Alternatives to Viacryp

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.

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.

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.

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.

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.

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.

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.

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.

Trust-Hub is a groundbreaking hosted solution that empowers organizations to adapt to changes in the data protection and privacy environment. This distinctive framework delivers secure storage, processing, and management of personal data on a tailored basis, aligning with data protection and privacy laws, including GDPR. It allows organizations to create secure and universally accessible personal data sets in compliance with GDPR requirements. Each piece of customer and employee information is uniquely encrypted and pseudonymized to enhance security. Personal data is stored in one of the globe's most secure data storage facilities, ensuring high-level protection. The platform also facilitates the rapid retrieval of personal data whenever necessary, boosting productivity and efficiency across the organization. By enabling accredited individuals and teams to access and share data securely and easily, it streamlines operations. Additionally, it equips Data Protection Officers (DPOs) with essential tools for effective management. Furthermore, Trust-Hub allows organizations to leverage digital and commercial advancements by promoting the safe exchange of consent-driven customer data, thus maximizing business opportunities while maintaining compliance. This holistic approach not only safeguards personal information but also fosters trust and transparency with stakeholders.

Establish guidelines for various scenarios involving data processing and exchange to enable classification, masking, filtering, or pseudonymization of information. Ensure that privacy settings are managed effectively to respect consumer preferences and agreements concerning data processing and exchange. Incorporate detailed consent choices within the data flow to enhance user control. Utilize the ConsentGrid™ consumer-facing privacy dashboard for gathering user consent and preferences related to data processing and sharing activities. Facilitate the acceptance and secure handling of data subject requests (DSRs). Leverage a consent decision service to make informed contextual consent choices. Implement filtering, pseudonymization, and tracking of data as it traverses between systems in the context of machine learning and ETL pipelines. Enforce privacy filters on data shared with external parties, while discontinuing ad-hoc privacy measures. Maintain data within the network and conduct processing within your organizational infrastructure. The organization implements the ConsentGrid schema processor to enforce privacy controls, ensuring that personal data remains securely within the organization's network. This approach not only enhances data protection but also builds consumer trust in the organization's handling of their information.

You can forget about manual content classification or data entry. Doculayer.ai provides a configurable workflow that includes document processing services such as OCR, document type classification and topic classification, as well data extraction and masking. Doculayer.ai allows business users to take control of their learning and training by providing an intuitive user interface that makes labeling documents and data easy. Our hybrid data extraction approach allows machine learning models to be combined with patterns, rules, and library scripts to produce better results in less time. Data masking is an option to anonymize or pseudonymize sensitive data in documents. Doculayer.ai provides document intelligence to your Content Services Platform and Business Process Management systems. Your existing IT environment can be augmented for document processing by machine learning, natural language processing and computer vision technologies.

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.

To solve compliance and data problems, you can take complete control of your tracking. Conform to ePrivacy and GDPR & Schrems I. Secure data collection from the first party. Tracking preventions will ensure that you are not affected. JENTIS tag manager can tag all your tools. Secure your first-party data collection for a cookieless world. Pixel integration is possible. You can get the best data and track compliantly with consent and pseudonymization. Tracking preventions and ad-blockers do not affect consent. Collect 100% of your data. Problems with compliance, third-party cookies & client-side tracking We have the solution for all your problems. Tracking preventions and ad-blockers can ruin your data quality and impact your online marketing. Tracking preventions can already delete third-party cookies from most browsers. JENTIS can be installed in under an hour and integrated easily with all of your existing tools. Once you are done, we will automatically close your account.

Organizations must stay abreast of the constantly evolving privacy environment while safeguarding personally identifiable information they handle. PK Privacy equips these organizations with the ability to automate processes for data discovery and reporting, thereby alleviating some of the operational challenges associated with privacy regulations. This solution streamlines the DSAR response process, enabling compliance to be achieved more efficiently and within budget constraints. Additionally, it allows for the establishment of rules to automatically delete or redact sensitive information as soon as it is identified. The platform facilitates pseudonymization, anonymization, and de-identification of private personal data, ensuring enhanced protection. Furthermore, it identifies data that may legally require archiving or deletion based on its age or inactivity. Organizations can also detect and verify breaches through ongoing monitoring, while accurately assessing and reporting the resultant impact of such incidents. By providing continuous oversight of endpoints, servers, and enterprise solutions, PK Privacy ensures that organizations can effectively manage their privacy data and maintain compliance. Ultimately, embracing these automated solutions not only simplifies privacy management but also strengthens overall data security.

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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.

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.

Making mistakes and initially holding a contrary opinion is perfectly acceptable; it's a part of growth, and no one is likely to hold it against you, allowing you the liberty to be incorrect and then learn from it. Aether prioritizes privacy by default, granting users the option to maintain complete privacy or to be entirely open about their identities. While many individuals opt for pseudonyms, using your real name or company is also an available choice. The principle of accountability is upheld, as every action is observed and scrutinized. To foster healthy communities, effective moderation is vital, and Aether incorporates mechanisms for checks and balances. In this system, any changes made by a moderator can be undone for the user, and such actions are recorded as one vote toward potential impeachment. This approach ensures a fair and transparent environment where everyone can engage freely.

Amazon Marketing Cloud (AMC) serves as a secure and privacy-compliant clean room solution that empowers advertisers to conduct analyses and build audiences using pseudonymized data, which includes insights from Amazon Ads and other sources. By integrating diverse signals from various Amazon platforms, advertisers, and selected external partners, AMC allows for versatile inquiries within a secure privacy framework. This enables advertisers to leverage tailored insights and audience segments derived from AMC to refine their campaign strategies, enhance direct marketing efforts, and shape key business choices. Additionally, users can generate custom audience lists based on interaction logs, conversion events, and segmentation data. The audiences crafted within AMC can be seamlessly activated through Amazon DSP, providing a streamlined approach to targeting. Furthermore, AMC offers a comprehensive view of customer shopping journeys across Amazon’s media and channels, effectively measuring the advertising impact both within and beyond the Amazon ecosystem. Ultimately, this tool not only enhances advertising strategies but also fosters a deeper understanding of consumer behavior and preferences.

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.

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.

Sovryn is committed to maintaining high security standards through regular audits by multiple auditors and a robust bug bounty program. In addition, the platform plans to introduce more secure oracles to enhance decentralization further. To safeguard against the risks of undercollateralized loans, an insurance fund is maintained, to which 10% of interest generated is contributed. Upholding one of the core tenets of decentralized finance, Sovryn emphasizes interoperability and the creation of open-source code. Users can transact seamlessly using bitcoin directly from their wallets, eliminating any friction in the process. All transactions are processed on the bitcoin blockchain through the RSK bitcoin sidechain. As a decentralized margin trading platform, Sovryn does not require any KYC or AML verification, allowing users to retain their pseudonymity. This system empowers individuals to lend and trade without the need to entrust their keys to a centralized entity. With a focus on user autonomy, Sovryn ensures that your keys, coins, and control remain exclusively in your hands. Borrowers on the platform leverage their bitcoin to establish margin trading positions, effectively borrowing bitcoin from lenders to amplify their trading potential. Through this structure, Sovryn facilitates a dynamic and user-centric trading environment.

Uncover innovative solutions designed to revolutionize the way you protect your organization's data across various clouds, devices, and platforms. Navigate data vulnerabilities through effective pseudonymization and robust security measures. Unveil concealed threats with adaptable machine learning models that do not necessitate endpoint agents. Collaborate seamlessly with teams from security, human resources, and legal sectors through integrated investigative processes. Proactively recognize, examine, and swiftly respond to potential insider threats. Perform a thorough assessment of possible insider risks within your organization without needing to set up any insider risk policies beforehand. Instantly generate a policy using customizable machine learning frameworks that eliminate the need for scripting or endpoint deployment. Detect risks related to patient data misuse through built-in indicators and monitors that leverage information from electronic medical record systems. Gain clarity on the context of alerts to streamline your investigative efforts toward the most concerning activities, ensuring a comprehensive approach to data security. This proactive stance not only enhances your risk management strategies but also fortifies trust within your organization.

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.

The Astracore Biobanking System serves multiple functions, including the management of biological samples, research activities, and any scenario that necessitates a hierarchical, transaction-based approach to storage management and analysis. This biobank can act as any type of repository or bio-repository, facilitating the storage, tracking, and management of various samples, whether they need to be kept at low temperatures or at room temperature. The system accommodates different storage mediums, which can encompass both physical and virtual samples. Additionally, it allows for the storage of participant personal data in various formats, including fully identifiable, pseudonymous, or de-identified information. Access to the system can be limited to specific users through the implementation of security profiles, ensuring sensitive data remains protected. Featuring an intuitive, hierarchical, and normalized structure, the system supports multi-level storage management that can be easily configured through drag-and-drop functionality. A 2D visualization tool is also provided, enabling users to see detailed information about storage availability, highlighting both vacant and occupied slots. Ultimately, the storage utilized can be a combination of local, remote, physical, or virtual resources, offering flexibility to meet diverse biobanking needs. This adaptability ensures that the Astracore Biobanking System can effectively support a wide range of research and sample management requirements.

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.

Savana is a clinical intelligence platform that utilizes artificial intelligence to convert unstructured text from electronic medical records into valuable real-world evidence through sophisticated natural language processing techniques. Launched in 2014, Savana has facilitated the structuring and examination of billions of clinical documents in various languages and regions, revealing insights that were previously obscured within healthcare data. Its EHRead NLP models drive tools for anonymization and pseudonymization, effectively managing both structured and unstructured data on a large scale, having processed over 35 million documents to date. By providing hospitals, researchers, and health systems with actionable, research-grade evidence, Savana supports precision medicine initiatives, conducts epidemiological studies, including predictive analyses related to COVID-19, and enhances broader clinical data strategies, solidifying its position as one of Europe's leading contributors to Health Economics and Outcomes Research (HEOR). Additionally, Savana's innovative approach continues to reshape the landscape of data analysis in healthcare, promoting more informed decision-making that can ultimately improve patient outcomes.

Gravy Analytics analyzes enormous volumes of pseudonymous mobile location signals daily, sourced from millions of devices, to gain insights into people's movements and motivations. With billions of location signals generated each day, their extensive events database adds context to countless places and points of interest. The consumer visit data is entirely based on deterministic location information, ensuring accuracy and reliability. They provide verified and refined location datasets accessible through APIs or batch delivery methods. This results in actionable real-world consumer insights related to foot traffic, attribution, and competitive analysis. By creating location-based audience segments, they empower businesses to launch data-driven advertising initiatives effectively. Gravy Analytics aims to assist companies in tackling significant business challenges through high-quality location data. To achieve this, brands and advertisers require contextual understanding to decipher consumer behavior and motivations behind their movements. The selection of local events and activities we partake in not only provides this context but also sheds light on our lifestyles, interests, and personal affiliations, ultimately enriching the data landscape. This deeper understanding can significantly enhance targeted marketing efforts and improve overall engagement strategies.

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.

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.

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.

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.

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.

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 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 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.

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.

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.

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.