Alternatives to Aiimi

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

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.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

Teleskope is an innovative platform for data protection that aims to streamline the processes of data security, privacy, and compliance on a large scale within enterprises. It works by consistently discovering and cataloging data from a variety of sources, including cloud services, SaaS applications, structured datasets, and unstructured information, while accurately classifying more than 150 types of entities such as personally identifiable information (PII), protected health information (PHI), payment card industry data (PCI), and secrets with remarkable precision and efficiency. After identifying sensitive data, Teleskope facilitates automated remediation processes, which include redaction, masking, encryption, deletion, and access adjustments, all while seamlessly integrating into developer workflows through its API-first approach and offering deployment options as SaaS, managed services, or self-hosted solutions. Furthermore, the platform incorporates preventative measures, integrating within software development life cycle (SDLC) pipelines to prevent sensitive data from being introduced into production environments, ensure safe adoption of AI technologies without utilizing unverified sensitive information, manage data subject rights requests (DSARs), and align its findings with regulatory standards such as GDPR, CPRA, PCI-DSS, ISO, NIST, and CIS. This comprehensive approach to data protection not only enhances security but also fosters a culture of compliance and accountability within organizations.

Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

Dataplex Universal Catalog provides enterprise-wide visibility and governance for structured, semi-structured, and unstructured data. Its AI-powered semantic search allows users to query data in natural language, eliminating the need for complex search syntax. The platform enriches metadata with business context through glossaries, ownership attributes, and key usage details, supporting informed decision-making. It offers automated metadata ingestion, classification, and enrichment, reducing manual data management tasks. With built-in lineage tracking, organizations can trace data origins, transformations, and dependencies across multiple sources. BigQuery integration brings these governance capabilities directly into the analytics workflow, enhancing productivity. By connecting with BigLake, Dataplex extends governance to open lakehouses with Apache Iceberg and other engines. The result is a secure, scalable foundation for managing data-to-AI lifecycles across cloud-native and open-source ecosystems.

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

OneTrust offers a comprehensive Data & AI Governance solution that integrates various insights from data, metadata, models, and risk assessments to create and implement effective policies for data and artificial intelligence. This platform not only streamlines the approval process for data products and AI systems, thereby fostering faster innovation, but also ensures business continuity through ongoing surveillance of these systems, which helps maintain regulatory adherence and manage risks efficiently while minimizing application downtime. By centralizing the definition and enforcement of data policies, it simplifies compliance measures for organizations. Additionally, the solution includes essential features such as consistent scanning, classification, and tagging of sensitive data, which guarantee the effective implementation of data governance across both structured and unstructured data sources. Furthermore, it reinforces responsible data utilization by establishing role-based access controls within a strong governance framework, ultimately enhancing the overall integrity and oversight of data practices.

Dawiso is a comprehensive platform designed to simplify data management by integrating governance with usability for the entire organization. Central to Dawiso is its AI-powered data catalog, which empowers teams to quickly discover and understand trusted data across various systems, reports, and business applications. The platform’s flexible governance capabilities, alongside intuitive documentation apps, make it easy for both technical and non-technical users to collaborate effectively. Dawiso increases confidence in data through visual data lineage that clearly maps connections and dependencies across sources and systems. It supports regulatory compliance with customizable workflows, role-based access controls, and detailed metadata capture. By providing business-friendly tools and structured governance, Dawiso bridges communication gaps and streamlines data-driven decision-making. The platform promotes transparency, security, and usability in data management. Overall, Dawiso is built to enhance collaboration and trust in organizational data assets.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

Dymium delivers governed access to enterprise data in real time, giving AI, applications, and analytics just enough information to function—no more and no less. Its Ghost Layer architecture applies policies dynamically, evaluating each request at the moment it occurs rather than relying on static roles or delayed batch checks. This prevents over-permissioned access, blocks sensitive fields during AI inference, and ensures every query is compliant before data is returned. Teams gain live access to more datasets without waiting for pipelines, approvals, or shadow environments. Dymium eliminates the risks associated with data duplication by enforcing controls directly where data lives, regardless of structure or system. Security, privacy, and compliance teams benefit from full visibility and detailed audit trails for every interaction. AI and product teams can ship smarter, safer features with governance automatically built in. With support for row-, field-, and role-level access, Dymium modernizes governance for organizations operating at AI speed.

CoComply’s Certification Platform offers a top-down perspective on data and AI criticality. It guides organizations through a four phase process to achieve governance and certification readiness, as well as monetization ready for their data assets and AI assets. The platform is designed to streamline Data and AI Governance. It helps organizations organize, maintain, and certify assets in accordance with regulatory standards and complying with compliance requirements. The platform is powered primarily by two modules: 1) Regulatory Intelligence 2) Certification Management CoComply offers organizations a systematic path to achieve compliance, audit-readiness, and certification for their data and AI assets. Since 2008, more than 200 data and AI usage cases have been certified by our certification framework for compliance and risk.

Although not every model possesses the same quality, it is crucial for all models to have governance in place to promote responsible and ethical decision-making within an organization. The IBM® watsonx.governance™ toolkit for AI governance empowers you to oversee, manage, and track your organization's AI initiatives effectively. By utilizing software automation, it enhances your capacity to address risks, fulfill regulatory obligations, and tackle ethical issues related to both generative AI and machine learning (ML) models. This toolkit provides access to automated and scalable governance, risk, and compliance instruments that encompass aspects such as operational risk, policy management, compliance, financial oversight, IT governance, and both internal and external audits. You can proactively identify and mitigate model risks while converting AI regulations into actionable policies that can be enforced automatically, ensuring that your organization remains compliant and ethically sound in its AI endeavors. Furthermore, this comprehensive approach not only safeguards your operations but also fosters trust among stakeholders in the integrity of your AI systems.

Acquire profound and comprehensive understanding of your unstructured enterprise data to assess risks, lessen threats and vulnerabilities, and facilitate improved business decisions. Systematically classify, label, and arrange unstructured data on an enterprise-wide level. Foster swift, precise, and thorough identification of sensitive and high-risk files while providing in-depth insights through artificial intelligence. Ensure ongoing visibility into both newly generated and pre-existing unstructured data. Implement policy, compliance, and governance measures without the need for user manual input. Reveal hidden data while systematically classifying and organizing sensitive content and other data categories at scale, allowing for informed decisions regarding data migration strategies. Moreover, the platform supports both basic and complex file transfers across nearly any cloud service, network file system, or legacy ECM platform, all at a large scale, enhancing operational efficiency and data management. This holistic approach empowers organizations to not only manage their data effectively but also harness it for strategic advantage.

Prove AI is a comprehensive governance and management platform designed for artificial intelligence that consolidates AI models, datasets, and event logs within a secure, blockchain-supported data repository, now enhanced by its integration with IBM’s watsonx.governance on the Hedera network. It enables real-time tracking of AI lifecycle events along with version management and multi-party access permissions, while also ensuring automated compliance with regulations such as the EU AI Act, ISO 42001, and NIST standards, all complemented by extensive audit trails for effective troubleshooting, accountability, and validation by regulators. Organizations can achieve streamlined oversight of their AI operations through a centralized interface that governs configurations, access rights, updates, and event monitoring, all backed by fully auditable and serialized records. This platform equips enterprises to effectively manage AI-related risks, promotes transparency in their practices, and facilitates the confident expansion of responsible AI initiatives, ultimately fostering a more trustworthy AI ecosystem.

Trail ML serves as an AI governance copilot platform designed to assist organizations in establishing reliable, compliant, and transparent AI systems by automating tedious governance and documentation activities. It consolidates a variety of essential functions such as AI registry management, policy formulation, risk assessment, automated documentation, development oversight, audit trails, and compliance workflows into a single system, allowing teams to effectively categorize and monitor all AI applications, trace decisions from initial data and model stages to final outcomes, and minimize the burden of manual documentation and governance tasks. Additionally, it incorporates various governance frameworks and templates, facilitates the development of tailored AI policies, and aids teams in recognizing and addressing risks while preparing for audits and adhering to standards like ISO 42001, as well as regulations such as the EU AI Act. Trail employs a combination of curated knowledge, risk libraries, and AI-driven automation to manage governance responsibilities, convert regulatory mandates into actionable tasks, and enhance collaboration among stakeholders, ultimately fostering a more efficient governance environment. By streamlining these processes, organizations can focus more on innovation and less on compliance concerns.

Unify your AI governance initiatives amongst various stakeholders, guarantee that your governance procedures are primed for regulatory compliance, and effectively assess and control your AI-related risks and adherence to regulations. Transition from disjointed teams and processes to a consolidated source of reliable governance that simplifies the effective management of all your AI and machine learning projects. Keep informed on the latest regulations and standards with AI Policy Packs designed to comply with both current and emerging rules. Credo AI functions as an intelligence layer that integrates with your AI systems, converting technical documentation into practical insights regarding risk and compliance for product managers, data scientists, and governance professionals. By enhancing your technical and business infrastructure, Credo AI also provides risk and compliance metrics that can guide decision-making across your organization. This comprehensive approach not only streamlines governance but also fosters a culture of accountability and transparency in AI development.

SAP AIW serves as a comprehensive platform for enterprise data governance, facilitating the oversight, tracking, and management of both structured and unstructured asset data across various systems-of-record, including ERP, engineering, PLM, and maintenance systems. Enhance the efficiency of your master data governance by executing intricate multi-object change requests or extensive master data modifications effortlessly in a single action. By ensuring consistent and synchronized data from all record systems, accessible through a unified view, you can significantly reduce environmental and health and safety risks. Maintain and supervise your maintenance tasks with standardized master data, leading to minimized downtime and heightened productivity on the shop floor. Utilize an advanced user interface designed for multi-change object requests, which allows for efficient management of a complete asset structure. Additionally, enrich your asset data by incorporating information from both external and internal sources, which can then be integrated into your internal systems of record. Elevate usability with user-friendly hierarchy processing features that enable searching, copying, and replacing data seamlessly, thereby streamlining the overall data management process. This approach not only simplifies governance but also fosters a more integrated and responsive data environment.

Expireon is a cloud-based platform designed for information governance and archiving that empowers organizations to maintain complete control over their data while avoiding vendor lock-in by preserving items in their original formats and facilitating easy transfers to other systems. It enables swift migration from older archive systems, features integrated workflows for data transfer, and ensures a complete chain of custody for each item, making it particularly suitable for extensive transformation initiatives. The platform seamlessly connects with vital data sources, including Microsoft Teams, Slack Enterprise Grid, Exchange Online, OneDrive, SharePoint, and email/SMTP journals, while safeguarding comprehensive metadata, edits, deletions, attachments, and hyperlinks in a legally defensible manner. Expireon effectively combines strategies for long-term data retention, intelligent data disposition, and immediate access to data needed for e-discovery, which allows for the early elimination of irrelevant or redundant data, commonly referred to as “ROT,” ultimately leading to a decrease in review costs. Additionally, its user-friendly interface and robust functionality make it an attractive option for organizations aiming to enhance their data management practices.

StoredIQ offers a comprehensive suite for information governance, catering to legal needs, policy management, and features like StoredIQ InstaScan. The platform effectively tackles data management issues related to compliance, e-discovery, records management, storage optimization, and data migration. It streamlines the eDiscovery process, managing everything from hold notifications to the identification, preservation, and collection of relevant data. Additionally, it includes a sophisticated file analysis tool that utilizes automation and statistical sampling to pinpoint risk areas within unstructured cloud data. By providing centralized retention controls, it assists in mitigating information management risks while aligning with business and legal obligations. Furthermore, through a thorough evaluation of unstructured data across the organization, Breakwater empowers businesses to adopt data that is ready for operational use, thereby facilitating a seamless digital transformation journey for the entire enterprise. This integrated approach not only enhances compliance but also fosters a more efficient data-driven environment.

Ohalo's Data X-Ray platform automates data governance tasks like discovering, mapping, and redacting files containing sensitive, and personal information. Our customers rely on it for file activity monitoring, security enhancement, and privacy compliance. Data X-Ray connects seamlessly to all data sources, on-premises or in the cloud, enabling a comprehensive understanding of files across all storage locations. Moreover, Ohalo possesses the flexibility to develop custom connectors for individual data sources, whether they are bespoke or legacy, upon request. End-To-End Document Management Software. Data X-Ray uses machine learning and natural language processing to uncover unknown or forgotten data, ensuring compliance with privacy and security regulations. It helps eliminate unnecessary records, reducing storage costs. Get Data X-Ray: One Platform, Universal Insight.

AI-powered classification can enhance your DLP cross-channel. Proofpoint Intelligent Classification & Protection is an AI-powered solution for classifying your critical business data. It accelerates your enterprise DLP program by recommending actions based on the risk. Our Intelligent Classification and Protection Solution helps you understand unstructured data at a fraction of what it takes with traditional approaches. It categorizes your files using an AI-model that has been pre-trained. It does this for both cloud-based and on-premises file repositories. Our two-dimensional classification gives you the business context and level of confidentiality you need to protect your data better in today's hybrid environment.

Cloudficient provides a robust cloud transformation platform tailored for enterprises, facilitating organizations through all phases of their lifecycle, which encompasses migration, onboarding, information governance, and e-discovery, all powered by its integrated micro-services architecture known as the ReMAD platform. This comprehensive solution focuses on three principal areas: Cloud Onboarding & Offboarding, featuring tools like EVComplete, ES1Complete, PSTComplete, and Onboarding 365 Complete to facilitate the transition of legacy archives and PST files into Microsoft 365; Information Governance, highlighted by Expireon, an advanced cloud archive designed for quick onboarding, precise indexing, defensible retention and disposition, and scalable access without the risk of vendor lock-in; and Foundational eDiscovery, offered through CaseFusion and additional modules that streamline custodian mapping, legal holds, data preservation, and collection across numerous systems, ensuring a thorough and efficient management process. By leveraging these specialized tools and technologies, Cloudficient empowers organizations to navigate their digital transformations with confidence and efficiency.

MineOS is a UX-focused data privacy platform that knows compliance work has been rough in the past. Our automated no-code platform can be up & running in a day to bring companies comprehensive data mapping & classification that integrates with hundreds of popular data sources and discovers nearly 100% of a company’s data. By mapping and classifying data better, DSR management, risk assessments, and data policy enforcement all become easier and faster. Simplify compliance. Gain consumer trust. MineOS.ai

A comprehensive Data Governance platform provides actionable insights that facilitate strategic choices concerning data minimization, regulatory adherence, and transitioning to cloud environments. Classify360 equips organizations to manage their redundant, obsolete, and trivial (ROT) data, along with personally identifiable information (PII) and risk-related data, by enforcing policies that support compliance and data reduction, resulting in a smaller data footprint and more streamlined cloud migrations. Experience a unified index that offers a holistic view of your enterprise’s data, drawn from diverse and expanding datasets. By pinpointing data at its original source, organizations can mitigate the expenses, complexities, and risks associated with handling additional copies. Furthermore, this solution enables the identification of data at a petabyte scale across all on-premises and cloud-based data repositories, ensuring efficient management and utilization of resources. This capability not only enhances data governance but also promotes a more effective data strategy overall.

Microsoft Purview serves as a comprehensive data governance platform that facilitates the management and oversight of your data across on-premises, multicloud, and software-as-a-service (SaaS) environments. With its capabilities in automated data discovery, sensitive data classification, and complete data lineage tracking, you can effortlessly develop a thorough and current representation of your data ecosystem. This empowers data users to access reliable and valuable data easily. The service provides automated identification of data lineage and classification across various sources, ensuring a cohesive view of your data assets and their interconnections for enhanced governance. Through semantic search, users can discover data using both business and technical terminology, providing insights into the location and flow of sensitive information within a hybrid data environment. By leveraging the Purview Data Map, you can lay the groundwork for effective data utilization and governance, while also automating and managing metadata from diverse sources. Additionally, it supports the classification of data using both predefined and custom classifiers, along with Microsoft Information Protection sensitivity labels, ensuring that your data governance framework is robust and adaptable. This combination of features positions Microsoft Purview as an essential tool for organizations seeking to optimize their data management strategies.

The Clearswift Information Governance Server (IGS) enhances data loss prevention (DLP) capabilities to safeguard your organization’s crucial intellectual property and sensitive data from both accidental leaks and intentional threats. Serving as a secure centralized platform, it allows document owners to register sensitive and classified information, such as mergers and acquisitions, payroll details, intellectual assets, and product designs, thereby preventing unintentional or unauthorized dissemination, as well as malicious attacks from both inside and outside the organization. Registration of files occurs through a web browser or a client application, during which text is extracted and stored in a hashed format. Should these registered files or parts of them be emailed to unauthorized individuals or shared on unapproved websites, predetermined actions will be initiated based on the established policy for that specific data. Additionally, the Clearswift IGS is designed to work seamlessly with all Clearswift Secure Gateways and ARgon for Email, ensuring a comprehensive approach to data governance. This integration makes it easier for organizations to maintain compliance and protect their vital information assets.

Rational Governance is an enterprise software solution that facilitates industry-specific applications focused on the identification, comprehension, categorization, and oversight of data. It operates through several key technologies: a lightweight software system that integrates with critical unstructured data sources such as PCs, email systems, file shares, and document management systems, which collectively contribute to a unified content index. Additionally, it features a central server that enables centralized searching and management of all indexed materials, alongside sophisticated analytical tools that incorporate advanced machine-learning algorithms to support automated content classification and large-scale data analysis. Data management is carried out through these analytical tools on a policy or project basis, which empowers organizations with the capability to preserve, delete, duplicate, relocate, or receive notifications about any content across the entire enterprise from a single central interface. This streamlined approach not only enhances efficiency but also significantly improves data governance and compliance across the organization.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Maintaining outdated backup catalogs can incur high costs. The process of retrieving data from old tape backups has traditionally been intricate and time-consuming. Furthermore, neglecting these backup archives can lead to severe governance issues. Index Engines provides organizations with the ability to make informed choices about their legacy backup data, utilizing innovative direct indexing technology that operates independently of the original backup software. This approach involves a non-invasive analysis of backup images stored on tape or disk, which reveals valuable insights regarding file types, dates, users, and additional details. The capability to extract this information facilitates the selection of specific content for immediate requests or comprehensive compliance-driven migrations. Clients of Index Engines vary from smaller data environments managing terabytes of information to large multinational companies dealing with intricate data systems encompassing petabytes. Their implementations cover a wide range of needs, including data minimization, consolidation of legacy backup catalogs and data, as well as recovery from ransomware incidents and ensuring readiness for governance challenges. Ultimately, Index Engines enables organizations to streamline their legacy data management while reducing costs and improving compliance.

The AGAT Secure AI Platform is an AI solution that prioritizes security, offering robust generative AI features tailored for enterprise needs while maintaining strict data protection and governance standards. It can be deployed in various settings, including on-premises environments that are completely isolated, or through cloud services, facilitating scenarios where data exposure is minimized and enabling comprehensive control for enterprises. This platform includes two key components: an AI Suite and an AI Firewall. The AI Suite provides a private AI ecosystem featuring various modules, such as a knowledge assistant that retrieves answers from internal data, a data-analysis agent that performs natural language analytics on spreadsheets and databases, a smart search tool for meaning-based content discovery, an AI code assistant for code completion, generation, and error detection, as well as AI agents capable of planning and executing tasks through file modifications and internet searches. Meanwhile, the AI Firewall functions as a real-time proxy for public AI services, implementing risk-based policies and additional security measures, thus ensuring that organizations can leverage AI safely while adhering to their governance frameworks. Overall, AGAT Secure AI Platform stands out for its commitment to security without sacrificing the innovative capabilities of generative AI.

Controllo is an advanced Governance, Risk, and Compliance (GRC) platform that leverages artificial intelligence to integrate data, tools, and teams, facilitating a more efficient audit and compliance workflow while minimizing both timelines and expenses. The platform delivers a thorough approach to GRC management, equipping information security teams with a holistic perspective on compliance across diverse frameworks, which are interconnected, along with comprehensive risk assessments and control measures. Featuring intuitive dashboards that provide real-time insights, Controllo integrates effortlessly with ticketing systems such as Jira and ServiceNow, as well as communication platforms, to enhance effective risk management. By focusing on prioritizing vulnerabilities based on their real-world cyber risk implications instead of mere technical severity ratings, it empowers organizations to make informed mitigation choices that uphold regulatory standards. Additionally, Controllo accommodates a variety of compliance frameworks, ensuring flexibility and adaptability for its users. This comprehensive solution ultimately helps organizations navigate the complexities of risk and compliance more effectively.

Create, execute, and oversee AI models while enhancing decision-making at scale across any cloud infrastructure. IBM Watson Studio enables you to implement AI seamlessly anywhere as part of the IBM Cloud Pak® for Data, which is the comprehensive data and AI platform from IBM. Collaborate across teams, streamline the management of the AI lifecycle, and hasten the realization of value with a versatile multicloud framework. You can automate the AI lifecycles using ModelOps pipelines and expedite data science development through AutoAI. Whether preparing or constructing models, you have the option to do so visually or programmatically. Deploying and operating models is made simple with one-click integration. Additionally, promote responsible AI governance by ensuring your models are fair and explainable to strengthen business strategies. Leverage open-source frameworks such as PyTorch, TensorFlow, and scikit-learn to enhance your projects. Consolidate development tools, including leading IDEs, Jupyter notebooks, JupyterLab, and command-line interfaces, along with programming languages like Python, R, and Scala. Through the automation of AI lifecycle management, IBM Watson Studio empowers you to build and scale AI solutions with an emphasis on trust and transparency, ultimately leading to improved organizational performance and innovation.

Empowering AI governance leaders with advanced insights & risk intelligence to drive responsible AI innovation and compliance.

The Information Governance Suite is a collection of products that help organizations better discover, categorize and enhance their information assets, regardless of which system they are managed. The suite includes: -.discover which connects with information systems to index and categorize structured and unstructured information assets –.policy which allows organizations create full lifecycle policies to preserve and dispose of information - preservation and disposal near the end of an asset's lifecycle -.preserve which allows organizations to retain and dispose digital assets near the end - process which automates content-related actions such as content categorization to help record teams deal with increasing workload.

Ensure that AI implementation complies with corporate policies through our user-friendly AI governance control plane. By simplifying the process, you can enhance visibility and securely foster AI adoption with SurePath AI. The platform seamlessly integrates with your existing security infrastructure, private models, and enterprise data sources. It supports SSO, SCIM, and SIEM as core features. Monitor AI utilization at the network level while managing access and scrutinizing requests to prevent sensitive data leaks. Additionally, it allows for the redaction of sensitive information within requests directed at public models. The ability to modify requests in real-time promotes efficiency while minimizing risks. You can also redirect traffic to your private AI models, utilizing SurePath AI's access controls to create a custom-branded enterprise AI portal. With policy-driven controls, user requests are enriched with only the data they are authorized to access, resulting in responses that are contextually relevant to your business needs. Furthermore, user prompts are automatically optimized to ensure outputs align with your organization's strategic objectives while maintaining compliance.

Aithenticate is a platform designed to enhance transparency regarding AI-generated content, enabling users to reveal the involvement of artificial intelligence and ensuring better adherence to AI regulations. By utilizing the Aithenticate plugin, website administrators can effectively inform their audience about whether the content originates from human authorship or AI, fostering an environment of clarity and trust in the information shared. The plugin includes various features, such as a WordPress integration for managing AI transparency on the site, a personalized company profile that outlines business details and AI utilization, and a disclosure generator that formulates succinct statements regarding AI-assisted content creation. By adopting this plugin, you can seamlessly convey to your audience the specifics of how the content was produced, which reinforces trust in the information presented. Furthermore, our generator is designed to quickly produce clear disclosures that notify users of the AI technology's role in the website's development, ultimately enhancing the overall user experience and integrity of the site.

Acuvity stands out as the most all-encompassing AI security and governance platform tailored for both your workforce and applications. By employing DevSecOps, AI security can be integrated without necessitating code alterations, allowing developers to concentrate on advancing AI innovations. The incorporation of pluggable AI security ensures a thorough coverage, eliminating the reliance on outdated libraries or insufficient protection. Moreover, it helps in optimizing expenses by effectively utilizing GPUs exclusively for LLM models. With Acuvity, you gain complete visibility into all GenAI models, applications, plugins, and services that your teams are actively using and investigating. It provides detailed observability into all GenAI interactions through extensive logging and maintains an audit trail of inputs and outputs. As enterprises increasingly adopt AI, it becomes crucial to implement a tailored security framework capable of addressing novel AI risk vectors while adhering to forthcoming AI regulations. This approach empowers employees to harness AI capabilities with confidence, minimizing the risk of exposing sensitive information. Additionally, the legal department seeks assurance that there are no copyright or regulatory complications associated with AI-generated content usage, further enhancing the framework's integrity. Ultimately, Acuvity fosters a secure environment for innovation while ensuring compliance and safeguarding valuable assets.

The IBM® Unified Governance and Integration Platform stands out as a powerful and adaptable solution that boasts top-tier data governance and integration features, allowing organizations to effectively identify, manage, and analyze data for valuable insights. This platform offers significant flexibility, enabling users to purchase entitlements for various capabilities in flex points that do not expire and can be utilized across any product within the portfolio as business requirements shift. It encompasses a comprehensive range of IBM solutions, including data governance, data integration, data movement, master data management, and information lifecycle governance, all tailored to serve the needs of enterprises navigating the modern landscape of abundant data, whether structured or unstructured, on-premise or in private and public clouds. In today's digital economy, where entry barriers are continually diminishing, leveraging data-driven insights has become essential, often representing the sole avenue for achieving a competitive edge. As organizations adapt to these changes, the Unified Governance and Integration Platform empowers them to harness their data more effectively, ultimately driving innovation and growth.

Token Security presents an innovative strategy tailored for the booming era of Non-Human Identities (NHI), emphasizing a machine-first approach to identity security. In today's digital landscape, identities are omnipresent and often unmanaged; they manifest as machines, applications, services, and workloads, continuously generated by various sources throughout the day. The intricate and sluggish nature of managing these identities has resulted in an attack surface that organizations find difficult to navigate. Rather than concentrating solely on human identities, Token prioritizes the resources being accessed, swiftly revealing who accesses which resources, identifying vulnerabilities, and ensuring security without disrupting operations. Furthermore, Token adeptly identifies all identities across cloud environments, seamlessly integrating intricate components such as Kubernetes, databases, servers, and containers, thereby consolidating relevant identity data into a cohesive perspective. This comprehensive approach not only enhances security but also simplifies the management of identities within increasingly complex infrastructures.

The rapid growth of digital transactions and data has led to a situation where authorization logic is dispersed throughout organizations. This fragmentation can make it challenging to update, audit, and manage such logic, often turning it into a cumbersome process. PingDataGovernance addresses this issue by offering a centralized system for authorization policies that can assess various factors, including identity attributes, entitlements, and contextual information, to facilitate authorization of essential actions and access to valuable data. This solution empowers organizations to respond swiftly without compromising on security or compliance with regulations. With an intuitive drag-and-drop interface, anyone can modify policies in just minutes. Additionally, organizations have the flexibility to determine which teams should have access to manage these policies, allowing for tailored governance. In contrast to traditional role-based access control (RBAC), dynamic authorization leverages important contextual data attributes to evaluate access requests in real-time, enabling centralized policy enforcement that meets regulatory standards. This innovative approach not only streamlines the management of access controls but also enhances overall organizational agility in a rapidly changing digital landscape.

Acceldata stands out as the sole Data Observability platform that offers total oversight of enterprise data systems, delivering extensive visibility into intricate and interconnected data architectures. It integrates signals from various workloads, as well as data quality, infrastructure, and security aspects, thereby enhancing both data processing and operational efficiency. With its automated end-to-end data quality monitoring, it effectively manages the challenges posed by rapidly changing datasets. Acceldata also provides a unified view to anticipate, detect, and resolve data-related issues in real-time. Users can monitor the flow of business data seamlessly and reveal anomalies within interconnected data pipelines, ensuring a more reliable data ecosystem. This holistic approach not only streamlines data management but also empowers organizations to make informed decisions based on accurate insights.

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.

OpenText Content Management provides an enterprise-level solution for managing and securing content across various departments and teams. The platform ensures that digital assets are easily accessible, properly stored, and protected, while adhering to industry standards for compliance and governance. It incorporates powerful tools for document collaboration, retention management, and AI-powered content processing. With its user-friendly interface and seamless integration with business applications, OpenText Content Management supports organizations in managing their content efficiently, improving operational performance, and ensuring long-term compliance.