Randtronics DPM easyData Alternatives

Satori is a Data Security Platform (DSP) that enables self-service data and analytics. Unlike the traditional manual data access process, with Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. Satori’s DSP dynamically applies the appropriate security and access policies, and the users get secure data access in seconds instead of weeks. Satori’s comprehensive DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously discovers sensitive data across data stores and dynamically tracks data usage while applying relevant security policies. Satori enables data teams to scale effective data usage across the organization while meeting all data security and compliance requirements.

Titaniam provides enterprises and SaaS vendors with a full suite of data security/privacy controls in a single, enterprise grade solution. This includes highly advanced options such as encryption-in-use that enables encrypted search and analytics without decryption, 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. If 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 3+ categories of solutions making it the most effective, and economical solution in the market. Titaniam is featured by Gartner, IDC, and TAG Cyber and has won coveted industry awards e.g. SINET16 and at RSAC2022.

Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.

Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data

IRI FieldShield® is powerful and affordable data discovery and masking software for PII in structured and semi-structured sources, big and small. Use FieldShield utilities in Eclipse to profile, search and mask data at rest (static data masking), and the FieldShield SDK to mask (or unmask) data in motion (dynamic data masking). Classify PII centrally, find it globally, and mask it consistently. Preserve realism and referential integrity via encryption, pseudonymization, redaction, and other rules for production and test environments. Delete, deliver, or anonymize data subject to DPA, FERPA, GDPR, GLBA, HIPAA, PCI, POPI, SOX, etc. Verify compliance via human- and machine-readable search reports, job audit logs, and re-identification risk scores. Optionally mask data as you map it. Apply FieldShield functions in IRI Voracity ETL, federation, migration, replication, subsetting, or analytic jobs. Or, run FieldShield from Actifio, Commvault or Windocks to mask DB clones.

Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.

Forget about manual content classification and data entry. Doculayer.ai offers a configurable pipeline with document processing services like OCR, document type classification, topic classification, data extraction and data masking. Doculayer.ai puts business users in the driver's seat by making training/learning easy via an intuitive user interface for labeling of documents and data. With our hybrid data extraction approach machine learning models can be combined with rules, patterns and library scripts to obtain better results with less training data in less time. For the protection of sensitive data within documents, data masking can be anonymized or pseudonymized. Doculayer.ai adds document intelligence to your Content Services Platform, Business Process Management systems, and RPA solutions. Supercharge your existing IT environment for document processing with machine learning, natural language processing, and computer vision technologies.

De-identify sensitive data, including personally identifiable information (PII), through pseudonymization and anonymization for secondary use or analysis, such as comparative effectiveness studies, policy assessment, and life sciences research. This is critical as organizations gather and compile large amounts of business data to understand trends, gain insights into customer preferences, and develop new innovations. Regulations such as HIPAA and GDPR require that data be de-identified, but the challenge is that many de-identification tools focus on eliminating personal identifiers, but make it difficult to use the data. Transform PII into data that cannot be used to identify data while ensuring privacy using data anonymization and pseudonymization techniques. This allows you to effectively analyze large amounts of data without violating privacy regulations. De-identify data using selected methods and privacy models from broad areas of data de-identification and statistics.

Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms.

Data masking is a way to create a fake, but a realistic version of your organizational data. The goal is to protect sensitive data, while providing a functional alternative when real data is not needed—for example, in user training, sales demos, or software testing. Data masking processes change the values of the data while using the same format. The goal is to create a version that cannot be deciphered or reverse engineered. There are several ways to alter the data, including character shuffling, word or character substitution, and encryption. Data masking solves several critical threats – data loss, data exfiltration, insider threats or account compromise, and insecure interfaces with third party systems. Reduces data risks associated with cloud adoption. Makes data useless to an attacker, while maintaining many of its inherent functional properties. Allows sharing data with authorized users, such as testers and developers, without exposing production data.

Your IT organization can apply sophisticated masking to limit sensitive data access with flexible data masking rules based on a user’s authentication level. Blocking, auditing, and alerting your users, IT personnel, and outsourced teams who access sensitive information, it ensures compliance with your security policies and industry and civil privacy regulations. Easily customize data-masking solutions for different regulatory or business requirements. Protect personal and sensitive information while supporting offshoring, outsourcing, and cloud-based initiatives. Secure big data by dynamically masking sensitive data in Hadoop.

Secure sensitive data wherever it flows—on premises, in the cloud, and in big data analytic platforms. Voltage encryption delivers data privacy protection, neutralizes data breach, and drives business value through secure data use. Data protection builds customer trust and enables compliance to global regulations, including GDPR, CCPA, and HIPAA. Privacy regulations recommend encryption, pseudonymization, and anonymization to protect personal data. Voltage SecureData enables enterprises to de-identify sensitive structured data and support the use of data in its protect state to safely drive business value. Ensure that applications operate on secure data flowing through the enterprise with no gaps, no decryption, and no performance overhead. SecureData supports the broadest range of platforms and encrypts data in any language. Structured Data Manager integrates SecureData so that businesses can easily and continuously protect data throughout the lifecycle, from discovery to encryption.

Randronics DPM easyCipher providers Transparent Data Encryption (TDE) lock-box protection to files, folders, and databases. Protection is transparent as contents are automatically decrypted for authorized users. Like a lock-box, TDE-protected objects are either locked or unlocked. DPM easyCipher is a centrally managed, policy-based encryption management solution that allows an organization to standardize its encryption protection by defining and managing encryption policies and applying these policies to any server or laptop where a DPM easyCipher agent has been installed. DPM easyCipher protects all files and folders on servers or laptops. Server environments protected by DPM easyCipher include database servers, web/app servers, and file servers. DPM easyCipher can either extend or replace database-native TDE solutions provided by database vendors to secure their own DB products. Use easyCipher to protect information residing outside of the database.

BizDataX is a data masking that provides test data of production-level quality. It enables compliance with GDPR and other regulations by masking customers' identity while preparing data for testers and developers. By using masked/anonymized data instead of production data, the risk is significantly reduced. Focus on policy management, business requirements, sensitive data governance and other regulations. Track inventory of databases, data sources, tables and want to know where sensitive data is located. Manage large customer databases and exchange data with online partner shops and parcel delivery companies. Management of medical records is heavily regulated and regulatory compliance can be achieved with data anonymization.

Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.

Encrypt application tablespaces to prevent out-of-band access to sensitive data using Oracle Advanced Security. Redaction policies prevent the proliferation of sensitive data and aid in compliance with data protection regulations. Transparent Data Encryption (TDE) stops would-be attackers from bypassing the database and reading sensitive information directly from storage by enforcing data-at-rest encryption in the database layer. Encrypt individual data columns, entire tablespaces, database exports, and backups to control access to sensitive data. Data Redaction complements TDE by reducing the risk of unauthorized data exposure in applications, redacting sensitive data before it leaves the database. Partial or full redaction prevents large-scale extraction of sensitive data into reports and spreadsheets. Encryption is implemented at the database kernel level, eliminating the need for any changes to applications.

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools.

Mage™ Dynamic Data Masking module of the Mage data security platform has been designed with the end customer needs taken into consideration. Mage™ Dynamic Data Masking has been developed working alongside our customers, to address the specific needs and requirements they have. As a result, this product has evolved in a way to meet all the use cases that an enterprise could possibly have. Most other solutions in the market are either a part of an acquisition or are developed to meet only a specific use case. Mage™ Dynamic Data Masking has been designed to deliver adequate protection to sensitive data in production to application and database users while simultaneously integrating seamlessly with an organization's existing IT framework without the requirement of any additional architectural changes.​

IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections. 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 finds in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.

Protect your sensitive SAP data. Solve your SAP data security challenges and comply with data privacy legislation such as the EU's. General Data Protection Regulation (GDPR), South Africa's POPI Act and the California Consumer Privacy Act of 2018 (CCPA) with Data Secure™. Data security is critical in today's business environment. Data Secure™, part of EPI-USE Labs' Data Sync Manager™ (DSM) suite, solves your data security challenges. Data Secure is a comprehensive protection solution that comes with pre-defined masking rules. With these rules you can scramble any non-key field in any client-dependent SAP table in a number of different ways (such as mapping table look-up, constant value, clear a field). You can also extend these rules to cover your own particular security needs. Data Secure enables your company to meet all well-known data privacy and protection standards such as the General Data Protection Regulation (GDPR), Sarbanes Oxley and the BDSG (Bundesdatenschutzgesetz).

Okera, the Universal Data Authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and demonstrate regulatory compliance. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to 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. Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco.

The Solix Enterprise Data Management Suite (Solix EDMS) brings together all the tools for an effective Information Lifecycle Management (ILM) program. From a single web-based console, the platform offers industry-leading database archiving, test data management, data masking, and application retirement solutions. Solix EDMS is designed to control costs, boost application performance and availability, and meet compliance objectives. It offers universal access to all archived data for business users through full-text search, structured SQL queries, forms & reports. Solix EDMS helps you quickly identify infrequently accessed historic data from your production applications, and ‘move’ it to a secure archive with data integrity and access preserved. Retention management holds the archived data for a given period of time, and purges the data automatically, or manually when the data retention policy meets its criteria.

The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.

What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.

Protect your file and database data from misuse and help comply with industry and government regulations with this suite of integrated encryption products. IBM Security Guardium Data Encryption consists of an integrated suite of products built on a common infrastructure. These highly-scalable solutions provide encryption, tokenization, data masking and key management capabilities to help protect and control access to databases, files and containers across the hybrid multicloud—securing assets residing in cloud, virtual, big data and on-premise environments. Securely encrypting file and database data with such functionalities as tokenization, data masking and key rotation can help organizations address compliance with government and industry regulations, including GDPR, CCPA, PCI DSS and HIPAA. Guardium Data Encryption's capabilities—such as data access audit logging, tokenization, data masking and key management—help meet regulations such as HIPAA, CCPA or GDPR.

Safely store, anonymize, mask, mine, redact, and share sensitive data with 100% data accuracy and full international data privacy compliance. Reap significant time and cost savings, with no loss of functionality, when you separate PII from identified data. Embed PII Vault to create innovative solutions, reduce time to market, and deliver the most PII secure solutions anywhere. Unlock data to deliver more accurate and targeted messaging. Provide one, simple step to anonymize all data before it reaches your platform. Combine disparate, anonymous data sets at the individual level without ever receiving PII once that data has been anonymized with Poly- Anonymization™. Replace PII with a compliant multi-value, non-identifying key used in anonymous data matching to link data from multiple organizations.

Hours spent anonymizing data manually is time taken away from actual work. When data isn’t easily shareable, information gets trapped, creating silos within the organization and leading to poor knowledge management. The constant worry of whether shared data is compliant with ever-evolving regulations (GDPR, CCPA, HIPAA & more). Nymiz securely anonymizes personal data, through reversible or irreversible methods. The original data is replaced with asterisks, tokens or synthetic surrogates to improve privacy while maintaining the value of the information. By recognizing context-specific data like names, phone numbers, and social security numbers, we achieve superior results compared to tools that lack artificial intelligence capabilities. Additional security layer at the data level. Anonymized or pseudonymized information has no practical value if it is stolen through a security breach or exposed by human errors.

Experience the convenience of a Trusted Third Party ( TTP ) for the careful pseudonymization of personal data, so that you can perform data analysis within the framework of the GDPR. Our basic service consists of pseudonymizing personal data. For this, we apply the principles of irreversible pseudonyms and thickening of behavior. The pseudonymized data is the source of further processing by our clients. Our filter service offers the possibility to share personal data proportionally and therefore with respect for privacy. We filter the information based on an expertly pseudonymized whitelist and only forward the information of individuals who appear on the whitelist. Viacryp provides privacy advice regarding the protection and security of personal data. Together with our partners, we advise on the measures to be taken as an organization to comply with the frameworks of the GDPR. This concerns both technical measures and organizational and process measures.

The IRI Data Protector suite contains multiple data masking products which can be licensed standalone or in a discounted bundle to profile, classify, search, mask, and audit PII and other sensitive information in structured, semi-structured, and unstructured data sources. Apply their many masking functions consistently for referential integrity: ​IRI FieldShield® Structured Data Masking FieldShield classifies, finds, de-identifies, risk-scores, and audits PII in databases, flat files, JSON, etc. IRI DarkShield® Semi & Unstructured Data Masking DarkShield classifies, finds, and deletes PII in text, pdf, Parquet, C/BLOBs, MS documents, logs, NoSQL DBs, images, and faces. IRI CellShield® Excel® Data Masking CellShield finds, reports on, masks, and audits changes to PII in Excel columns and values LAN-wide or in the cloud. IRI Data Masking as a Service IRI DMaaS engineers in the US and abroad do the work of classifying, finding, masking, and risk-scoring PII for you.

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 Lawfulness and data transparency: ✓ Consent management; ✓ Data privacy policy management; ✓ Data processing purpose management; ✓ Work flow for handling data subject access requests; ✓ Data processing activities recording | Data mapping; Data security protection: ✓ Data Pseudonymization in services with database; ✓ Data Pseudonymization in pipelines; ✓ Data permission governing; ✓ Data access control work flow (Tech | Legal | Actual data usage); ✓ Data usage separation in micro-services; ✓ Data risk analysis; ✓ Data protection impact assessmen

Mage™ Static Data Masking (SDM) and Test data Management (TDM) capabilities fully integrate with Imperva’s Data Security Fabric (DSF) delivering complete protection for all sensitive or regulated data while simultaneously integrating seamlessly with an organization’s existing IT framework and existing application development, testing and data flows without the requirement for any additional architectural changes.

The growing security threats and ever-expanding privacy regulations have made it necessary to limit exposure of sensitive data. Oracle Data Masking and Subsetting helps database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by easily discarding unnecessary data. Oracle Data Masking and Subsetting enables entire copies or subsets of application data to be extracted from the database, obfuscated, and shared with partners inside and outside of the business. The integrity of the database is preserved assuring the continuity of the applications. Application Data Modeling automatically discovers columns from Oracle Database tables containing sensitive information based on built-in discovery patterns such as national identifiers, credit card numbers, and other personally identifiable information. It also automatically discovers parent-child relationships defined in the database.

Automating privacy with secure redaction for document distribution. Rectify leverages privacy-enabled artificial intelligence to automate the removal of private information when data sharing occurs. We help organizations decrease the human involvement required to identify and remove consumer identities, trade secrets, IP and other private data in data sets that are being sent to third parties. Our experts have protected tens of millions of pages, and counting. Automating data protection with "privacy-enabled AI" deidentification. Break free from manual redaction with Rectify's secure AI redaction. The consequences of sharing sensitive information without using a secure redaction tool can be daunting. Rectify provides a complete end-to-end solution for your redaction needs. Choosing the right redaction service is crucial to the security and privacy of your business. Automate privacy with Rectify's secure redaction.

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

Data may be the most important asset, and risk, that your company holds. It describes customers, products, transaction histories, and everything else that you use and plan in business. This data can be in databases, files, spreadsheets, Hadoop, cloud platforms or apps. If you don't have the time or expertise to find and de-identify the personally identifiable information (PII) in those sources yourself, IRI Data Masking as a Service (DMaaS) can help. With IRI DMaaS, you can minimize risk and cost because you only pay for the data you need protected. IRI can do all, or some, of the work to classify, find, and mask that data. IRI can also provide your auditors with the logs and targets that verify that your sensitive data was protected and now complies with privacy laws. To facilitate the service, you can transfer 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 under a strict NDA.

Don’t let data security or privacy hinder your analytics-driven innovation efforts. Dataguise can protect personal and sensitive data with flexible masking or encryption options to retain maximum business value. Data sets ready for analysis can be delivered in near real time for fresher insights and better decisions based on the complete picture. Dataguise customers have diverse and ever-changing needs. We recognize that by developing a strong network of carefully selected partners, we can deliver more comprehensive solutions, services, and expertise to our customers. Learn how to protect data privacy while maximizing data value in this executive guide. When compared to other data discovery solutions, Dataguise has been around longer, supports a broader range of data types and repositories, delivers lower false-positive results, and more reliably scans data at scale. Dataguise gives organizations the confidence to act on data in the best interests of the businesses,

Our platform allows businesses to use data—including its application in advanced analytics, machine learning, and AI—to do great things without worrying about putting customers, employees, or intellectual property at risk. The Protegrity Data Protection Platform doesn't just secure data—it simultaneously classifies and discovers data while protecting it. You can't protect what you don't know you have. Our platform first classifies data, allowing users to categorize the type of data that can mostly be in the public domain. With those classifications established, the platform then leverages machine learning algorithms to discover that type of data. Classification and discovery finds the data that needs to be protected. Whether encrypting, tokenizing, or applying privacy methods, the platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making.

The Vormetric Data Security Platform makes it easy and efficient to manage data-at-rest security across your entire organization. Built on an extensible infrastructure, the data security protection platform features multiple data security products that can be deployed individually or in combination to deliver advanced encryption, tokenization and centralized key management. This data security solution prepares your organization for the next security challenge and new compliance requirements at the lowest TCO. The Vormetric Data Security Platform is one data security platform, centrally managed for delivering comprehensive data security solutions.

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

Powerful Solutions to revolutionize how your organization shares data internally and externally. Designed with security, compliance and efficiency at its core, Wizuda MFT enables IT to manage the movement of critical data within your organization and with external parties, from one centralized solution. Wizuda MFT scales with your business and provides full end-to-end accountability of all file transfer operations. Provide people in your organization and clients with an easy, secure and compliant way to share sensitive data. With no file size limitations and encryption by default, using insecure alternatives such as USBs can be a thing of the past. Users have the added flexibility of sending emails with Wizuda either straight from their Outlook email or the secure web portal. Wizuda Virtual Data Rooms provide your business with a secure online repository for document storage, collaboration and distribution. Built with ‘privacy by design’, Wizuda VDRs can be set up in minutes.

Thales has pushed the innovation envelope with the CipherTrust Data Security Platform to remove complexity from data security, accelerate time to compliance, and secure cloud migrations. This next-generation platform is built on a modern micro-services architecture, is designed for the cloud, includes Data Discovery and Classification, and fuses together the best capabilities from the Vormetric Data Security Platform and KeySecure and connector products. CipherTrust Data Security Platform unifies data discovery, classification, data protection, and unprecedented granular access controls with centralized key management – all on a single platform. This results in less resources dedicated to data security operations, ubiquitous compliance controls, and significantly reduced risk across your business. The CipherTrust Data Security Platform is an integrated suite of data-centric security products and solutions that unify data discovery, protection and control in one platform.

InfoSum unlocks data’s limitless potential. Using patented, privacy-first technology, InfoSum connects customer records between and amongst companies, without ever sharing data. Customers across financial services, content distribution, connected television, eCommerce, gaming, and entertainment all trust InfoSum to seamlessly and compliantly connect their customer data to other partners through privacy-safe, permissioned, data networks. There are many applications for InfoSum’s technology, including standard ‘data-onboarding’ to much more sophisticated use cases that allow for the creation of owned identity platforms, the development of new data and advertising products, and the formation of entirely new marketplaces. InfoSum was founded in 2015. The company has multiple patents, protecting its invention of the ‘non-movement of data.’ InfoSum is based in the US, UK and CE, with offices, and customers across Europe and North America. The company is poised for exponential growth

At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™.

Testing and test data management for IBM i, IBM iSeries, AS/400. Complex IBM i applications must be checked from top to bottom, right into the data, wherever it is. TestBench IBM i is a comprehensive, proven test data management, verification and unit testing solution that integrates with other solutions for total application quality. Stop copying the entire live database and hone in on the data you really need. Select or sample data with full referential integrity preserved. Simply decide which fields need to be protected and use a variety of obfuscation methods to protect your data. Track every insert, update and delete including intervening data states. Create rules so that data failures are flagged to you automatically. Avoid the painful save/restores and stop attempting to explain bad test results based on poor initial data. Comparing outputs is a well proven method to verify your test results but it can be laborious and prone to error. This unique solution can save hours.

Everything we do centers on making data safe and easy for businesses to use. Our Safe Haven platform powers customer intelligence, engages customers at scale, and creates breakthrough opportunities for business growth. Our platform offers the modern enterprise full control of how data can be accessed and used with industry leading software solutions for identity, activation, and data collaboration. Build access to data, develop valuable business insights and drive revenue while maintaining full control over access and use of data at all times. Accurately address your specific audiences at scale across any channel, platform, publisher or network and safely translate data between identity spaces to improve results. Protect your customer data with leading privacy-preserving technologies and advanced techniques to minimize data movement while still enabling insight generation.

Cribl Stream allows you to implement an observability pipeline which helps you parse, restructure, and enrich data in flight - before you pay to analyze it. Get the right data, where you want, in the formats you need. Route data to the best tool for the job - or all the tools for the job - by translating and formatting data into any tooling schema you require. Let different departments choose different analytics environments without having to deploy new agents or forwarders. As much as 50% of log and metric data goes unused – null fields, duplicate data, and fields that offer zero analytical value. With Cribl Stream, you can trim wasted data streams and analyze only what you need. Cribl Stream is the best way to get multiple data formats into the tools you trust for your Security and IT efforts. Use the Cribl Stream universal receiver to collect from any machine data source - and even to schedule batch collection from REST APIs, Kinesis Firehose, Raw HTTP, and Microsoft Office 365 APIs

Take the load off of DevOps and eliminate privacy concerns by giving your teams full data autonomy and independence via an easy-to-use self-service portal. Simplify access, eliminate data roadblocks and speed up provisioning for dev, testing, data analysts and more. Accelario Continuous DataOps Platform is a one-stop-shop for handling all of your data needs. Eliminate DevOps bottlenecks and give your teams the high-quality, privacy-compliant data they need. The platform’s four distinct modules are available as stand-alone solutions or as a holistic, comprehensive DataOps management platform. Existing data provisioning solutions can’t keep up with agile demands for continuous, independent access to fresh, privacy-compliant data in autonomous environments. Teams can meet agile demands for fast, frequent deliveries with a comprehensive, one-stop-shop for self-provisioning privacy-compliant high-quality data in their very own environments.

Secure data transfer for training and testing environments. Included on the U.S. NCDSMO Baseline for SABI environments (since 2009) with native support for DIS, HLA, TENA, RTP and MPEG2-TS, and meets NSA Raise the Bar and NIST guidelines. Evaluated by the High Performance Computing Modernization Program Office (HPCMPO) for connection to Defense Research & Engineering Network (DREN) and Secure Defense Research & Engineering Network (SDREN). SimShield enables fully automated, predictable, controlled, and audited two-way communication and sanitization of events across segmented, air-gapped security domains. Always have the latest features without additional cost, vs. Government-Off-The-Shelf (GOTS) solutions. Train multiple national agencies or coalition forces at the same time in a single, real-world environment. Sanitized information sharing for faster detection and correction of issues and errors during Research, Development, Test & Evaluation (RDT&E).

Redaction software for security conscious organizations. Protect yourself and your organization from accidental disclosure. Know that you’ve redacted any confidential word, phrase or number. It’s an awful feeling when, after manually redacting a document, you can’t help but wonder if you’ve got every word. Yes, “find and replace” works, but only to a certain point. Hidden metadata may still be lurking in your document. Protect yourself and your organization from accidental disclosure. Objective Redact is powerful, automated redaction software that makes redaction much faster, internal review much easier, and keeps your most sensitive information safe. It is ideal for compliance and disclosure processes, redaction is easier and faster; and can handle large volumes of and long, complex documents. Permanently remove all text content marked for redaction, including hidden metadata such as authors, creation dates and other attributes that can be stored in a file.

Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration.