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What is N-able Risk Intelligence?

Your clients recognize the importance of security; however, they often fail to fully comprehend its criticality until they face a real-world scenario. N-able™ Risk Intelligence converts this abstract concept into a concrete reality by quantifying vulnerabilities in your data, which helps you build a strong case for protecting information while focusing on the most pressing risks that require attention. By limiting access to sensitive data strictly to authorized individuals, you can mitigate the risk of breaches effectively. It is crucial to protect sensitive personal information from cyber threats and to analyze reports that outline the potential financial consequences of compromised data. Identifying weaknesses within your systems is vital for preserving integrity and ensuring operational continuity. Furthermore, safeguarding credit card information is essential for achieving compliance with PCI DSS standards. When sensitive data is left unprotected, it poses a considerable risk to your clients, causing businesses to handle large quantities of sensitive personally identifiable information (PII), such as social security numbers, driver's license data, and credit card information across multiple storage solutions. Thus, recognizing and addressing these security vulnerabilities is not only wise but also imperative for maintaining customer trust and protecting your organization's standing in the marketplace. Ultimately, proactive security measures can lead to enhanced customer loyalty and a stronger brand reputation.

What is CA Data Content Discovery?

Recognizing, organizing, and safeguarding essential business information is crucial for minimizing risks and ensuring compliance with regulations. CA Data Content Discovery assists businesses in identifying potential data exposure risks while allowing them to establish strong protection measures for their information. By discovering data within mainframe systems, classifying it based on sensitivity levels, and producing comprehensive reports, organizations can improve their compliance and auditing practices. As companies confront a more complex regulatory environment alongside the demands of the digital economy, it becomes imperative to categorize data in line with compliance standards or organizational goals, leading to reduced manual efforts, streamlined compliance processes, and enhanced productivity. A thorough comprehension of your data landscape is vital for effective data security. Leveraging critical insights and detailed reporting can guide strategic decision-making, minimize risks, and fortify the organization, ensuring resilience amidst the challenges of the modern business world. This proactive approach not only protects vital assets but also bolsters the organization's long-term sustainability and growth.

Media

Media

Integrations Supported

Intertrust ExpresssPlay

Integrations Supported

Intertrust ExpresssPlay

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

N-able

Date Founded

2000

Company Location

United States

Company Website

www.solarwindsmsp.com/products/risk-intelligence

Company Facts

Organization Name

Broadcom

Date Founded

1991

Company Location

United States

Company Website

www.broadcom.com/products/mainframe/compliance-data-protection/data-content-discovery

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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