Best Data Classification Software in Brazil - Page 2

Find out some of the best platform features provided by Global IDs, which brings in a set of Enterprise Data Solutions like data governance, data compliance, cloud migration, rationalization, privacy, analytics & much more! Global IDs EDA Platform feature comprises a set of core functions: automated discovery and profiling, data classification, data lineage, data quality and more – that render data transparent, trustworthy, and explainable across the ecosystem. Global IDs EDA platform architecture is designed for integration from the ground up with all platform functionality accessible via APIs. Global IDs EDA platform automates data management for enterprises of any size or data ecosystem.

Take control of your data with zero-trust access governance. Locate, risk assess, and protect business-critical content. Protect private and regulated data. Meet regulatory mandates for financial information, privacy and right-to-be-forgotten. Concentric provides agentless connectivity to a wide variety of data repositories so you can govern access to your data wherever it resides. We process both structured and unstructured data in the cloud or on-premises. We also integrate with popular data classification frameworks, like Microsoft Information Protection, so you can enjoy better coverage and more accurate classification results throughout your security stack. If you don’t see what you need on our list, let us know. Our professional services team will make quick work of getting your data connected.

NVISIONx data risk Intelligence platform enables companies to gain control of their enterprise data to reduce data risks, compliance scopes, and storage costs. Data is growing out of control and getting worse every day. Business and security leaders are overwhelmed and can’t protect what they don’t know. More controls won’t fix the problem. Rich and unlimited analysis to support over 150 business use cases to empower data owners and cyber professionals to proactively manage their data from cradle to grave. First, categorize or group data that is redundant, outdated, or trivial (ROT) and see what data can be defensibly disposed of to reduce the classification scope (and storage costs). Then, contextually classify all remaining data using a number of easy-to-use data analytics techniques to enable the data owner to be their own data analyst! Data identified as useless and unwanted can then go through legal and records retention reviews.

Data Loss Prevention is defined as a system that performs real-time data classification on data at rest and in motion while automatically enforcing data security policies. Data in motion is data going to the cloud, internet, devices, or the printer. Our solution is the technology leader. Protecting on-premises, off-premises, and the cloud whether it be Mac, Linux, or Windows; our Data Loss Prevention security engine accurately detects structured & unstructured data at the binary level. GTB is the only Data Loss Prevention solution that accurately protects data when off the network. Discover, identify, classify, inventory, index, redact, re-mediate, index, control and protect your data including PII, PCI, PHI, IP, unstructured data, structured data, FERC, NERC, SOX, GLBA & more. Our patented and patent-pending, proprietary technology is able to prevent the syncing of sensitive data to unsanctioned or private clouds, while allowing its users to automatically identify “sync folders”.

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can access built-in algorithms with pretrained models from model hubs, pretrained foundation models to help you perform tasks such as article summarization and image generation, and prebuilt solutions to solve common use cases. In addition, you can share ML artifacts, including ML models and notebooks, within your organization to accelerate ML model building and deployment. SageMaker JumpStart provides hundreds of built-in algorithms with pretrained models from model hubs, including TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV. You can also access built-in algorithms using the SageMaker Python SDK. Built-in algorithms cover common ML tasks, such as data classifications (image, text, tabular) and sentiment analysis.

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.

MIND is the first-ever data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot, so you can automatically identify, detect, and prevent data leaks at machine speed. Continuously find your sensitive data in files spread across your IT environments whether at rest, in motion, or in use. MIND continuously exposes blindspots of sensitive data across your IT environments including SaaS, AI apps, endpoints, on-premise file shares, and emails. MIND monitors and analyzes billions of data security events in real time, enriches each incident with context, and remediates autonomously. MIND automatically blocks sensitive data in real-time from escaping your control, or collaborates with users to remediate risks and educate on your policies. MIND continuously exposes blindspots of sensitive data at rest, in motion, and in use by integrating with data sources across your IT workloads, e.g. SaaS, AI apps, on-premises, endpoints, and emails.

Adaptive is a data security platform designed to prevent sensitive data exposure across all human and non-human entities. It offers a secure control plane to protect and access data, featuring an agentless architecture that requires zero network reconfiguration and can be deployed in the cloud or on-premises. The platform enables organizations to share privileged access to data sources without sharing actual credentials, enhancing security posture. It supports just-in-time access to various data sources, including databases, cloud infrastructure resources, data warehouses, and web services. Adaptive also facilitates non-human data access by connecting third-party tools or ETL pipelines through a central interface without exposing data source credentials. To minimize data exposure, the platform provides data masking and tokenization for non-privileged users without altering access workflows. Comprehensive audibility is achieved through identity-based audit trails across all resources.