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What is QShield?

Protect your critical source code and confidential assets with the QShield compiler-obfuscator, which delivers powerful defenses for applications against both static and dynamic analysis techniques. Software operating in untrusted environments is particularly vulnerable to reverse engineering, as applications on devices that can be accessed by adversaries are at risk of various strategies designed to expose trade secrets and intellectual property. To effectively block unauthorized access and to prevent the extraction or alteration of source code from compiled binaries, it is crucial to adopt software protection methods that not only preserve revenue streams but also defend intellectual property. QShield boasts over 30 unique obfuscation techniques, providing users with detailed control over protection parameters through a file-based policy or inline code comments. It also features build diversification, ensuring each compiled application is distinctly unique, shaped by a user-defined randomness seed. Enhanced security measures include integrity verification and capabilities to identify debuggers, emulators, and hooking frameworks, thereby offering a thorough defense against various threats. In addition, employing QShield will not only strengthen your software’s defenses but also improve your overall security posture amidst a competitive market, ultimately giving you peace of mind. By investing in such robust protection, you're taking a significant step towards securing your digital assets against potential exploitation.

What is IBM InfoSphere Optim Data Privacy?

IBM InfoSphere® Optim™ Data Privacy provides an extensive range of tools aimed at effectively concealing sensitive data in non-production environments such as development, testing, quality assurance, and training. This all-in-one solution utilizes a variety of transformation techniques to substitute sensitive information with realistic, functional masked versions, thereby preserving the confidentiality of essential data. Among the masking methods employed are the use of substrings, arithmetic calculations, generation of random or sequential numbers, date manipulation, and the concatenation of data elements. Its sophisticated masking capabilities ensure that the formats remain contextually relevant and closely mimic the original data. Users are empowered to implement a wide selection of masking strategies as needed to protect personally identifiable information and sensitive corporate data across applications, databases, and reports. By leveraging these data masking functionalities, organizations can significantly reduce the risk of data exploitation by obscuring, privatizing, and safeguarding personal information shared in non-production settings, thus improving data security and regulatory compliance. Furthermore, this solution not only addresses privacy concerns but also enables businesses to uphold the reliability of their operational workflows. Through these measures, companies can navigate the complexities of data privacy with greater ease.

Media

Media

Integrations Supported

Amdocs Customer Experience Suite
Hadoop
IBM Cloud
IBM Db2
IBM InfoSphere Optim
IBM Informix
JD Edwards EnterpriseOne
Oracle PeopleSoft
Oracle Siebel CRM
SQL Server

Integrations Supported

Amdocs Customer Experience Suite
Hadoop
IBM Cloud
IBM Db2
IBM InfoSphere Optim
IBM Informix
JD Edwards EnterpriseOne
Oracle PeopleSoft
Oracle Siebel CRM
SQL Server

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

Quarkslab

Date Founded

2011

Company Location

France

Company Website

www.quarkslab.com/source-code-obfuscation-software/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/il-en/products/infosphere-optim-data-privacy

Categories and Features

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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