Alternatives to BALMAS AI

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.

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.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

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.

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

iDox.ai Suite is an AI-powered document protection platform built for organizations that need to redact, anonymize, compare, and manage sensitive information across large volumes of files. The software automatically detects personal, health, financial, business, and regulated data so teams can remove or obscure confidential content before documents are shared. iDox.ai Suite supports PDFs, scanned files, spreadsheets, and other document formats commonly used in compliance-heavy environments. It can identify and redact PII, PHI, financial details, signatures, logos, confidential business information, and other sensitive content. The platform is designed for legal teams, government agencies, healthcare organizations, life sciences companies, and enterprises that manage privacy-sensitive files. Its data anonymization capabilities help organizations prepare documents for analysis, collaboration, disclosure, regulatory submission, or AI system use without exposing protected information. Document comparison features help teams review changes and verify content differences more efficiently. Compliance reporting tools generate audit-ready documentation that supports internal governance, FOIA processes, legal review, and regulatory obligations. iDox.ai Suite helps organizations improve document security, speed up review cycles, and maintain stronger control over sensitive data.

Naix is an innovative tool powered by AI that specializes in the anonymization and redaction of documents, effectively eliminating personally identifiable information in a fast, precise, and secure manner. Utilizing advanced techniques such as machine learning, natural language processing, and linguistic modeling, it is capable of identifying a wide range of sensitive data, including company names, legal forms, personal names, locations, email addresses, URLs, dates, identification numbers, images, and financial figures. This versatile tool is compatible with various file formats, including PDFs, Word and Excel documents, emails, scanned files, and images, and offers support for multiple languages, specifically English, German, and French. Naix streamlines the majority of the anonymization process while also providing manual redaction options to address any exceptions that may arise. Additionally, users can implement predefined pseudonyms to maintain context when complete anonymization is not feasible. The user-friendly interface guides individuals seamlessly from the initial document upload through to the review of findings and the generation of a secure output file, ensuring an efficient workflow throughout the process. Overall, Naix represents a comprehensive solution for organizations seeking to protect sensitive information while maintaining operational integrity.

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

iDox.ai Guardrail serves as an immediate security measure for AI applications, designed to safeguard sensitive information from being exposed during generative AI tasks. This innovative solution functions at the endpoint, intercepting user prompts, uploaded files, and any AI interactions prior to data transmission from the device. Guardrail employs policy-driven mechanisms to identify and prevent the leakage of sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card information (PCI), intellectual property, and other confidential business data. In contrast to conventional data loss prevention (DLP) systems, Guardrail is tailored specifically for AI applications. It continuously observes user engagement with AI platforms like ChatGPT, Microsoft Copilot, and Claude, applying protective measures in real-time to ensure security. Among its key features are: - Continuous monitoring of prompts and file submissions - Detection of sensitive data with AI awareness - Real-time anonymization and sanitization processes - Defense against risks associated with AI agents, such as unauthorized file access incidents (e.g., OpenClaw) - Implementation of website whitelisting and strict policy enforcement. Additionally, Guardrail enhances user confidence in utilizing AI technologies while ensuring compliance with data privacy regulations.

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

REDACT is an easy-to-use, secure platform designed for automatic anonymization of personal and sensitive data in documents. Supporting 25 formats like PDF, Word, Excel, PPT, JPG, scans and XML, it ensures fast and precise redaction. Accessible online anytime, no installation needed, and backed by user support.

CamoText is a comprehensive text anonymization tool for Windows and Mac that operates entirely offline, ensuring that personally identifiable information (PII) and sensitive text are concealed on the device prior to being processed by lawyers using ChatGPT, Claude, or similar AI platforms. With its design prioritizing privacy, the application guarantees that no data is transmitted externally, and it features a human-in-the-loop review process to enhance accuracy and security. This makes it an essential solution for legal professionals who require confidentiality while leveraging AI technology.

Libelle DataMasking (LDM) is a powerful, enterprise-level solution designed for the automated anonymization of sensitive personal information, including names, addresses, dates, emails, IBANs, and credit card details, converting them into realistic substitutes that preserve logical consistency and referential integrity across both SAP and non-SAP environments such as Oracle, SQL Server, IBM DB2, MySQL, PostgreSQL, SAP HANA, flat files, and cloud databases. With the capability to handle up to 200,000 entries per second and facilitate parallel masking for extensive datasets, LDM employs a multithreaded architecture, ensuring efficient reading, anonymization, and writing of data with exceptional performance. The solution boasts over 40 predefined anonymization algorithms—including those for numbers, alphanumeric characters, date shifting, and various forms of masking for names, emails, IBANs, and credit cards—along with tailored templates specifically designed for SAP modules like CRM, ERP, FI/CO, HCM, SD, and SRM. Additionally, its scalability and flexibility make it suitable for organizations of all sizes looking to enhance their data security measures.

The Soflab G.A.L.L. application aims to anonymize sensitive information in non-production settings, facilitating the creation of high-quality synthetic data that mirrors real datasets, thus enabling effective testing processes. As it safeguards sensitive details, the application effectively mitigates the risk of data leaks. By substituting genuine data with artificial counterparts, it reduces the potential for data breaches while identifying sensitive or erroneous entries. This results in decreased legal and financial risks while ensuring the protection of customer transactional data. The application promotes a unified approach to anonymization across various non-production systems, thus maintaining a consistent data model and preserving connections with production data. Additionally, synthetic data generated from essential production attributes retains statistical integrity for business intelligence and artificial intelligence applications. A centralized test data repository allows for controlled data reuse, which not only lowers maintenance expenses and accelerates deployment timelines—up to five days—but also facilitates simulation and reusable scenarios effectively. Overall, the application enhances testing efficiency while prioritizing data security.

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

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

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.

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

Occlira effectively eliminates personal and sensitive information from legal documentation prior to sharing or utilizing external AI services, while also enabling the restoration of that information afterward. The software is capable of analyzing .docx and .pdf formats, identifying various elements such as names, addresses, email addresses, phone numbers, identification and tax numbers, IBANs, case identifiers, and corporate names through a localized machine learning model that is specifically optimized for the German, Austrian, and Swiss contexts. All operations are conducted on the user’s device, ensuring that documents are not transmitted to any external servers. Recognized entities are substituted with uniform placeholders like [PERSON_1] or [COMPANY_A], which maintains the readability of the text. The mapping of detected data is securely stored on the device, allowing for a reversible process: users can anonymize a contract, utilize it with AI models like ChatGPT or Claude, and then seamlessly reintegrate the actual names into the document afterward. Each detection is presented for user verification prior to implementation, and the formatting of the output remains true to the original document. This solution is available as a signed desktop application compatible with both Windows and macOS, offered under a one-time licensing model. Additionally, users benefit from enhanced privacy, knowing their data is protected throughout the entire process.

OBVELO serves as a pseudonymization gateway for applications that interact with large language models by acting as an intermediary between the application and the model provider, substituting personal data with tokens before the information reaches the AI model. Once the model generates a response, OBVELO retrieves the original values to provide them back in the answer. This method of handling requests and responses is specifically designed to enable teams to utilize AI models while ensuring that personal data is not transmitted in its unaltered state. The gateway caters to organizations where technology, information, and data-protection leaders are focused on mitigating the risks associated with personal data exposure when using LLMs. Importantly, no request content is retained, ensuring privacy and security. Furthermore, OBVELO is available as both a Software as a Service (SaaS) solution and for on-premises installation, providing flexibility to meet various organizational needs. Organizations can thus confidently integrate AI capabilities while adhering to data protection standards.

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

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.

Subsalt represents a groundbreaking platform specifically designed to facilitate the utilization of anonymous data on a large enterprise scale. Its advanced Query Engine intelligently balances the necessary trade-offs between maintaining data privacy and ensuring fidelity to original data. The result of queries is fully-synthetic information that retains row-level granularity and adheres to original data formats, thereby avoiding any disruptive transformations. Additionally, Subsalt guarantees compliance through third-party audits, aligning with HIPAA's Expert Determination standard. It accommodates various deployment models tailored to the distinct privacy and security needs of each client, ensuring versatility. With certifications for SOC2-Type 2 and HIPAA compliance, Subsalt has been architected to significantly reduce the risk of real data exposure or breaches. Furthermore, its seamless integration with existing data and machine learning tools through a Postgres-compatible SQL interface simplifies the adoption process for new users, enhancing overall operational efficiency. This innovative approach positions Subsalt as a leader in the realm of data privacy and synthetic data generation.

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

NYMETRA is a desktop application available for both Windows and macOS that facilitates the preparation of confidential documents intended for generative AI applications. It identifies personal and corporate identifiers within supported files, enabling users to examine and amend these findings before substituting chosen values with consistent pseudonyms on their local machines. Users can then transmit the pseudonymized data to AI models such as ChatGPT, Claude, or Gemini by utilizing their respective provider accounts and necessary API credentials. Additionally, NYMETRA has the capability to restore original values within responses generated by AI and employs OCR technology to handle scanned documents. This tool is particularly tailored for legal, accounting, notarial, financial, and various professional teams that manage sensitive information. Throughout the processing phase, original documents and any correspondence tables remain securely stored on the user's device, while only the pseudonymized requests are directed to the chosen AI service. Licenses for NYMETRA can be obtained for individual users, collaborative teams, or larger organizations, ensuring that a wide range of users can benefit from its functionalities. Its emphasis on data privacy makes it an essential tool for professionals needing to safeguard sensitive records while leveraging AI capabilities.

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.

ScanScan is an advanced and efficient OCR text recognition and document scanning application that boasts impressive accuracy in recognition, swift processing speeds, and a clean scanning output while allowing users to create PDFs effortlessly. The app supports a range of features, including text translation from images, text extraction for note-taking, and converting paper documents into electronic formats, as well as the identification of identity cards and various other documents. Users can conveniently process up to 50 images simultaneously for text recognition and document scanning, while form recognition capabilities allow users to convert form images into editable .xls files compatible with applications like Excel or Numbers. Additionally, the app automatically saves recognition results as historical records for easy retrieval and searchability, ensuring that users can efficiently manage their documents. With continuous document scanning, users can generate PDFs on the fly, maintaining the original formatting of paragraphs for seamless integration into their workflows.

ReportLayer transforms JSON data into sleek, professional PDF documents through customizable templates designed with a user-friendly WYSIWYG interface. All processes can be executed directly in the browser or via the cloud, allowing for seamless document generation without server delays, as illustrated by the output PDF displayed on the right. Explore various demo templates to discover the capabilities of the designer, and take advantage of the ReportLayer Playground to create, save, and utilize your personalized templates at no cost. To access all features of ReportLayer, such as team-specific private templates and version control, simply sign up for a free ReportLayer account. The platform ensures that documents are generated entirely client-side, safeguarding sensitive information from being transmitted to external servers. Alternatively, if preferred, you can opt for cloud-based PDF generation with our straightforward API and JavaScript SDK, or even deploy ReportLayer on-premise for complete control over your data within your organization. With these varied options, ReportLayer caters to different user needs while prioritizing data security and flexibility.

PII Anomalyzer is a standalone desktop software designed to identify, anonymize, and redact personally identifiable information (PII) within documents, utilizing an exclusive dual-model AI system that operates completely offline. This application is particularly beneficial for teams in legal, healthcare, finance, and compliance sectors that require the utmost confidentiality and cannot risk sending sensitive materials to external cloud services or public AI platforms. Key features include: - Support for a wide range of PII entity types, such as names, Social Security numbers, financial account details, medical identifiers, addresses, dates, and customizable patterns. - Four distinct methods for de-identification: Redact, Replace, Highlight, and Mask. - Advanced proprietary dual-model AI that offers superior accuracy compared to traditional single-model solutions. - Compatibility with various formats including native and scanned PDFs, DOCX, XLSX, XLS, XLSM, XLSB, and plain text files. - Integrated optical character recognition (OCR) capabilities for processing scanned documents. - A re-identification mode that allows users to restore contextual information from AI outputs, contractor submissions, or reviewer comments. - The ability to process multiple documents at once for efficiency. Operating entirely offline ensures that there is no telemetry and that all data remains securely on your device. The software is available for $249 per year, complete with a 7-day free trial, and is compatible with both Windows and macOS systems, making it a versatile choice for organizations seeking to protect sensitive information.

Nonimo enables teams to leverage generative AI while managing client and personal data securely. Its applications for macOS and Windows are designed to identify sensitive information in chosen text, substituting it with labels prior to the text being transmitted to any AI tool; users have the ability to revert to the original data when retrieving responses. Additionally, a complementary extension integrates seamlessly with ChatGPT, Claude, and Gemini in both Chrome and Safari. Beyond text, the applications can also redact sensitive information from Word, Excel, PowerPoint, PDF, OpenDocument, and various other file types before they are uploaded, while browser tools facilitate the masking of fields in identification documents. Text analysis is conducted locally, ensuring that it can function without an internet connection. Organizations have the capacity to deploy these browser extensions through policy settings and can generate signed usage reports for monitoring purposes. Nonimo Gateway acts as a distinct self-hosted API proxy currently in pilot, catering to applications that utilize AI APIs; it effectively masks sensitive data in outgoing requests and restores it in responses. The platform is tailored to meet the needs of professional sectors such as law, accounting, healthcare, insurance, and public service, all of which routinely manage sensitive client or personal information. With Nonimo, teams can work with confidence, knowing their data is safeguarded throughout the process.

SecuredAI is a security-focused AI platform that enables organizations and individuals to use generative AI while automatically protecting sensitive information from being exposed to external AI models. Before any prompt reaches the AI service, the platform detects personally identifiable information and other confidential data, replacing it with intelligent placeholders that preserve context while hiding the original values. Unlike traditional redaction tools, SecuredAI restores the protected information locally on the user's device after the AI response is received, allowing users to work with complete and meaningful results. Its Zero-Knowledge Vault encrypts sensitive information locally using a master key that only the user controls, ensuring the original data never reaches or is stored by SecuredAI. The platform currently supports OpenAI and DeepSeek, with additional model support planned for Grok, Claude, and other AI platforms. Detection capabilities include names, email addresses, phone numbers, organization names, account numbers, identifiers, and customizable detection patterns for organization-specific data. SecuredAI is particularly well suited for regulated industries including healthcare, financial services, legal services, and enterprise environments where privacy and compliance are critical. By combining automated detection, context-preserving obfuscation, local encryption, and secure restoration, SecuredAI allows organizations to accelerate AI adoption without sacrificing data security or productivity. Teams can continue using AI assistants while maintaining greater control over sensitive information and reducing the risk of accidental data exposure.

Pragma Redact is an online application designed to anonymize PDF files, plain text, and images prior to distribution. It utilizes artificial intelligence to identify context-sensitive information, such as names and addresses, while also applying pattern recognition for formatted identifiers like account numbers, IDs, and email addresses. Additionally, it can process image files through optical character recognition (OCR). Users have the ability to review the automatically generated masks, make manual adjustments, and download either a redacted PDF or the sanitized text version. The tool also offers the option to create custom detection rules tailored to specific needs. Importantly, all processing occurs locally within the browser, ensuring that files remain securely on the user's device without being uploaded elsewhere. Pragma Redact is available for free, requiring no registration or limitations on usage, making it an ideal solution for preparing various documents such as support tickets, logs, reports, chatbot prompts, and more for external sharing. This user-friendly tool empowers individuals to protect sensitive information effortlessly.

Questa AI is a sovereign AI solution designed to protect sensitive business data while still enabling advanced AI-driven insights. Instead of sending raw files directly to external AI providers, the platform first anonymizes documents locally using its proprietary natural language processing engine. This redaction process ensures that confidential information remains protected and is never exposed for model training. Once anonymized, users can analyze the data with any preferred large language model, including GPT, Claude, or Gemini. The system supports standard business file formats such as Word, PDF, and Excel, making it easy to integrate into existing workflows. Organizations can generate analytical reports using built-in templates or their own custom prompts tailored to specific business needs. Users also have the option to chat with Novara, the platform’s AI assistant, to extract deeper insights from redacted data. Questa offers flexible deployment options, from cloud-based access for small teams to fully self-hosted enterprise servers. Automation features streamline report generation and distribution while maintaining strict data privacy standards. By eliminating vendor lock-in and safeguarding sensitive information, Questa empowers companies to adopt AI confidently and securely.

Cleardox provides an advanced redaction tool that automates the identification and anonymization of sensitive data found within various documents. This software creates a collaborative environment that optimizes document workflows, allowing users to easily redact personal information, including names, addresses, and phone numbers. By utilizing Cleardox Redact, organizations can bolster data security by simplifying the anonymization process, which in turn lowers the likelihood of data breaches and curtails human mistakes. The platform is well-suited for team-oriented settings, as it integrates seamlessly with document collaboration, review, and management tools. A standout feature is Cleardox AI, which fully automates the anonymization of extensive document collections. Furthermore, it adheres to privacy regulations by securely handling sensitive data and automatically deleting documents after a 30-day period to enhance security measures. Ultimately, Cleardox’s solution aims to remove the tedious and error-prone elements associated with traditional manual anonymization, thereby improving the overall user experience in document management. This innovative approach not only saves time but also instills confidence in the handling of sensitive information.

Viktury serves as a web-based trading journal tailored for active traders who analyze cryptocurrencies, stocks, ETFs, and various derivatives. This platform facilitates the importation of trading history via secure read-only connections to exchanges or brokers, synchronization with wallet addresses, or through CSV file uploads, subsequently consolidating individual transactions into complete round-trip trades. When data is sourced from compatible platforms, it captures details like per-fill fees and funding for derivatives, while also calculating profit and loss figures along with R-multiples based on the trader's specified stop. Traders can enhance their analysis by organizing reviews using playbooks, assigning grades to their setups, taking notes, and tagging mistakes, allowing them to scrutinize performance across different setups, time frames, and errors. Additionally, Viktury features a dedicated bar-by-bar replay tool that enables backtesting without incorporating replay outcomes into the statistics of live trades. This comprehensive trading journal is accessible as a web application, offering users both free and premium subscription options for enhanced features. Overall, Viktury aims to streamline the trading review process and improve decision-making for active traders.

SafeRedact is an online tool designed for document redaction that leverages artificial intelligence to detect and eliminate personally identifiable information from various file formats such as PDFs, JPGs, and PNGs. The process ensures that files remain on the user's browser, with only the necessary text being sent for AI analysis, thus safeguarding the original document from being uploaded or stored anywhere. Its advanced context-aware capabilities can accurately pinpoint sensitive information, including Social Security numbers, tax IDs, names, phone numbers, email addresses, physical addresses, dates of birth, account numbers, routing numbers, and credit card details, regardless of their formatting variations. Users have the opportunity to review all AI-generated suggestions, allowing them to either approve or reject detected items, and they can also manually highlight areas for redaction that the AI might have overlooked or additional content they wish to remove. Ultimately, SafeRedact generates a new document that completely excludes the sensitive information from the final output, ensuring that it is not merely hidden behind a removable black box but is permanently eliminated. This process provides users with peace of mind, knowing that their sensitive data is handled securely and efficiently.

The software effectively repairs damaged PowerPoint files (.ppt/.pptx/.pptm) and retrieves all lost data. Utilizing an advanced algorithm, it meticulously scans corrupted slides and restores all elements to their original state. The tool guarantees that no information is compromised during the repair process of PowerPoint files. Stellar Repair for PowerPoint is capable of addressing severely damaged presentations by employing a file-signature based recovery method that effectively tackles substantial corruption, ensuring the recovery of all data, including tables, headers, footers, charts, and WordArt, without any loss. This powerful PPT repair tool thoroughly fixes corrupt presentations, extracting every recoverable detail such as tables, controls, modules, forms, VBA code, OLE objects, hyperlinks, comments, and slide numbers. Additionally, the recovery software has the capability to restore macro-enabled PowerPoint presentations seamlessly, repairing damaged PPTM files while recovering all associated PowerPoint objects and their macros. This comprehensive approach ensures that users can regain their valuable content and maintain the integrity of their presentations.

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

Doclingo is an advanced translation platform driven by AI technology, designed for professional document conversions that allows the upload of various formats such as PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, images, and more, while translating content into more than 90 languages and preserving the original layout. Users benefit from a selection of multiple AI translation engines including ChatGPT, Gemini, Claude, and DeepSeek, and can utilize OCR capabilities to identify and translate text found in images and scanned files. Additionally, the platform offers online editing tools, terminology glossaries, bilingual comparison downloads, and interactive features that enable highlight-to-translate functionality. The system efficiently restores intricate formatting elements like text, images, tables, and charts, ensuring that the translated documents closely resemble their original designs. Furthermore, enterprise-level features encompass API access, batch processing, collaborative tools for businesses, and stringent document security measures in compliance with regulations such as ISO 27001, SOC 2, HIPAA, and GDPR, making it a reliable choice for organizations needing seamless translation solutions. With its user-friendly interface and robust capabilities, Doclingo stands out as a comprehensive tool for both individual and business translation needs.

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

Tictable is a streamlined, AI-driven data studio crafted to enable users to handle everything from small datasets to extensive data collections within a swift, browser-based framework. It merges the intuitive nature of spreadsheets with the capabilities of an integrated SQL engine, allowing users to execute queries directly in their browser without needing server interactions, which guarantees rapid results and efficient performance even when dealing with millions of rows. The platform connects seamlessly to various data sources, including CSV, JSON, Parquet, and local databases, utilizing its “magic import” feature to automatically import, clean, and organize data while identifying formatting discrepancies to prepare datasets for immediate application. Additionally, Tictable incorporates an intelligent AI assistant that can delve into data, create filters, formulate equations, and generate reports based on natural language requests, executing queries in real time to convert raw data into usable insights. This unique combination of features positions Tictable as an essential tool for data analysis, making it accessible and efficient for users at all levels.

dcmage serves as a complimentary DICOM workbench designed for the modification of metadata, the de-identification of studies, and the examination of volumetric data. Compatible with both native Mac applications and web browsers, it processes DICOM studies directly on your local machine, ensuring data privacy and efficiency. The tag editor feature allows users to search for any DICOM tag by its number, keyword, or value, encompassing nested sequences and private tags, while inline checks promptly identify any invalid value representations. Any edits made are saved to a new file, leaving the original data intact and unaltered. For de-identification, dcmage applies DICOM PS3.15 profiles, including HIPAA Safe Harbor guidelines, and enables the implementation of custom rules, ensuring consistent UID remapping across multiple studies. Additionally, its on-device OCR functionality identifies text embedded in images, allowing users to review and black out sensitive information as needed. The viewer offers multiple perspectives, including axial, sagittal, and coronal MPR, all with synchronized crosshairs and tools for adjusting window/level, zooming in, and taking measurements. An audit trail feature meticulously logs every edit, anonymization, and export using a SHA-256 hash-chained system, which can be exported for record-keeping purposes, making it easy to track changes. dcmage is tailored for research, data management, and technical evaluations, emphasizing its role as a powerful tool rather than a medical device. It empowers researchers and professionals to handle DICOM data with enhanced control and security.

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

Arms Cyber presents a stealth-oriented endpoint security platform tailored for the artificial intelligence era, designed to safeguard vital information from both human and AI-driven threats using a single, efficient sensor. Rather than merely detecting breaches after they occur, Raven actively obscures sensitive data, neutralizes threats in real-time, and maintains recovery options right at the endpoint, all without necessitating reboots, downtime, or the replacement of current security solutions. This innovative platform encompasses three essential modules. The AI Ransomware Protection feature effectively halts both AI-enhanced and traditional ransomware at the moment of execution, thereby restricting the extent of file access during an attack. Additionally, it seamlessly integrates with backup systems to obscure restoration points, deploy decoys, and thwart efforts to disable, erase, or manipulate backups, ensuring that a clean recovery remains achievable. Moreover, it addresses the visibility gap concerning AI at the endpoint by continuously monitoring every AI tool, model, and service operating on endpoints while enforcing organizational policies to prevent sensitive data from reaching unauthorized systems. This comprehensive approach not only fortifies data security but also significantly enhances the overall resilience of an organization’s cybersecurity posture.

Workplace use of AI tools such as ChatGPT, Copilot, Claude, Perplexity and DeepSeek has surged, often without oversight from IT departments. More than 92% of employees now use generative AI at work, exposing financial data, API keys, passwords, source code and personal records. Traditional Data Loss Prevention (DLP) solutions and proxies were not built for this new threat. Enter ZeusLock, a DLP solution designed specifically for the AI era. It analyzes prompts, files and images in real time and detects, anonymizes or blocks sensitive data before it reaches any AI service. Deployment takes about two minutes through a browser extension and an endpoint agent for Windows, macOS and Linux, protecting web apps, desktop apps, IDEs, terminals and AI agents, including their connections through the Model Context Protocol (MCP). Each data type is set to Off, Alert or Block per policy; Alert mode can anonymize values while preserving their format, and every incident is logged in masked form for auditing. ZeusLock also stops prompt injection and jailbreak attacks, and its Shadow AI Discovery maps the AI tools employees actually use, with risk scores and approval status. Detection relies on a dedicated multimodal language model backed by deterministic rules, hosted in Europe, or fully on-premise with the Sovereign Edition, with no US cloud dependency. This approach lets organizations embrace AI tools with confidence while keeping their data secure.