensitive data such as Social Security Numbers to partners, internal teams, or external services. By minimizing your environments that require compliance, TrueZero can significantly expedite your compliance timeline, potentially saving you millions in development or partnership expenses. With data breaches averaging $164 per compromised record, tokenizing PII is crucial for safeguarding your organization against penalties related to data loss and damage to your brand’s reputation. You can store tokens and perform analytics just as you would with unaltered data, ensuring both functionality and security. In today’s data-driven world, this approach not only enhances privacy but also fosters trust with clients and stakeholders alike.

As facial recognition technology advances, the collection of public video footage poses significant privacy threats. Brighter AI's Precision Blur stands out as the leading solution for accurate face redaction globally. Their innovative Deep Natural Anonymization leverages generative AI to generate synthetic face overlays that ensure individuals remain unrecognizable, all while maintaining the quality necessary for machine learning applications. The Selective Redaction interface empowers users to choose which personal information in videos to anonymize selectively. In specific scenarios, like those encountered in media and law enforcement, it may not be necessary to blur every face. Following automated detection processes, users have the option to individually select or deselect objects. Furthermore, the Analytics Endpoint delivers essential metadata linked to the original elements, including bounding box coordinates, facial landmarks, and attributes of individuals. With JSON outputs, users can access pertinent information while ensuring that images or videos remain compliant and anonymized, preserving privacy in an increasingly digital world. This combination of features not only enhances privacy but also supports various professional applications effectively.

The increasing risks to security and the rise of stringent privacy laws have necessitated a more cautious approach to handling sensitive information. Oracle Data Masking and Subsetting offers database users a solution to enhance security, streamline compliance efforts, and lower IT expenses by sanitizing production data copies for use in testing, development, and various other functions, while also allowing for the removal of superfluous data. This tool allows for the extraction, obfuscation, and sharing of both full copies and subsets of application data with partners, whether they are within or outside the organization. By doing so, it ensures the database's integrity remains intact, thus supporting the ongoing functionality of applications. Additionally, Application Data Modeling automatically identifies columns within Oracle Database tables that contain sensitive data through established discovery patterns, including national IDs, credit card details, and other forms of personally identifiable information. Furthermore, it can recognize and map parent-child relationships that are defined within the database structure, enhancing the overall data management process.

Don't allow concerns about data security or privacy to obstruct your innovation efforts driven by analytics. Dataguise offers robust protection for personal and sensitive information through adaptable masking and encryption solutions, ensuring you can maximize business value. With data sets prepared for analysis delivered in near real-time, you can gain fresher insights and make informed decisions based on a complete understanding of your data landscape. Recognizing the diverse and evolving needs of our customers, Dataguise has built a strong network of carefully selected partners to provide more comprehensive solutions, services, and expertise. This executive guide illustrates how to safeguard data privacy while enhancing data value. When looking at various data discovery solutions, it's clear that Dataguise has a longer history, accommodates a wider array of data types and repositories, achieves lower false-positive rates, and consistently scans data at scale more effectively. By choosing Dataguise, organizations can confidently harness their data to drive decisions that best serve their business objectives, ultimately fostering a culture of informed and strategic decision-making.