Today, Netwrix Corporation released a new version of Netwrix Auditor – Data Discovery and Classification Edition. The new edition provides complete visibility into where sensitive files are, what content is inside them, who can access these files and who actually uses them, so organizations can mitigate the risk of data breaches and prove the effectiveness of their security controls.
The data discovery and classification software empowers risk, compliance and data security officers and IT security pros to prioritize their efforts and secure data in accordance with its value or sensitivity. It enables them to mitigate the risk of PII, PHI, PCI and IP being stored outside dedicated locations and apply controls and policies consistently and accurately, so their organization can ensure both data security and regulatory compliance.
Request a free trial of Netwrix Auditor – Data Discovery and Classification Edition here
The key features include:
Deep Insight Into Sensitive Data
New predefined reports provide visibility into where sensitive files are, what content is inside them, who can access the files and who actually uses them. Subscriptions automate report delivery to any stakeholders.
Fast and Accurate Search of Sensitive Data
The new edition empowers you to quickly hone in on files containing very specific information —without any downtime or having to create new rules. For example, you can quickly find all personal data related to an individual in order to comply with the GDPR’s “right to be forgotten.”
Reusable Index
A unique ability to accumulate complex, multi-term metadata — not based on phrases, proximity, keywords or pre-configured taxonomies — eliminates the need to re-index the entire data repository whenever a classification rule is added or changed.
Predefined and Custom Discovery Rules
Out-of-the-box rules for identifying data protected by GDPR, PCI DSS, HIPAA and other regulations simplify the discovery process. Granular settings can be customized to find the exact data that matters to the business.
Statistical, Concept-based Analysis
Statistical analysis of multi-word concepts ensures a better understanding of the sensitive information patterns specific to the organization and provides more relevant results than are possible by relying solely on keywords and semantic analysis.
Incremental Indexing
New files and changes to existing files are automatically detected and quickly indexed and classified, without full re-collection.
Product Evangelist at Netwrix Corporation, writer, and presenter. Ryan specializes in evangelizing cybersecurity and promoting the importance of visibility into IT changes and data access. As an author, Ryan focuses on IT security trends, surveys, and industry insights.
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