Alternatives to Statice

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

Source Defense is an essential element of web safety that protects data at the point where it is entered. Source Defense Platform is a simple, yet effective solution to data security and privacy compliance. It addresses threats and risks that arise from the increased use JavaScript, third party vendors, and open source code in your web properties. The Platform offers options for securing code as well as addressing an ubiquitous gap in managing third-party digital supply chains risk - controlling actions of third-party, forth-party and nth-party JavaScript that powers your website experience. Source Defense Platform provides protection against all types of client-side security incidents, including keylogging, formjacking and digital skimming. Magecart is also protected. - by extending the web security beyond the browser to the server.

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

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

PrivacyPillar is a consumer data privacy solutions company on a mission to empower consumers while protecting and growing businesses. Unlike the competition that uses scare tactics to sell ineffective “compliance” services, PrivacyPillar offers businesses the ability to leverage the “Power of Permission” to capture more and higher quality data, provide their customers with a better experience and capitalize on increased credibility while avoiding the anxiety and fines associated with non-compliance. We are truly invested in our customers’ success and provide them with robust, affordable and easy-to-use solutions. PrivacyPillar is fast becoming the most trusted name in consumer data privacy.

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.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Gretel provides privacy engineering solutions through APIs that enable you to synthesize and transform data within minutes. By utilizing these tools, you can foster trust with your users and the broader community. With Gretel's APIs, you can quickly create anonymized or synthetic datasets, allowing you to handle data safely while maintaining privacy. As development speeds increase, the demand for rapid data access becomes essential. Gretel is at the forefront of enhancing data access with privacy-focused tools that eliminate obstacles and support Machine Learning and AI initiatives. You can maintain control over your data by deploying Gretel containers within your own infrastructure or effortlessly scale to the cloud using Gretel Cloud runners in just seconds. Leveraging our cloud GPUs significantly simplifies the process for developers to train and produce synthetic data. Workloads can be scaled automatically without the need for infrastructure setup or management, fostering a more efficient workflow. Additionally, you can invite your team members to collaborate on cloud-based projects and facilitate data sharing across different teams, further enhancing productivity and innovation.

Share your production data with machine learning, data science, and analytics teams securely while maintaining customer trust. Eliminate the hassle of using regexes and open-source models. Private AI skillfully anonymizes over 50 types of personally identifiable information (PII), payment card information (PCI), and protected health information (PHI) in compliance with GDPR, CPRA, and HIPAA across 49 languages with exceptional precision. Substitute PII, PCI, and PHI in your text with synthetic data to generate model training datasets that accurately resemble your original data while ensuring customer privacy remains intact. Safeguard your customer information by removing PII from more than 10 file formats, including PDF, DOCX, PNG, and audio files, to adhere to privacy laws. Utilizing cutting-edge transformer architectures, Private AI delivers outstanding accuracy without the need for third-party processing. Our solution has surpassed all other redaction services available in the industry. Request our evaluation toolkit, and put our technology to the test with your own data to see the difference for yourself. With Private AI, you can confidently navigate regulatory landscapes while still leveraging valuable insights from your data.

Protect, Monitor, and Discover enterprise sensitive data across multiple platforms and environments. Automate your subject rights response and demonstrate regulatory compliance - all in one solution

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

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

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Enhance your privacy compliance and data security initiatives on Salesforce by utilizing an extensive range of products. Effective privacy programs hinge on meticulous data inventories and comprehensive risk evaluations. Unfortunately, many organizations fail to identify all data sources and are often bogged down by outdated manual processes and spreadsheets. Our Personal Data Inventory solution is specifically crafted to automate and optimize Data Protection Impact Assessments (DPIA) and enterprise data inventory procedures. This tool simplifies the task for organizations, ensuring they maintain an accurate data inventory alongside a thorough risk assessment. As the volume of privacy rights requests continues to rise, handling these requests manually can lead to inconsistencies, errors, and a greater chance of falling out of compliance. Our Privacy Rights Automation solution allows for self-service options and automates all activities related to privacy rights. By implementing this standardized and reliable solution, organizations can significantly reduce the risk of non-compliance while improving overall efficiency. Ultimately, investing in these tools not only promotes adherence to privacy regulations but also enhances customer trust and confidence.

Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance. Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.

Data Rover is an Advanced User Data and Security Management for any Data-Driven Organisation. A single solution for Infrastructure and Security managers that allows data users to explore, manage, process, and protect their data effectively and efficiently, by simultaneously addressing the two primary needs related to the use of data: Cyber Security and Data Management. Data Rover plays a key role in business asset protection and corporate data management policy definition. The software is designed for companies that need to ensure compliance with personal data protection regulations and provides detailed analysis of data access permissions. User Access Rights & Auditing Provides invaluable information about access privileges to files and folders. It allows you to analyse the effective permissions of the users, i.e. the real ones. It identifies not only who can access data, but also who did exactly what, when, and from where. Data Housekeeping Helps you identify and distinguish valuable assets from junk information that becomes unnecessary ballast and an unjustified cost to the company. Data Exchange Provides the company with an advanced data exchange and tracking system exclusively designed for the business.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

ManageEngine DataSecurity Plus lets you take control of sensitive data. Take a look at the most recent user activity, file activity, as well as access trends. The four Ws of every access are who accessed it, when and from where. The most important events, such as sudden permissions changes, file deletions and renaming events, are those that matter the most. Identify the most active users, most frequently accessed files, as well as the most modified files within your file system. You can set up instant alerts to notify you of sudden spikes in folder or file access or modification events. Receive real-time notifications when multiple attempts are made to access critical files. After business hours, monitor changes to sensitive files. Monitor only critical files, folders and shares. Receive real-time alerts when files are modified in an unauthorized manner. To detect unusual activity and misuse of privileges, configure threshold-based alerts that monitor user-generated events.

Roseman Labs allows you to encrypt and link multiple data sets, while protecting the privacy and commercial sensitivity. This allows you combine data sets from multiple parties, analyze them and get the insights that you need to optimize processes. Unlock the potential of your data. Roseman Labs puts the power of encryption at your fingertips with Python's simplicity. Encrypting sensitive information allows you to analyze the data while protecting privacy, commercial sensitivity and adhering GDPR regulations. With enhanced GDPR compliance, you can generate insights from sensitive commercial or personal information. Secure data privacy using the latest encryption. Roseman Labs lets you link data sets from different parties. By analyzing the combined information, you can discover which records are present in multiple data sets. This allows for new patterns to emerge.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

The Synthetic Data Vault (SDV) is a comprehensive Python library crafted for generating synthetic tabular data with ease. It employs various machine learning techniques to capture and replicate the underlying patterns present in actual datasets, resulting in synthetic data that mirrors real-world scenarios. The SDV provides an array of models, including traditional statistical approaches like GaussianCopula and advanced deep learning techniques such as CTGAN. You can produce data for individual tables, interconnected tables, or even sequential datasets. Furthermore, it allows users to assess the synthetic data against real data using various metrics, facilitating a thorough comparison. The library includes diagnostic tools that generate quality reports to enhance understanding and identify potential issues. Users also have the flexibility to fine-tune data processing for better synthetic data quality, select from various anonymization techniques, and establish business rules through logical constraints. Synthetic data can be utilized as a substitute for real data to increase security, or as a complementary resource to augment existing datasets. Overall, the SDV serves as a holistic ecosystem for synthetic data models, evaluations, and metrics, making it an invaluable resource for data-driven projects. Additionally, its versatility ensures it meets a wide range of user needs in data generation and analysis.

syntheticAIdata serves as your ally in producing synthetic datasets that allow for easy and extensive creation of varied data collections. By leveraging our solution, you not only achieve substantial savings but also maintain privacy and adhere to regulations, all while accelerating the progression of your AI products toward market readiness. Allow syntheticAIdata to act as the driving force in turning your AI dreams into tangible successes. With the capability to generate vast amounts of synthetic data, we can address numerous scenarios where actual data is lacking. Additionally, our system can automatically produce a wide range of annotations, significantly reducing the time needed for data gathering and labeling. By opting for large-scale synthetic data generation, you can further cut down on expenses related to data collection and tagging. Our intuitive, no-code platform empowers users without technical knowledge to effortlessly create synthetic data. Furthermore, the seamless one-click integration with top cloud services makes our solution the most user-friendly option available, ensuring that anyone can easily access and utilize our groundbreaking technology for their projects. This ease of use opens up new possibilities for innovation in diverse fields.

The General Data Protection Regulation (GDPR) is applicable to any website that has users hailing from the EU. It is crucial to ensure that your website's implementation of cookies and online tracking adheres to both the GDPR and the ePrivacy Directive (ePR). The landscape of the Internet has transformed significantly, leading to a trillion-dollar data economy that facilitates user data collection on an unparalleled scale. The Cookiebot consent management platform (CMP) offers a solution that provides clarity and management over all cookies and similar tracking technologies utilized on your site. By using Cookiebot, you can foster trust among your website visitors while remaining compliant with contemporary data protection laws, thus steering clear of the risks associated with non-compliance penalties. Cookiebot CMP actualizes this goal by offering three fully automated core features that can be effortlessly integrated: cookie consent, cookie monitoring, and cookie control. Furthermore, Cookiebot CMP ensures genuine compliance with privacy regulations through a respectful and transparent exchange of data, grounded in the consent of users visiting various websites. With such tools at your disposal, you can effectively navigate the complexities of data protection while enhancing user experience.

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

Embracing data-centric AI has become remarkably straightforward thanks to advancements in automated data quality profiling and synthetic data creation. Our solutions enable data scientists to harness the complete power of their data. YData Fabric allows users to effortlessly navigate and oversee their data resources, providing synthetic data for rapid access and pipelines that support iterative and scalable processes. With enhanced data quality, organizations can deliver more dependable models on a larger scale. Streamline your exploratory data analysis by automating data profiling for quick insights. Connecting to your datasets is a breeze via a user-friendly and customizable interface. Generate synthetic data that accurately reflects the statistical characteristics and behaviors of actual datasets. Safeguard your sensitive information, enhance your datasets, and boost model efficiency by substituting real data with synthetic alternatives or enriching existing datasets. Moreover, refine and optimize workflows through effective pipelines by consuming, cleaning, transforming, and enhancing data quality to elevate the performance of machine learning models. This comprehensive approach not only improves operational efficiency but also fosters innovative solutions in data management.

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.

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.

Rockfish Data represents the pioneering solution in the realm of outcome-focused synthetic data generation, effectively revealing the full potential of operational data. The platform empowers businesses to leverage isolated data for training machine learning and AI systems, creating impressive datasets for product presentations, among other uses. With its ability to intelligently adapt and optimize various datasets, Rockfish offers seamless adjustments to different data types, sources, and formats, ensuring peak efficiency. Its primary goal is to deliver specific, quantifiable outcomes that contribute real business value while featuring a purpose-built architecture that prioritizes strong security protocols to maintain data integrity and confidentiality. By transforming synthetic data into a practical asset, Rockfish allows organizations to break down data silos, improve workflows in machine learning and artificial intelligence, and produce superior datasets for a wide range of applications. This innovative approach not only enhances operational efficiency but also promotes a more strategic use of data across various sectors.

As interactions with customers increasingly transition from physical to digital environments, it becomes necessary to move beyond traditional face-to-face conversations. Instead, customers now convey their preferences and requirements through data. Gaining insights into customer behavior and validating our preconceptions about them also relies heavily on data-driven approaches. However, stringent privacy laws like GDPR and CCPA complicate this deep understanding even further. The MOSTLY AI synthetic data platform effectively addresses this widening gap in customer insights. This reliable and high-quality synthetic data generator supports businesses across a range of applications. Offering privacy-compliant data alternatives is merely the starting point of its capabilities. In terms of adaptability, MOSTLY AI's synthetic data platform outperforms any other synthetic data solution available. The platform's remarkable versatility and extensive use case applicability establish it as an essential AI tool and a transformative resource for software development and testing. Whether for AI training, enhancing explainability, mitigating bias, ensuring governance, or generating realistic test data with subsetting and referential integrity, MOSTLY AI serves a broad spectrum of needs. Ultimately, its comprehensive features empower organizations to navigate the complexities of customer data while maintaining compliance and protecting user privacy.

Sixpack is an innovative data management solution designed to enhance the creation of synthetic data specifically for testing scenarios. In contrast to conventional methods of test data generation, Sixpack delivers a virtually limitless supply of synthetic data, which aids testers and automated systems in sidestepping conflicts and avoiding resource constraints. It emphasizes adaptability by allowing for allocation, pooling, and immediate data generation while ensuring high standards of data quality and maintaining privacy safeguards. Among its standout features are straightforward setup procedures, effortless API integration, and robust support for intricate testing environments. By seamlessly fitting into quality assurance workflows, Sixpack helps teams save valuable time by reducing the management burden of data dependencies, minimizing data redundancy, and averting test disruptions. Additionally, its user-friendly dashboard provides an organized overview of current data sets, enabling testers to efficiently allocate or pool data tailored to the specific demands of their projects, thereby optimizing the testing process further.

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.

Get compliant today with the #1 Cookie & Consent Management Platform. Secure Privacy protects +10000 websites and helps companies comply with CPRA and GDPR. Our privacy training platform and our CMP are constantly updated to meet evolving legal requirements. Secure Privacy will allow you to: 1. Our intelligent, integrated solution will fully automate all your consent and cookie management needs. 2. Keep up-to-date on GDPR, CPRA, and other international data privacy regulations. 3. Securely document, store, and filter consent. 4. In an easy-to use platform, comply with all legal requirements for all your web properties. We are happy to help you with your compliance journey. We'd be happy to schedule a demo call for you.

Protective.ai assists startups and developers in enhancing their data security while simultaneously increasing user trust and adoption rates. The integration of third-party applications with your preferred platforms has become simpler than ever. Nevertheless, this convenience often results in your customer data, emails, documents, and internal communications being handled by multiple companies, each with differing levels of data security and privacy policies. We leverage artificial intelligence to evaluate the cloud security, privacy terms, and social signals of over 10,000 business applications and integrations to assess their data protection effectiveness. Our scoring system helps users identify which applications prioritize data safety and which ones require improvements in their security and privacy practices. By revealing the genuine risks associated with cloud vulnerabilities and lenient privacy policies, we go beyond merely relying on self-reported compliance from these apps. Furthermore, our PRO solution offers research and development, marketing, sales, and information security teams continuous oversight, notifications, and safeguards against potentially unsafe integrations, ensuring comprehensive protection for your data.

Legally ok consent management platform (CMP), which is an all-in-one data privacy solution, provides transparency and control over all cookies and similar tracking that are placed on your website or webshop. Legally ok CMP helps to build trust with website visitors, while adhering data protection laws and avoiding possible fines. It is easy to set up and has three core functions (cookie consent monitoring, control, and monitoring). The Legally OK consent management platform allows you to ensure compliance with privacy laws through the promotion of respectful and transparent data exchanges based on user consent.

Commercial websites function as powerful tools for generating leads, accumulating customer data across various platforms like databases, cloud CRMs, newsletters, and online support systems. Legally, your business holds the responsibility for safeguarding all personal data of your customers. Privacybunker offers a fast, secure, and risk-free solution that can help save your business between 5 to 7 figures in USD or EUR by minimizing support hours and reducing human errors. Our dedication to promoting privacy adoption and enhancing awareness is unwavering. Recently, Privacybunker introduced Databunker, an open-source, self-hosted solution that ensures secure storage of personal data in compliance with GDPR regulations. Additionally, we offer a complimentary cookie banner assessment and provide free privacy training targeted at startup developers. Privacybunker aims to transform the concept of privacy for both consumers and businesses alike. Our vision includes creating a cutting-edge automation service designed to simplify privacy for all users. Our team comprises engineering, business, and thought leaders with experience from renowned companies such as Checkpoint and RSA Security, collectively driving innovation in the privacy landscape. We believe that a new era of privacy management is not only possible but essential for the future of digital interactions.

The TRUENDO Consent management Platform (CMP), which is highly automated, flexible, reliable, and can be installed on any website, is highly customizable. It allows you to easily manage any personal data that is collected through tools such as pixels, scripts, and cookies. Its control panel allows website administrators to quickly prove compliance with data protection regulations around the world (GDPR, ePrivacy and CCPA, etc.). CMP scans your website to detect compliance violations and blocks data collection tools until visitors give their consent. It adjusts your privacy policy automatically to comply with the latest legislation. Here are some of its key features: Unlimited page views and sessions - Cookie and privacy policies integrated - Fully automated and easy integration - Customizable: You can adjust the color scheme to match your website's design Statistics and insights - Learn more about your website traffic

Introducing a comprehensive solution for effortless GDPR adherence, designed to streamline the regulatory compliance experience and support privacy professionals globally. This innovative tool equips your privacy program with a user-friendly and secure interface, enhanced by integrated automation that facilitates the execution of all compliance-related tasks. Improve transparency by effectively showcasing your compliance efforts to essential stakeholders. Effortlessly share your outcomes within the privacy team and with upper management through automated, pre-designed reports. Maintain a clear overview of your entire privacy administration while ensuring you retain full control over the processes. Leverage smart automation to optimize and standardize your workflows, allowing for a more efficient approach to compliance. Simplify your data protection initiatives while meeting all GDPR requirements, ensuring your organization remains aligned with regulatory standards. This solution not only enhances your compliance capabilities but also fosters a culture of accountability within your organization.

Discover a user-friendly tool that addresses all your needs for DPIA, ROPA, and audits efficiently. Our record of processing assists you in pinpointing data, ensuring visibility, and maintaining compliance. Easily edit to keep information current, while filtering and sorting by processes or legal entities, and assigning responsibilities to business owners. We've crafted specialized questionnaires that cater to DPIA and ROPA compliance requirements. With our ready-to-use DPIA templates, complete with predefined checklists and remediation actions, managing, monitoring, and tracking risks becomes a straightforward task. Smart Privacy enables you to assess your compliance status at any moment. Additionally, you can generate compliance reports in Excel, PDF, and Word formats for internal use or to share with regulatory bodies, ensuring transparency and accountability in your data management practices. This comprehensive approach not only streamlines your compliance processes but also enhances your organizational awareness regarding data privacy.

Comprehensive end-to–end eDiscovery software. Exterro's software platform allows you to manage and optimize all of your e-discovery activities from preservation to production. Exterro unifies all aspects of e-discovery, making it easier to get to the bottom of cases faster and at a fraction the cost. Exterro Software Platform, a single, integrated solution that unifies all Exterro's E-Discovery products and Information Governance products, is the Exterro Software Platform. You can quickly collect data from many data sources and learn more about your case with over 30 data integrations. You can save time and money by only collecting relevant data. This will reduce the total data set. Exterro's Privacy Solutions enable your team to quickly organize processes for complying with the critical requirements of the European Union’s General Data Protection Regulation, California Consumer Privacy Act (CCPA), and other privacy regulations.

Leverage our AI-driven platform to rapidly achieve certification while also enhancing your comprehension of critical security and compliance risks. We assist clients in tackling these obstacles by fostering a security framework that aligns with their broader goals, employing a distinctive iterative and risk-focused methodology. Whether you choose to expedite your certification process or simultaneously minimize downtime caused by cyber threats, we empower organizations to establish strong digital security and compliance management with 40% reduced effort and more efficient budget utilization. Our intelligent platform not only automates monotonous tasks but also streamlines adherence to intricate regulations and frameworks, proactively addressing risks before they can impact operations. Furthermore, our team of experts is available to provide ongoing guidance, ensuring organizations are well-equipped to navigate their current and future security and compliance challenges effectively. This comprehensive support helps to build resilience and confidence in today's rapidly evolving digital landscape.

Our platform, powered by AI, is designed to assist data analysts and machine learning engineers in fully harnessing the potential of their analytical data sets. Utilizing the patterns uncovered from current data, Datomize allows users to produce precisely the analytical data sets they require. With data that accurately reflects real-world situations, users are empowered to obtain a much clearer understanding of reality, leading to more informed decision-making. Unlock enhanced insights from your data and build cutting-edge AI solutions with ease. The generative models at Datomize create high-quality synthetic copies by analyzing the behaviors found in your existing data. Furthermore, our advanced augmentation features allow for boundless expansion of your data, and our dynamic validation tools help visualize the similarities between original and synthetic data sets. By focusing on a data-centric framework, Datomize effectively tackles the key data limitations that often hinder the development of high-performing machine learning models, ultimately driving better outcomes for users. This comprehensive approach ensures that organizations can thrive in an increasingly data-driven world.

Unlock the potential of your enterprise data. Hazy transforms your enterprise data, making it quicker, simpler, and more secure for utilization. We empower every organization to effectively harness its data. In today’s landscape, data is incredibly valuable, yet increasing privacy regulations and demands mean that much of it remains inaccessible. Hazy has developed an innovative method that enables the practical use of your data, facilitating better decision-making, the advancement of new technologies, and enhanced value delivery for your customers. You can create and implement realistic test data, allowing for swift validation of new systems and technologies, which accelerates your organization’s digital transformation journey. By generating ample secure, high-quality data, you can build, train, and refine the algorithms that drive your AI applications and streamline automation. Additionally, we help teams produce and share precise analytics and insights regarding products, customers, and operations to enhance decision-making processes, ultimately leading to more informed strategies and outcomes. With Hazy, your enterprise can truly thrive in a data-driven world.

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

Streamline labor-intensive data processing tasks such as structuring, labeling, and preprocessing, while managing all your data within a single, easily integrable platform. Enhance the accessibility of your data swiftly by utilizing privacy-preserving synthetic data and intuitive exchange platforms. The Aindo synthetic data platform enables secure data sharing among various departments, external service providers, partners, and the AI community. Discover new opportunities for collaboration and synergy through the exchange of synthetic data. Gain access to essential data in a transparent and safe manner, fostering comfort and trust among your clients and stakeholders. The Aindo platform effectively eliminates data inaccuracies and biases, offering fair and comprehensive insights. Strengthen your databases to withstand unique events, and ensure datasets accurately reflect true populations for a just overall representation. Seamlessly address data gaps with precision and reliability, enhancing the quality and integrity of your data. This holistic approach not only improves data quality but also empowers organizations to make informed decisions based on accurate information.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

Syntheticus® revolutionizes the way organizations exchange data, addressing challenges related to data accessibility, scarcity, and inherent biases on a large scale. Our synthetic data platform enables you to create high-quality, compliant data samples that align seamlessly with your specific business objectives and analytical requirements. By utilizing synthetic data, you gain access to a diverse array of premium sources that may not be readily available in the real world. This access to quality and consistent data enhances the reliability of your research, ultimately resulting in improved products, services, and decision-making processes. With swift and dependable data resources readily available, you can expedite your product development timelines and optimize market entry. Furthermore, synthetic data is inherently designed to prioritize privacy and security, safeguarding sensitive information while ensuring adherence to relevant privacy laws and regulations. This forward-thinking approach not only mitigates risks but also empowers businesses to innovate with confidence.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.