Alternatives to HushHush Data Masking

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.

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 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.

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.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

Statice is a data anonymization tool that draws on the most recent data privacy research. It processes sensitive data to create anonymous synthetic datasets that retain all the statistical properties of the original data. Statice's solution was designed for enterprise environments that are flexible and secure. It incorporates features that guarantee privacy and utility of data while maintaining usability.

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

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.

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.

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.

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.

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.

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

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.

Discover the advantages of utilizing a Trusted Third Party (TTP) for the meticulous pseudonymization of personal data, enabling you to conduct data analysis while adhering to GDPR regulations. Our fundamental offering revolves around the pseudonymization of personal data, utilizing techniques that ensure irreversible pseudonyms and the enhancement of behavioral data. The pseudonymized dataset serves as the foundation for subsequent processing by our clients. Additionally, our filtering service allows for the proportional sharing of personal data, ensuring privacy is maintained throughout the process. We carefully filter information through a rigorously managed pseudonymized whitelist, guaranteeing that only data pertaining to individuals on this list is shared. Viacryp also provides expert privacy consultation focused on the safeguarding and security of personal data. In collaboration with our partners, we offer guidance on the necessary measures organizations should implement to meet GDPR compliance, addressing both technical solutions and organizational protocols. By prioritizing these compliance strategies, businesses can enhance their data protection practices effectively.

Tonic provides an automated solution for generating mock data that retains essential features of sensitive datasets, enabling developers, data scientists, and sales teams to operate efficiently while ensuring confidentiality. By simulating your production data, Tonic produces de-identified, realistic, and secure datasets suitable for testing environments. The data is crafted to reflect your actual production data, allowing you to convey the same narrative in your testing scenarios. With Tonic, you receive safe and practical data designed to emulate your real-world data at scale. This tool generates data that not only resembles your production data but also behaves like it, facilitating safe sharing among teams, organizations, and across borders. It includes features for identifying, obfuscating, and transforming personally identifiable information (PII) and protected health information (PHI). Tonic also ensures the proactive safeguarding of sensitive data through automatic scanning, real-time alerts, de-identification processes, and mathematical assurances of data privacy. Moreover, it offers advanced subsetting capabilities across various database types. In addition to this, Tonic streamlines collaboration, compliance, and data workflows, delivering a fully automated experience to enhance productivity. With such robust features, Tonic stands out as a comprehensive solution for data security and usability, making it indispensable for organizations dealing with sensitive information.

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.

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.

Privacy Analytics specializes in providing cutting-edge data anonymization solutions and software tailored for businesses in the consumer and healthcare sectors. Our services empower you to harness your sensitive data assets securely and ethically, fostering innovation that serves the greater good. With Privacy Analytics, you can effectively de-identify health data to meet the highest standards while maintaining its practical value. As regulatory requirements become increasingly stringent, the timelines for data requests are also shrinking, placing added pressure on organizations to maintain their reputations. The ongoing climate of data privacy is becoming more critical, with consumers and regulators alike holding companies accountable. This heightened scrutiny has amplified the stakes for pharmaceutical companies, necessitating safe disclosures of clinical data and related documents. As the demand for transparency escalates, the challenge of balancing it with the privacy of trial participants becomes even more pronounced, underscoring the need for innovative solutions that ensure both accountability and confidentiality in data handling. Consequently, organizations must adapt swiftly to these evolving expectations to thrive in this challenging environment.

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.

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.

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.

With the rapid advancement of face recognition technology, the storage of image and video files that contain sensitive data presents considerable risks. Gallio offers an innovative solution utilizing artificial intelligence to enhance privacy protection. Its algorithms effectively obscure faces, rendering them nearly unidentifiable while maintaining high image quality. Additionally, it efficiently anonymizes license plates, ensuring they remain unreadable, regardless of the patterns used worldwide. This means you can now securely store and share your images and videos without the fear of being held liable for privacy violations. The user-friendly editor also enables you to selectively remove blurs from specific faces and license plates as needed. Consequently, you can confidently share videos and images as evidence and provide recordings to data subjects while safeguarding the privacy of all others involved. This technology not only enhances security but also promotes responsible data sharing practices.

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.

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.

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.

Streamlining privacy through automated secure redaction for document sharing is the cornerstone of Rectify's approach. By utilizing privacy-centric artificial intelligence, Rectify efficiently eliminates sensitive information during the data sharing process. This innovation significantly reduces the need for human intervention in identifying and expunging consumer identities, trade secrets, intellectual property, and other confidential data from datasets destined for third-party distribution. Our team has safeguarded tens of millions of pages, and the number continues to rise. With our advanced "privacy-enabled AI" for deidentification, organizations can move away from tedious manual redaction processes. The risks associated with disclosing sensitive information without a reliable redaction tool can be severe, making it imperative to choose an effective redaction service. Rectify offers a comprehensive solution tailored to your redaction requirements, ensuring your business's security and privacy are maintained at all times. By opting for Rectify's secure redaction, you can automate privacy protection and foster confidence in your data handling practices.

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.

NMTY Enterprise provides robust protection for all privacy-sensitive information within your organization, whether it resides in databases or individual files. By incorporating NMTY Enterprise into your IT framework, you can swiftly anonymize any data sources that require safeguarding. The platform allows for the anonymization of data irrespective of its storage method, be it within databases or in files like CSV and XML. Anonymization occurs directly at the source, which effectively prevents the unnecessary duplication of non-anonymized data. Furthermore, connections to your data sources are secured with integrated authentication and encryption during storage. Beyond datasets, NMTY Enterprise can also anonymize data found in documents and images directly. Our cutting-edge solutions are designed to seamlessly integrate with your existing workflows, ensuring that optimal results are consistently achieved. By choosing NMTY Enterprise, you not only enhance your data security but also streamline your data management processes.

DPM easyData serves as an advanced engine for data de-identification and spoofing, offering methods such as masking, tokenization, anonymization, pseudonymization, and encryption to safeguard sensitive information. Through its data spoofing techniques, the software effectively substitutes entire data sets or fragments with non-sensitive alternatives, generating fictitious data that serves as a robust protective measure. This solution is tailored for web and application server environments, enabling databases to anonymize and tokenize information while enforcing masking policies for users without proper authorization when accessing sensitive materials. DPM easyData stands out for its precise control, allowing administrators to specify which users are permitted to access certain protection measures and outlining the actions they can perform under these policies. Furthermore, its highly customizable framework accommodates a wide variety of data types, offering unparalleled flexibility in defining input and token formats to meet diverse security needs. This adaptability ensures that organizations can maintain stringent data protection standards while managing sensitive information effectively.

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.

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.

Differential privacy is a rigorously established framework for safeguarding data that allows for the analysis and machine learning applications without jeopardizing the privacy of individual records. LeapYear's system, which employs differential privacy, secures some of the most confidential datasets globally, encompassing social media interactions, health records, and financial activities. This innovative approach enables analysts, researchers, and data scientists to extract valuable insights from a wide array of data, including those from particularly sensitive areas, all while ensuring that individual, entity, and transaction details remain protected. Unlike conventional methods such as data aggregation, anonymization, or masking—which can diminish the usefulness of the data and present opportunities for exploitation—LeapYear's differential privacy implementation offers concrete mathematical guarantees that individual records cannot be reconstructed. By maintaining the integrity and usability of sensitive information, this system not only protects individuals' privacy but also enhances the potential for insightful reporting and analysis. Thus, organizations can confidently utilize their data, knowing that privacy is preserved at every level.

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.

xtendr reveals comprehensive, privacy-focused insights from various independent data sources while ensuring user protection throughout the entire data lifecycle. This innovative platform provides access to previously unreachable data and instills confidence in both privacy and adherence to regulations. Beyond mere anonymity, xtendr addresses the critical gap in multi-party data sharing by offering robust privacy safeguards, effectively serving as a guardian of your data through advanced cryptography, enabling you to unlock your full potential. It represents the pinnacle of privacy-enhancing data collaboration technology, having successfully tackled the long-standing cryptographic challenges associated with data sharing among parties that may not fully trust one another. With xtendr, organizations can advance their operations through an enterprise-level data protection solution that facilitates the formation of data partnerships while safeguarding sensitive information. In today's digital landscape, data is increasingly recognized as a vital currency, with many asserting that it is surpassing oil as the most valuable asset, underscoring its ever-growing significance. As we continue to embrace this digital evolution, the importance of secure data sharing becomes ever more critical for businesses looking to thrive in an interconnected world.

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.

IRI DarkShield uses several search techniques to find, and multiple data masking functions to de-identify, sensitive data in semi- and unstructured data sources enterprise-wide. You can use the search results to provide, remove, or fix PII simultaneously or separately to comply with GDPR data portability and erasure provisions. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it discovers in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF using pattern or dictionary matches, fuzzy search, named entity recognition, path filters, or image area bounding boxes. DarkShield search data can display in its own interactive dashboard, or in SIEM software analytic and visualization platforms like Datadog or Splunk ES. A Splunk Adaptive Response Framework or Phantom Playbook can also act on it. IRI DarkShield is a breakthrough in unstructured data hiding technology, speed, usability and affordability. DarkShield consolidates, multi-threads, the search, extraction and remediation of PII in multiple formats and folders on your network and in the cloud, on Windows, Linux, and macOS.

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.

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.

For a decade, Anonos dedicated its efforts to the lab, innovating and advancing the concept of Data Embassy to demonstrate that data can be selectively accessed, revealed, and utilized with unprecedented granularity and precision. By tackling the limitations of existing data privacy and security solutions, we empower organizations to leverage sensitive information in their data-driven strategies while ensuring compliance with regulations. The functionality of Data Embassy lies in its ability to convert original data into Variant Twins: these are non-identifiable yet completely accurate data assets designed for specific, authorized applications. With built-in, multi-tiered privacy and security measures that are inherently part of the data and enforced through technology, Variant Twins can be transported freely, including across international borders, thus offering a revolutionary approach to data management and protection. This groundbreaking methodology not only enhances data utility but also reassures stakeholders about the integrity and confidentiality of their sensitive information.

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 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.

Aircloak Insights acts as a secure intermediary between data analysts and the sensitive information they require for their work. Analysts can interact with the system using standard SQL queries or visual dashboards such as Tableau. The system intercepts these queries and customizes them for the underlying data sources, whether they are SQL databases or NoSQL big data repositories. The results are then delivered through the proxy, which guarantees that the data is both aggregated and completely anonymized. Moreover, Aircloak Insights seamlessly fits into your established workflow, enabling you to access sensitive datasets through its user-friendly web interface, Insights Air, or by utilizing business intelligence tools, including Tableau and any other platforms that support the Postgres Message Protocol. Additionally, for those who prefer automation, Aircloak Insights offers the capability to execute queries programmatically via a RESTful API, providing further flexibility in data handling. This comprehensive approach ensures that analysts can work efficiently while maintaining data privacy and security.

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.

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.

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.

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.

SecuPi presents a comprehensive data-centric security solution that includes advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and various de-identification techniques such as FPE encryption, physical and dynamic masking, and right to be forgotten (RTBF) deletion. This platform is designed to provide extensive protection across both commercial and custom applications, encompassing direct access tools, big data environments, and cloud infrastructures. With SecuPi, organizations can utilize a single data security framework to effortlessly monitor, control, encrypt, and categorize their data across all cloud and on-premises systems without requiring any modifications to existing code. The platform is agile and configurable, enabling it to adapt to both current and future regulatory and auditing demands. Additionally, its implementation is rapid and cost-effective, as it does not necessitate any alterations to source code. SecuPi's fine-grained data access controls ensure that sensitive information is safeguarded, granting users access solely to the data they are entitled to, while also integrating smoothly with Starburst/Trino to automate the enforcement of data access policies and enhance data protection efforts. This capability allows organizations to maintain compliance and security effortlessly as they navigate their data management challenges.