It's very likely that you've already used native Windows applications, such as Word, Excel and PowerPoint. Thanks to the evolution of these and other tools, such as cloud computing, many solutions needed to be modernized to ensure the secure sharing of databases and information within documents. That's where Microsoft Office 365 comes in . Have you heard about it?
Office 365 is a collaboration software with a suite of integrated tools, offered to companies of all sizes. When used intelligently, it can support the security and organization of information to stop and prevent cyber attacks.
Want to learn more about how to make your database more secure? Continue reading this content and check it out!
Content
What is Microsoft Office 365?
Discover the main Office 365 tools
10 advantages of Office 365 for companies
How Machine Learning is Used to Prevent Data Leakage
1- Anomaly Detection and Behavior
2- Automatic Classification of Sensitive Data
3- Sharing Pattern Detection
4- Data Loss Prevention (DLP)
The Office 365 tool
What is Microsoft Office 365?
Microsoft Office 365 is a cloud-based productivity suite developed by Microsoft. It is designed to provide a variety of applications and services that help individuals and businesses perform everyday tasks such as creating documents, spreadsheets, presentations, sending emails, managing calendars, and more.
Unlike traditional versions of Microsoft Office, which were installed locally on a computer, Office 365 is a subscription-based solution that provides access to Microsoft applications and services over the internet. This allows users to access their documents and collaborate with others in real time, regardless of device or location.
Discover the main Office 365 tools
Microsoft 365 offers a wide range of tools and services designed to increase productivity, collaboration, and efficiency.
The best known are:
Documents: A word processor used to create and format documents.
Spreadsheets : Spreadsheet program that allows you cpa email lists to create, organize, and analyze data in tabular formats.
Presentations : A tool for creating visual presentations with slides, charts and animations.
Outlook : An email client that also offers calendar, task, and contact management features.
OneNote : Digital notebook for creating notes, to-do lists, and ideas, allowing organization and synchronization between devices.
OneDrive : Cloud storage service that allows users to store, access, and share files and documents from anywhere.
SharePoint : Collaboration platform that allows you to create sites and portals to share information, documents and resources within teams and organizations.
Teams : Team collaboration app that offers chat, video conferencing, file sharing, and integration with other Microsoft 365 tools.
Forms : A tool for creating interactive surveys, quizzes and polls.
Power Automate : A tool for automating workflows and processes, integrating multiple Microsoft 365 tools.
Power BI : Data analysis platform that allows you to create interactive reports and dashboards to visualize business information.
10 advantages of Office 365 for companies
Microsoft Office 365 offers a number of benefits for businesses of all sizes and industries. Some of the top 10 benefits include:
Access from anywhere: Because it's cloud-based, Microsoft 365 lets employees access their applications, documents, and data from virtually any device with an internet connection, enabling more flexible, remote work.
Improved collaboration : Collaboration tools like Microsoft Teams and SharePoint make it easier to communicate as a team, co-author documents in real time, and share information efficiently.
Security and compliance : Microsoft 365 offers advanced security features, such as multi-factor authentication, data encryption, and compliance capabilities, to help businesses protect their sensitive data and meet regulations.
Continuous updates : With a Microsoft 365 subscription, businesses have continuous access to the latest updates and additional features, ensuring they are always using the most up-to-date versions of applications.
Centralized management : Microsoft 365 enables IT administrators to centrally manage users, devices, and settings through the admin panel.
Scalability : Companies can easily increase or decrease the number of subscriptions according to their needs, without large investments in infrastructure.
Backup and recovery : Cloud storage services like OneDrive and SharePoint offer data backup and recovery options, minimizing the risk of losing important information.
Improved productivity : Microsoft 365 tools are designed to increase productivity, with features like pre-formatted templates, task automation, and cross-application integration.
Mobility and synchronization : The ability to synchronize documents and data across multiple devices allows employees to work effectively from anywhere without the worry of losing information.
Integration with other tools : Microsoft 365 can be integrated with other business solutions and applications, enabling a more unified work experience.
How Machine Learning is Used to Prevent Data Leakage
Machine Learning, combined with Microsoft 365, is being used strategically to help prevent data breaches through advanced detection and monitoring techniques.
Microsoft recently implemented security and compliance features in its productivity suite to help businesses protect their sensitive and confidential data. Here are some practices that have helped companies achieve a much more secure database:
1- Anomaly Detection and Behavior
Machine learning systems can analyze usage patterns and normal user behavior in applications like Microsoft 365. When abnormal activity occurs, such as accessing sensitive databases outside of working hours or from an unusual geographic location, these systems can alert administrators to potential data breaches.
2- Automatic Classification of Sensitive Data
Machine learning can be used to automatically identify sensitive data, such as personal or financial information, within documents and emails. This allows companies to enforce security policies to restrict inadvertent sharing or distribution of the database.
3- Sharing Pattern Detection
Machine learning algorithms can analyze file and document sharing patterns, identifying suspicious behaviors such as excessive sharing of sensitive information with external users.