Best Data Discovery Software for GitLab

Transform your clients into success narratives with integrated intelligence that includes advanced analytics, intuitive dashboards, and beyond. Bold BI is meticulously crafted as an embedded platform, ensuring that there are no trade-offs or shortcuts in its functionality. Traditional requirements, such as the need to consolidate all your data into a specific data store or cube, can complicate your application unnecessarily in today’s environment. Some solutions necessitate the creation of intricate systems for data integration while also ensuring that the embedded BI data store remains aligned with your data sources. However, with Bold BI, you can seamlessly connect to a multitude of data sources as well as any data warehouse that suits your needs. Choose single-tenant mode for a shared data model or opt for multi-tenant mode to keep a unified source for dashboards while distributing them across various tenants. Bold BI is built to handle both conventional and unique situations effortlessly. You can embed Bold BI directly within your application code through its robust JavaScript APIs, making it a versatile choice for developers. This flexibility ensures that whatever your data requirements may be, Bold BI is equipped to meet them effectively.

An AI-driven code scanning tool aims to adopt a proactive, shift-left approach for safeguarding sensitive information and ensuring compliance with privacy regulations. The rapid evolution of product development often surpasses the capacity of privacy teams, necessitating frequent updates to outdated data maps, which can significantly burden their workload. With HoundDog.ai’s advanced code scanner, vulnerabilities that traditional SAST scanners might miss can be continuously identified, especially those exposing sensitive data in plaintext through various channels like logs, files, tokens, cookies, or external systems. It provides critical insights and remediation techniques, such as the removal of sensitive data, implementation of masking or obfuscation, or substitution of PII with UUIDs. Users receive timely alerts when new data elements are added, categorized by their sensitivity levels, helping to prevent unauthorized product changes from being released, thus mitigating potential privacy breaches. By automating these processes, the scanner effectively reduces the reliance on manual methods, which are often riddled with errors. This innovative solution not only enhances security but also streamlines workflow for privacy teams, allowing them to focus on more strategic initiatives.

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.

MIND represents a groundbreaking data security solution that automates data loss prevention (DLP) and insider risk management (IRM), enabling organizations to swiftly identify, detect, and thwart data leaks at machine speed. It actively locates sensitive information within files dispersed throughout various IT environments, whether the data is at rest, in transit, or actively in use. By pinpointing and addressing blind spots in sensitive data across IT ecosystems such as SaaS applications, AI tools, endpoints, on-premises file shares, and emails, MIND ensures comprehensive coverage. The platform continually monitors and assesses billions of data security incidents in real time, providing enriched context for each event and autonomously implementing remediation measures. Furthermore, MIND can automatically prevent sensitive data from leaving your control in real time or work collaboratively with users to mitigate risks while reinforcing your organization's policies. With its capacity to integrate seamlessly with diverse data sources across your IT infrastructure, MIND consistently reveals vulnerabilities in sensitive data, enhancing overall security posture. The innovative features of MIND not only protect valuable information but also foster a culture of compliance and awareness among users.

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.