Best Data Classification Software for Amazon Web Services (AWS)

Dasera is a Data Security Posture Management (DSPM) solution that provides comprehensive security and governance for structured and unstructured data across cloud and on-premises environments. It uniquely monitors data-in-use, offering continuous visibility and automated remediation to prevent data breaches at every data lifecycle stage. Dasera facilitates continuous risk detection and mitigation, ensuring seamless integration and regulation compliance. With a deep understanding of data infrastructure, attributes, users, and usage, Dasera empowers organizations to pursue a secure, data-driven growth strategy, minimizing risks and maximizing value in the digital era.

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.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

Through a personal process, we create unique solutions for your company. From complex manual paperwork to intelligent document processing machines, nightmares can be turned into sweet dreams. Advanced AI allows you to automate business processes. Kapture is a cloud-based, self-service platform for enterprise-grade form extraction. AI-based OCR is used to automate data classification and extraction for different industries. We can handle images and forms of all sizes, including tiffs, pdfs, docxs, doc, doc, etc. Kapture allows you to create a classifier engine, which can be used to segregate your different types of documents. Your invoices can be distinguished from your loan document, kyc, and so forth. For further processing, the bulk of composite data can easily be divided and separated into its own classifier folder. Extractor automatically captures the critical values from your forms and printed materials at 80% automation.

Protect your sensitive data by identifying, classifying, and classifying it. Nightfall™, which uses machine learning to identify sensitive data such as customer PII across your SaaS, APIs and data infrastructure, allows you to manage and protect it. To monitor your data, integrate with cloud services via APIs in minutes. Machine learning accurately classifies sensitive data and PII, so nothing is missed. Automated workflows can be set up to save time and keep your business safe. Nightfall integrates directly to all your SaaS, APIs and data infrastructure. Nightfall APIs are available for sensitive data protection and classification. You can programmatically access structured results from Nightfall’s deep learning-based detectors, such as API keys and credit card numbers. Just a few lines of code are required to integrate. Nightfall's REST API allows you to easily add data classifications to your applications and workflows.

The NVISIONx data intelligence platform allows companies to take control of their enterprise data to reduce risks, compliance scopes and storage costs. Data is growing rapidly and getting worse every single day. Security and business leaders are overwhelmed and cannot protect what they don’t know. The problem can't be solved by adding more controls. Rich and unlimited analysis to support more than 150 business use cases to empower cyber professionals and data owners to manage their data proactive from cradle through grave. To reduce storage costs and the scope of data classification, first categorize or group redundant, obsolete, or trivial data (ROT). Next, use a variety of data analytics techniques to contextually classify any remaining data. This will allow the data owner to become their own data analyst. The legal and records retention reviews can be used to identify data that is not needed or desired.

Amazon SageMaker JumpStart can help you speed up your machine learning (ML). SageMaker JumpStart gives you access to pre-trained foundation models, pre-trained algorithms, and built-in algorithms to help you with tasks like article summarization or image generation. You can also access prebuilt solutions to common problems. You can also share ML artifacts within your organization, including notebooks and ML models, to speed up ML model building. SageMaker JumpStart offers hundreds of pre-trained models from model hubs such as TensorFlow Hub and PyTorch Hub. SageMaker Python SDK allows you to access the built-in algorithms. The built-in algorithms can be used to perform common ML tasks such as data classifications (images, text, tabular), and sentiment analysis.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.