Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Uncompromised data protection offers the adaptability necessary to meet your specific requirements. Digital Guardian stands out among data loss prevention (DLP) solutions due to its capability to implement either a use case-based strategy (focusing on defined data types or user segments) or a data risk discovery methodology (which identifies previously unknown use cases). By utilizing this risk discovery framework, you can achieve enhanced visibility into the locations of sensitive data, its movement within the organization, and potential vulnerabilities, all without needing to establish policies. Built on AWS, Digital Guardian facilitates straightforward deployment, minimal overhead, and flexible scalability, maximizing the return on your security investment. It provides comprehensive support for Windows, macOS, Linux operating systems, and all types of applications, whether they are browser-based or native. Moreover, its unique “unknown risk” strategy further illuminates the whereabouts of sensitive data, detailing its movement and associated risks, again without relying on policies. Only Digital Guardian offers an integrated approach to data discovery and classification that encompasses content, user, and contextual factors, ensuring robust protection across your entire digital landscape. This multifaceted approach not only enhances data security but also streamlines compliance efforts across diverse regulatory environments.
Description
MAKVES DCAP represents a robust solution aimed at data-centric auditing and protection, specifically engineered to secure corporate data by managing access to essential information while ensuring adherence to regulations such as GDPR, FZ-152, and PCI DSS. By closely monitoring user interactions with files, the system effectively tracks sensitive data and uncovers potential risks, including excessive permissions and unauthorized actions. This solution features a unified platform for auditing IT assets across diverse settings, which encompass Active Directory, cloud storage, email servers, and more. Additionally, MAKVES DCAP enhances security by automating the processes of data classification, behavioral analysis, and enforcing policies to thwart data breaches. With a strong emphasis on safeguarding unstructured data, the system delivers real-time recommendations and remediation tools accessible directly through its interface. Moreover, it establishes a clear and transparent framework for managing access to the organization's informational resources, promoting accountability and compliance.
API Access
Has API
API Access
Has API
Integrations
Active Directory
Amazon S3
Amazon Web Services (AWS)
CentOS
Cisco Cloudlock
Debian
Dell EMC Avamar
Elevate Security
Fedora
FreeIPA
Integrations
Active Directory
Amazon S3
Amazon Web Services (AWS)
CentOS
Cisco Cloudlock
Debian
Dell EMC Avamar
Elevate Security
Fedora
FreeIPA
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Fortra
Founded
1982
Country
United States
Website
digitalguardian.com
Vendor Details
Company Name
MAKVES
Country
Russia
Website
makves.ru/dcap/
Product Features
Data Loss Prevention
Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting
Endpoint Protection
Activity Log
Antivirus
Application Security
Behavioral Analytics
Device Management
Encryption
Signature Matching
Web Threat Management
Whitelisting / Blacklisting