Alternatives to IRI Data Protector Suite

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.

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

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

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.

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.

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.

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.

Protect data at scale using a multicloud, hybrid, enterprise-class security solution for all types of data. Extend the data security across hybrid, multicloud and on-premises environments. Discover and classify unstructured, semi-structured & structured data. Prioritize data risks for incident context as well as additional data capabilities. Centralize data management via a single data service or dashboard. Protect data from exposure and avoid breaches. Simplify data-centric compliance, governance, and security. Unify the view to gain insight into at-risk data, users and data. Monitor Zero Trust and policy enforcement. Automated workflows and automation can save you time and money. Support for hundreds file shares and data repositories, including public, datacenter, and third-party cloud service. Cover your immediate needs and future integrations, as you transform or extend cloud use cases.

While protecting privacy, context, form, as well as integrity, must be retained. Data protection can be enhanced by de-sensitizing sensitive data and de-identifying it. Pseudonymize data for privacy compliance, analytics, and analytics. Obscured data preserves context and referential integrity, so that the masked data is usable in testing, analytics, and support environments. Informatica Persistent data masking is a high-performance, scalable data masking solution that protects confidential data such as credit card numbers and addresses. It creates realistic, de-identified data that can then be shared internally or externally. It can also be used to reduce the risk of data breaches occurring in nonproduction environments, create higher-quality test data, streamline development projects, and comply with data privacy regulations.

IRI CellShield®, protects sensitive information in Microsoft Excel®, allowing you to comply data privacy laws. You can protect your columns with reversible or non-reversible masking options. CellShield protects your data, no matter how many sheets they are. Multiple search methods are available to locate and report on PII across the LAN. Protect it all at once with CellShield. Intuitive graphical dialogs allow you to classify and mask it. CellShield's core technology uses the award-winning IRI FieldShield flat file and database data masking product. Data that is hidden in one platform can be seen in another. CellShield EE, the only fully-featured professional data discovery, masking and auditing package for Excel 2010, 2016, and 2019 (plus Office 365 workbooks) in your LAN, is available. CellShield EE goes beyond the security and scope a single password can provide by combining and automating all of these additional capabilities.

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.

Your IT organization can use flexible masking rules to limit sensitive data with flexible masking rules based upon the authentication level of a user. It ensures compliance by blocking, auditing and alerting users, IT personnel and outsourced teams that access sensitive information. Data masking solutions can be easily customized to meet different regulatory or business needs. Protect sensitive and personal information while supporting cloud-based, offshoring and outsourcing initiatives. Secure big data using dynamic masking of sensitive data in Hadoop.

Businesses today face severe punishment if they fail to meet the ever-increasing privacy standards of regulators and the general public. Vendors must keep up with the latest algorithms to protect sensitive data like PII or PHI. HushHush is at the forefront in privacy protection (Patents US9886593, US20150324607A1, US10339341) thanks to its PII data discovery tool workbench (also known data de-identification software, data masking software, and obfuscation program). It allows you to find sensitive data about your customers and classify it. You can also anonymize it and comply with GDPR and GLBA requirements. To create comprehensive and secure data anonymization solutions, you can use a variety of rule-based atomic addition anonymization components. HushHush components can be used to anonymize both direct identifiers (SSNs, credit cards names, addresses, telephone numbers, etc.). Both fixed and variable algorithms are available for indirect identifiers.

This suite of integrated encryption tools will help you protect your database and file data from misuse, and comply with government and industry regulations. IBM Guardium Data Encryption is an integrated suite of products based on a common architecture. These highly-scalable products provide encryption, tokenization and data masking capabilities, as well as key management, to help protect and manage access to databases, containers and files across the hybrid multicloud, securing assets in cloud, virtual, Big Data and on-premise environments. By encrypting database and file data using features such as data masking, tokenization and key rotation, organizations can ensure compliance with industry and government regulations, such as GDPR, CCPA and PCI DSS. Guardium Data Encryption features, such as data access audit logging and tokenization, data masking, and key management, help organizations meet regulations like HIPAA, CCPA, or GDPR.

BizDataX is a sophisticated data masking solution that offers high-quality test data derived from production environments. It facilitates adherence to GDPR and similar regulations by concealing customer identities while supplying data for developers and testers. Utilizing anonymized data in place of production data significantly mitigates associated risks. The platform emphasizes effective policy management, addresses business needs, oversees sensitive data governance, and complies with various regulations. It allows users to monitor an inventory of databases, data sources, and tables while pinpointing the locations of sensitive information. Furthermore, it supports the management of extensive customer databases and facilitates data exchanges with online retail partners and logistics firms. Given the stringent regulations surrounding medical record management, achieving compliance through data anonymization is essential for healthcare organizations. Additionally, BizDataX's capabilities make it an invaluable tool for businesses aiming to enhance their data security protocols while maintaining operational efficiency.

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.

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.

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

Adaptive is a sophisticated data security solution aimed at safeguarding sensitive information from being exposed to both human and automated entities. It boasts a secure control plane that allows for data protection and access, utilizing an agentless framework that eliminates the need for network reconfiguration and can be implemented in either cloud environments or on-premises settings. This platform empowers organizations to grant privileged access to data resources without the necessity of sharing actual credentials, thereby bolstering their security measures. Additionally, it offers just-in-time access to a variety of data sources such as databases, cloud infrastructure, data warehouses, and web services. Furthermore, Adaptive streamlines non-human data interactions by linking third-party tools or ETL pipelines through a centralized interface, ensuring that data source credentials remain confidential. To reduce the risk of data exposure, the platform incorporates data masking and tokenization for users without privileged access, all while maintaining existing access workflows. Moreover, it ensures thorough audibility through identity-based audit trails that encompass all resources, allowing organizations to monitor and track access effectively. In this way, Adaptive establishes a robust framework for data security and management in modern digital ecosystems.

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.

The Solix Enterprise Database Management Suite (Solix EDM) brings together all the tools necessary for an effective Information Lifecycle Management program (ILM). The platform provides industry-leading database archiving and test data management, as well as data masking and application retirement solutions. Solix EDMS was designed to reduce costs, improve application performance, availability, and meet compliance goals. It provides universal access to all archived information for business users via full-text search and structured SQL queries, forms, reports, and forms. Solix EDMS allows you to quickly identify historical data that is not frequently accessed from production applications and then'move' it into a secure archive with data integrity, access and preservation. Retention management stores archived data for a specified period of time and purges it automatically or manually if the data retention policy is met.

Secure data transfer to training and testing environments. The U.S. NCDSMO Baseline is available for SABI environments since 2009. It supports native support for DIS and HLA, TENA and RTP, and conforms to NSA Raise the Bar guidelines and NIST guidelines. The High Performance Computing Modernization Program Office, (HPCMPO), evaluated the connection to Defense Research & Engineering Network and Secure Defense Research & Engineering Network. SimShield allows fully automated, predictable and controlled two-way communication. It also allows for the sanitization and control of events across segmentsed, air-gapped security areas. Always have the latest features without additional cost, vs. Government-Off-The-Shelf (GOTS) solutions. Multiple national agencies and coalition forces can be trained simultaneously in one, real-world environment. Sharing of sanitized information is a faster way to detect and correct errors during Research, Development, Test & Evaluation.

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

Test and verify data management for IBM iSeries, IBM iSeries and AS/400. Complex IBM i applications need to be tested from top to bottom and into the data wherever it is. TestBench IBM I is a proven, comprehensive solution for test data management, verification, and unit testing that integrates with other solutions to ensure application quality. Stop copying all the data and focus on what you need. You can select or sample data that has been kept in full referential integrity. You can choose which fields should be protected and then use a variety obfuscation techniques to protect your data. Track every insert, update, and delete. You can create rules to ensure that data failures are automatically flagged. Avoid painful save/restores, and stop trying to explain bad test results that were based on poor data. Although it is a proven method of verifying your test results, comparing outputs can be tedious and prone to error. This unique solution can save you hours.

Secure sensitive data wherever it flows - on premises, in the cloud and in big data analytics platforms. Voltage encryption provides data privacy protection and neutralizes data breaches. It also drives business value through secure data usage. Data protection builds customer trust, and enables compliance with global regulations such as GDPR, CCPA and HIPAA. Privacy regulations recommend anonymization, pseudonymization and encryption to protect personal data. Voltage SecureData allows enterprises to de-identify structured data and supports the use of data within its protected state to safely drive business value. Secure data flows through your enterprise without gaps, encryption, or overhead. SecureData supports a wide range of platforms and encrypts data using any language. Structured Data Manager integrates SecureData to allow businesses to easily and continuously protect data all through its lifecycle, from discovery through encryption.

Complexity is the enemy of security. Simplify and scale fine-grained data access control. Dynamically authorize and audit every query to comply with data security and privacy regulations. Okera integrates seamlessly into your infrastructure – in the cloud, on premise, and with cloud-native and legacy tools. With Okera, data users can use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives.

iMask protects sensitive data at the Application Layer as well as the Database Layer. It offers flexible solutions that can be used for all types of use and all users, small, medium and large. Mask sensitive data at both the application and database levels to ensure your data's protection in production. You can set up rules in the product UI to allow role-based and user-based access controls that control who can access your sensitive information. You have the option to choose from more than 40 anonymization methods to maintain data consistency between production and nonproduction instances. You can set authorization rules to restrict who can see sensitive data based on geography, roles, departments, and other factors. Secure anonymization protocols can be enabled without affecting performance. Database embedded approach allows data to be deidentified without any changes in the application architecture or security protocols.

DPM easyData is a high performance data spoofing and de-identification engine. Data spoofing techniques include masking, tokenization. anonymization, pseudonymization, encryption, and anonymization. DPM data spoofing processes, which replace sensitive data or parts with non-sensitive counterparts (creates fake information), is a powerful tool for data protection. DPM easyData, a software data security solution, allows web and database server applications and databases tokenize and anonymize data. It also applies masking policies to unauthorized users when retrieving sensitive information. The software provides a high degree of granularity by allowing users to be granted access to specific protection policies and the operations they can perform with them. DPM easyData is highly customizable and can protect and tokenize many types of data. The software is flexible, so users can define any input data or token format they wish.

Subsalt is a platform that allows anonymous data to be used at enterprise scale. Subsalt’s Query Engine dynamically optimizes tradeoffs between data security and fidelity to source data. The queries return fully-synthetic results that preserve row-level granularity, data formats and data formats. Subsalt offers compliance guarantees backed by third-party audits which satisfy HIPAA’s Expert Determination Standard. Subsalt offers multiple deployment models that can be tailored to the privacy and security needs of each client. Subsalt is HIPAA and SOC2-Type 2-compliant. The system is designed to minimize any risk of data exposure or breach. Subsalt's Postgres compatible SQL interface integrates directly with existing data and ML software, making adoption a breeze.

Due to increasing security threats and expanding privacy regulations, it is imperative to limit the exposure of sensitive data. Oracle Data Masking and Subsetting allows database customers to improve security, speed compliance, and lower IT costs. It sanitizes production data for testing, development, and any other activities and easily eliminates unnecessary data. Oracle Data Masking and Subsetting allows for entire copies or subsets to be extracted from the database and obfuscated. This data can then be shared with business partners. Assuring continuity of applications, the integrity of the database is maintained. Application Data Modeling automatically detects columns in Oracle Database tables that contain sensitive information using built-in discovery patterns like national identifiers, credit cards numbers, or other personally identifiable information. It automatically detects parent-child relationships in the database.

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.

Safeguard, anonymize, mask, extract, redact, and distribute sensitive information while ensuring full data accuracy and adherence to international data privacy regulations. Experience considerable savings in both time and costs without sacrificing functionality by decoupling personally identifiable information (PII) from identified data. Integrate PII Vault to foster creative solutions, accelerate time to market, and offer the most secure PII solutions available. Unlock your data to facilitate more precise and targeted communications. Implement a straightforward process to anonymize all data prior to its arrival on your platform. Seamlessly merge diverse, anonymized data sets at the individual level without ever accessing PII post-anonymization through Poly-Anonymization™. Substitute PII with a compliant multi-value, non-identifying key for anonymous data matching, allowing for efficient data linkage across various organizations while maintaining privacy. Ultimately, this approach enhances your ability to leverage data responsibly while driving innovation.

You have the freedom to choose the anonymization method that best suits your needs - including tokenization, encryption, and masking techniques. This will ensure that sensitive data is protected in a delicate balance between security and performance. You can choose from over 60 different anonymization methods to protect sensitive data. Anonymization methods that provide consistent results across datastores and applications will help you maintain referential integrity. Anonymization methods that provide both performance and protection. You can choose to encrypt, tokenize or mask data depending on the use case. There are many ways to anonymize sensitive data. Each method provides adequate security and data usability. Protect sensitive data across data storage and applications, and maintain referential integrity. You can choose from a range of NIST-approved encryption or tokenization algorithms.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

Data privacy and security should not be a hindrance to your analytics-driven innovation efforts. Dataguise offers flexible encryption and masking options to protect sensitive data. This will ensure that your business is protected. Fast-track delivery of data sets can be achieved for analysis in real time, allowing for better insights and better decisions. Customers of Dataguise have many and changing needs. We know that our customers need more than just the solutions and services we offer. This is why we have built a strong network with carefully selected partners. This executive guide will show you how to maximize data value while protecting data privacy. Dataguise is more reliable than other data discovery tools, has a longer history, supports a wider range of data types, repositories, delivers lower false positive results, and scans data at a larger scale more reliably. Dataguise gives businesses the confidence to act in the best interest of their data.

Atlas serves as a robust and adaptable suite of essential governance services, empowering organizations to efficiently fulfill their compliance obligations within Hadoop while seamlessly integrating with the broader enterprise data landscape. Apache Atlas offers organizations the ability to manage open metadata and governance, enabling them to create a comprehensive catalog of their data resources, categorize and oversee these assets, and foster collaboration among data scientists, analysts, and the data governance team. It includes pre-defined types for a variety of metadata associated with both Hadoop and non-Hadoop environments, and it offers the capability to create custom types for managing metadata. These types can encompass primitive attributes, intricate attributes, and object references, with the potential to inherit characteristics from other types. Entities, which are instances of these types, encapsulate specific metadata object details along with their interconnections. Additionally, the availability of REST APIs facilitates smoother integration with types and instances, enhancing the overall functionality and connectivity within the data ecosystem. This comprehensive approach ensures that organizations can effectively manage their data governance needs while adapting to evolving requirements.

It is essential to de-identify sensitive information, including personally identifiable information (PII), through mechanisms like pseudonymization and anonymization for secondary purposes such as comparative effectiveness studies, policy evaluations, and research in life sciences. As organizations accumulate vast quantities of business data to identify trends, understand customer preferences, and foster innovation, this process becomes increasingly important. Compliance with regulations like HIPAA and GDPR mandates that data must be de-identified; however, many existing de-identification tools tend to concentrate on removing personal identifiers, which can hinder data usability. By transforming PII into forms that prevent identification while maintaining privacy, you can leverage data anonymization and pseudonymization techniques effectively. This enables comprehensive data analysis without infringing on privacy regulations. It is important to select appropriate methods and privacy models from the extensive fields of data de-identification and statistics to successfully de-identify data. Ultimately, striking a balance between data utility and privacy protection is vital for responsible data management.

Pathlock has transformed the market through a series strategic mergers and acquisitions. Pathlock is changing the way enterprises protect their customer and financial data. Pathlock's access orchestration software supports companies in their quest to Zero Trust by alerting them to violations and taking steps to prevent loss. Pathlock allows enterprises to manage all aspects related to access governance from one platform. This includes user provisioning and temporary elevation, ongoing User Access Review, internal control testing, continuous monitoring, audit preparation and reporting, as well as user testing and continuous controls monitoring. Pathlock monitors and synthesizes real user activity across all enterprise apps where sensitive activities or data are concentrated, unlike traditional security, risk, and audit systems. It identifies actual violations and not theoretical possibilities. All lines of defense work together to make informed decision with Pathlock as their hub.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

The world's most trusted Privileged Access Management platform allows you to create a flexible, centrally managed, and layered defense system against insider threats. The Single Connect™, Privileged Access Management Suite is known for being the fastest to deploy and most secure PAM solution. It delivers IT operational security to Enterprises and Telcos worldwide. Single Connect™, which enables IT managers to effectively secure access, control configurations, and indisputable record all activities in the network infrastructure or data center, in which any breach of privileged accounts access might have a material impact on business continuity, allows network admins and IT managers to do so. Single Connect™, which provides tools, capabilities and indisputable log records, and audit trails, helps organizations comply with regulations such as ISO 27001, ISO 31000, 2009, KVKK and SOX. It also assists in compliance with regulations such as HIPAA and GDPR in highly regulated sectors like finance, energy and telecommunications.

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.

Thales has revolutionized the landscape of data security with its CipherTrust Data Security Platform, which simplifies data protection, hastens compliance processes, and facilitates safe cloud transitions. This state-of-the-art platform employs a modern micro-services architecture that is optimized for cloud environments and incorporates essential features such as Data Discovery and Classification, seamlessly integrating the most effective functionalities from the Vormetric Data Security Platform along with KeySecure and its associated connector products. By merging data discovery, classification, safeguarding, and advanced access control with centralized key management, the CipherTrust Data Security Platform operates as a cohesive unit. Consequently, organizations experience a decrease in the resources needed for data security tasks, enhanced compliance measures, and a marked reduction in overall business risk. Acting as a comprehensive suite of data-centric security solutions, the CipherTrust Data Security Platform empowers businesses to effectively manage and control their data security needs from a single, unified interface, ensuring robust protection and compliance in a rapidly evolving digital landscape.

Cribl Stream allows you create an observability pipeline that helps you parse and restructure data in flight before you pay to analyze it. You can get the right data in the format you need, at the right place and in the format you want. Translate and format data into any tooling scheme you need to route data to the right tool for the job or all of the job tools. Different departments can choose different analytics environments without the need to deploy new forwarders or agents. Log and metric data can go unused up to 50%. This includes duplicate data, null fields, and fields with zero analytical value. Cribl Stream allows you to trim waste data streams and only analyze what you need. Cribl Stream is the best way for multiple data formats to be integrated into trusted tools that you use for IT and Security. Cribl Stream universal receiver can be used to collect data from any machine source - and to schedule batch collection from REST APIs (Kinesis Firehose), Raw HTTP and Microsoft Office 365 APIs.

TrueVault is the only data security company that is solely focused on protecting Personally Identifiable Information. TrueVault separates consumer identity and consumer behavior to eliminate compliance risks and liability. This allows companies to only access the data they need. Organizations are increasing their risk and liability as they collect and store more data in order to propel their businesses forward. Our software, designed by an attorney, will guide you step by step to CCPA compliance. TrueVault Polaris can help your business comply with CCPA regulations, no matter if it's an online store or SaaS. We'll refund your entire payment if we can't. No questions asked. TrueVault Polaris will guide you through every step, from getting compliant the first time to processing consumer inquiries. You can file your taxes online to bring your business into compliance.

Oracle Advanced Security can be used to encrypt application tablespaces and prevent out-of band access to sensitive data. Redaction policies help to prevent sensitive data from being spread and ensure compliance with data protection regulations. Transparent Data Encryption prevents potential attackers from bypassing the database to read sensitive information directly from storage. This is done by enforcing data at rest encryption in the database layer. To protect sensitive data, you can encrypt individual data columns, entire tablesspaces, backups, and database exports. Data Redaction is an extension of TDE. It reduces the risk of data being exposed in applications by redacting sensitive information before it leaves the database. Redaction can be partial or complete to prevent large-scale extraction of sensitive information into spreadsheets and reports. Encryption is implemented at database kernel level, eliminating any need to make changes to applications.

Make smarter, faster and more informed decisions Enterprise Document Intelligence Platform turns data into actionable insights. Our platform is a combination of cognitive Machine Learning and Natural Language Processing algorithms that automatically classify, extract and enrich relevant information from your documents. The solution is provided as a service to reduce ownership costs and speed up time to value. How it works CLASSIFY. Ingest structured, semistructured, and unstructured documents. Identify and classify documents using semantic understanding of language and visual cues. Extract. Extracts words, phrases, and sections from printed, handwritten, or tabular data. Detects the presence or absence of a page annotation or signature. You can easily review the extracted data and make corrections. AI uses human corrections for learning and improvement. Enrich. Enrich.

Data Security Center (DSC), a tool that identifies, masks, and protects sensitive data in both structured and unstructured datasets, allows you to do this effortlessly. DSC can identify high, medium and low risks in data collection and transmission, storage, exchange and usage, as well as deletion. It is possible to quickly identify the risks and take immediate steps to protect data security. DSC uses Natural Language Processing (NLP) and expert expertise to identify sensitive data sources. DSC offers one-stop protection for structured and unstructured data, from a wide variety of sources such as Object Storage Service databases and big data sources. DSC uses preset and user-defined masking algorithm to limit exposure to sensitive data and prevent unauthorized access. DSC offers sensitive data classification, protection, and discovery throughout all phases of data management.

Vormetric Data Security Platform makes managing data-at-rest security easy and efficient for your entire organization. The data security platform is extensible and can be used to deploy multiple data security products. It also features centralized key management, tokenization, encryption, and advanced encryption. This data security solution prepares you organization for the next security challenge or new compliance requirements at a low cost. Vormetric Data Security Platform, a single data security platform, is centrally managed to deliver comprehensive data security solutions.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

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