Software Supply Chain Security for ITSM & Third-Party Risk
Address the rising threat of software supply chain attacks and protect your enterprise systems.
2023 Global Privacy Benchmarks Report
This report captures challenges and threats to privacy past and future, relevant business strategies and priorities, current knowledge, and best practices.
Cyber Chief Magazine Vol 21
Data Access Governance Best Practices
Discover Best Practices for Data Access Governance and File Server Permissions to strengthen your organization's security and compliance. Learn how to create user inventories, establish security structures, empower data owners, and implement access request workflows. Ensure the proper management of file server permissions, centralize administration, assign permissions to groups, and organize resources effectively.
Facilitating Data Loss Prevention with Netwrix Solutions
This eBook explains what data loss prevention is and how to find the right DLP approach for your organization. Then it explores how Netwrix solutions support the DLP needs of many organizations.
Addressing Modern Cybersecurity Challenges through Enterprise-Wide Visibility
Netwrix Auditor is just such a solution. More than 9,000 organizations worldwide, including large enterprises such as Siemens, R1 RCM, Allianz, Virgin Atlantic and Eni, already use this platform for data security, risk mitigation and compliance in their on-premises, cloud and hybrid IT environments and to increase the return on their security investments.
Building Effective Information Governance with Data Discovery and Classification
Most organizations struggle with how to manage the enormous volumes of information they have today, but the problem is going to become much more difficult in the future as both the number of new data types and the volume of data increase.
Practical Steps for Establishing Good Information Governance
Most organizations struggle with how to manage the enormous volumes of information they have today, but the problem is going to become much more difficult in the future as both the number of new data types and the volume of data increase.
