Best Data Security Software for Microsoft Azure

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.

Jit's DevSecOps Orchestration Platform allows high-velocity Engineering teams to own product security while increasing dev velocity. With a unified and friendly developer experience, we envision a world where every cloud application is born with Minimal Viable Security (MVS) embedded and iteratively improves by adding Continuous Security into CI/CD/CS.

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

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.

As a service, you get simple, smart, and secure data protection. Metallic is the best choice for hybrid cloud services, whether you need it on-premises or SaaS. You can trust Metallic to provide data protection that matches your hybrid cloud strategy. Only SaaS data protection service that covers all hybrid workloads. Your containers are protected at all times. Protect what is most important against corruption and deletion across all of Microsoft Office 365. This integrated protection solution is simple, flexible and comprehensive. It covers all your structured data needs. Endpoint protection has never been easier or more simple. With automated backups and flexible, granular restoration, it's now possible to protect your data. What would you think if you could reduce storage costs on-premises, maintain compliance, and do it all quickly? Customers of Commvault and Metallic get fully-managed cloud storage that can be used for a wide range of workloads through a single interface.

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.

The cloud security platform that is actionable. Reduce risk by quickly exposing and closing security gaps caused by misconfigurations. CNAPP solutions replace a patchwork product that can cause more problems than it solves, such as false positives or excessive alerts. These products are often only partially covered and create friction and overhead with the products that they're meant to work with. CNAPPs are the best way to monitor cloud native applications. They allow businesses to monitor cloud infrastructure and application security as a group, rather than monitoring each one individually.

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

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.

Renowned startpoint security software products in the IRI Data Protector suite and IRI Voracity data management platform will: classify, find, and mask personally identifiable information (PII) and other "data at risk" in almost every enterprise data source and sillo today, on-premise or in the cloud. Each IRI data masking tool in the suite -- FieldShield, DarkShield or CellShield EE -- can help you comply (and prove compliance) with the CCPA, CIPSEA, FERPA, HIPAA/HITECH, PCI DSS, and SOC2 in the US, and international data privacy laws like the GDPR, KVKK, LGPD, LOPD, PDPA, PIPEDA and POPI. Co-located and compatible IRI tooling in Voracity, including IRI RowGen, can also synthesize test data from scratch, and produce referentially correct (and optionally masked) database subsets. IRI and its authorized partners around the world can help you implement fit-for-purpose compliance and breach mitigation solutions using these technologies if you need help. ​

Our cloud account connections (AWS, Azure, and GCP) are easy to establish with our agentless data discovery platform and scanning platform. There is nothing to install or manage. All native cloud data stores are supported, whether they are structured or unstructured. Normalyze scans your cloud accounts for both structured and unstructured data. It only collects metadata to be added to the Normalyze graph. During scanning, no sensitive data is collected. A graph of trust and access relationships is displayed in real-time. It includes fine-grained context, process names, data store fingerprints, IAM role and policies. Locate all sensitive data stores, identify all access paths, and score possible breach paths based upon sensitivity, volume, or permissions. This will allow you to quickly show all breaches that are waiting to happen. Identify sensitive data-based industry profiles like PCI, HIPAA and GDPR.

Modernized sharing experience. You can share your files with confidence and security in an intuitive environment designed with simplicity in mind. This powerful sharing tool allows for you to share, compress, encrypt and decrypt files all within a simple interface. You can easily share files to one or more locations. Additional layers of security include military-grade encryption, time bomb capabilities, and extra layers of encryption. You can now enjoy expanded cloud services such as OpenStack and SwiftStack regions, credential files, Alibaba and Wasabi, HP and Oracle, Azure, WebDAV and CenturyLink, IONOS, and OVH cloud providers. To save, zip, and share multiple PDF files, combine them into one PDF file. Slack IM streamlines workflow for sharing files. WinZip and ZipShare files can be managed. View, open, share again, or delete shared files. Keep track of the Zip files that you have shared via ZipShare or WinZip. You can email anyone directly using WinZip by adding contacts to all supported sources into one address book.

We questioned all assumptions about SIEM, and rebuilt it from scratch. The result is an improved security data platform that is faster, cheaper and more accurate. Attackers do not use sophisticated techniques to compromise systems. They log into legitimate accounts to move around. Even the most sophisticated teams have a hard time detecting these compromises. RunReveal gathers all your logs, filters the noise and tells you what is happening in your system that matters. RunReveal correlates threats across all log sources, whether you have petabytes of data or gigabytes. It can deliver high-quality alarms right out of the box. We've invested heavily in security controls to give us a solid foundational security program. By improving our security posture we can better understand our customers.

Protect and manage sensitive data across your environment. Microsoft 365 apps & services offer built-in information protection and labeling. AI-powered classifiers and exact data matches are among the tools that can help you achieve accurate classification. Configure, manage, and view analytics for on-premises files shares, Microsoft 365 applications and services, desktop and mobile devices, and Microsoft 365 apps in one place. SDKs allow you to extend a consistent protection experience across popular non-Microsoft applications and services. Discover and protect sensitive data across all your digital assets, including Microsoft 365, Azure, on-premises clouds, hybrid clouds, third-party cloud apps, and SaaS applications. Scan data in use and at rest to classify the data across Microsoft Teams, Microsoft Teams, Microsoft Teams on-premises file sharing, SharePoint, OneDrive and Microsoft 365 clouds.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

Securely store, secure, and tightly control access tokens, passwords and certificates to protect secrets and other sensitive data using a UI or CLI or HTTP API.

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.

Data privacy and security should not be a hindrance to your analytics-driven innovation efforts. Dataguise offers flexible encryption and masking options to protect sensitive data. This will ensure that your business is protected. Fast-track delivery of data sets can be achieved for analysis in real time, allowing for better insights and better decisions. Customers of Dataguise have many and changing needs. We know that our customers need more than just the solutions and services we offer. This is why we have built a strong network with carefully selected partners. This executive guide will show you how to maximize data value while protecting data privacy. Dataguise is more reliable than other data discovery tools, has a longer history, supports a wider range of data types, repositories, delivers lower false positive results, and scans data at a larger scale more reliably. Dataguise gives businesses the confidence to act in the best interest of their data.

Secure and control sensitive data you share with others. Azure Information Protection provides data protection that is easy to use, with embedded labels and permissions. It doesn't matter where the data is stored or who it is shared with. You can create policies to classify, label and protect data according to its sensitivity. Azure Information Protection allows for fully automatic classification. It can be driven by users or based upon recommendations. You can add classification and protection information to your data for persistent protection. This will ensure that it remains protected no matter where it is stored or with whom it is shared. Track data sharing activities and revoke access when necessary. Powerful logging and reporting can be used by your IT team to monitor, analyze, or reason over data. You can share data with your coworkers, customers, and partners in a secure way. Define who has access to data and what they can do.

Simplified security policy management, file integrity monitoring software. Security Auditor centralizes security administration in your cloud, hybrid, or on-premise environment. Our agentless technology makes it easy to enforce security policies quickly and reduce the risk of security misconfigurations, which are a major cause of data breaches. Security Auditor automatically protects all new systems as they are created and monitors them continuously to identify any configuration settings that do not meet your requirements. An easy-to-use web-based console allows you to make changes and receive notifications about any policy exceptions. This simplifies compliance reporting requirements and simplifies tasks. You can also run the FixIt function to automate the process and let Security Auditor handle the rest. Security Auditor makes it easy to identify and configure security settings for your elastic cloud infrastructure.

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.

We change the way organizations use data to unlock value. Data is the backbone for the digital economy. Enveil's award winning ZeroReveal®, solutions allow enterprises to securely and privately access data across organizational boundaries, jurisdictions and third parties. The interaction and results are never revealed. Our homomorphic encryption-powered capabilities and PETs provide a decentralized and efficient data collaboration framework that addresses business challenges such as data sharing, monetization and regulatory compliance. We offer the most advanced encrypted search, analytic and machine learning products in the market to protect data while it is being used or processed. This is the 'holy-grail' of secure data use. Enveil is a pioneering privacy-enhancing technology company that protects data for secure data sharing, usage, and monetization.

Modern businesses base their decisions on data. Modern privacy legislation focuses on the security and privacy data. Some businesses are built around data. As businesses move to the cloud and become more digital, it is even more important to secure data. Cloud computing offers many benefits, including flexibility and scalability. However, it also poses new challenges in terms of data protection. The sheer volume of data an organization must protect is one of the biggest challenges. Cloud computing allows enterprises to store and generate vast amounts of data with greater ease than ever before. This data is often scattered across multiple platforms and locations making it difficult to protect and track. DataGuard DSPM extends zero-trust to your hybrid cloud data stores. It develops a full understanding of the data types, where they are stored, who has access and how they're secured.

The TrustLogix Cloud Data Security Platform eliminates silos between data owners and consumers, security owners and data owners. It also simplifies data access management and compliance. Cloud data access issues and risk can be discovered in 30 minutes without having to see the data. Deploy finely-grained attribute based access control policies (ABAC) or role-based control policies (RBAC) to centrally manage data security postures across all cloud and data platforms. TrustLogix continuously monitors new risks and noncompliance, such as suspicious activities, over-privileged account, ghost accounts, new dark data, or data sprawl. It alerts you and empowers you to take action quickly. Alerts can also be sent to SIEM systems and other GRC solutions.

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.