Gain actionable insights into your entire unstructured data estate to pinpoint risk, redundant, aged, and trivial data. Leverage these insights to eliminate unnecessary data storage spend, unlock cloud migrations with intelligence, and to reduce your required investment on adjacent data security technologies.
Optimize utilization of on-premises and cloud resources by identifying redundant and rarely accessed files to be deleted or moved to inexpensive cold storage, preserving prime storage tiers for relevant, frequently accessed data.
Overcome obstacles preventing cloud initiatives by analyzing and gaining a true understanding of your data sets prior to a migration, ultimately reducing explore and cloud costs via proper utilization.
Adjust your data governance and security strategy by eliminating unnecessary copies of data along with the cost to store and protect those copies, ultimately prioritizing sensitive and valuable data for your costly technology investments.
Analyze any available sources and generate reports that shed light on your unstructured, dark data. Findings pinpoint risk, redundant, and aged data and let you prioritize next steps for data management, like a data cleanup, storage refresh, or migration project.
IDENTIFY
Leverage the Classify360 platform’s autodiscover capabilities to quickly identify file and folders at the source for analysis.
ANALYZE
Leverage the Enterprise Insights reports to analyze file and folder-level properties to classify:
REVIEW
Dive further into your Enterprise Insights reports – review results via document lists and previews.
Insights into over 35 file data attributes including systems’ aged, stale, obsolete, redundant, trivial, and types of systems files.
Insight into and classification by business units’ or cost centers’ aged, stale, obsolete, redundant, trivial, and types of files.
Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities.
Instant Insights |
Enterprise Insights |
Actions |
Comply360 |
|---|
| Instant Insights | Enterprise Insights | Actions | Comply360 | |
|---|---|---|---|---|
| Sources | Data Center or Cloud Sources | Data Center & Cloud Sources | Data Center & Cloud Sources | Data Center & Cloud Sources |
| Data Volume | 3-day surface scan | Unlimited | Unlimited | Unlimited |
| Instant Insights | Enterprise Insights | Actions | Comply360 | |
|---|---|---|---|---|
| Analysis Level | File & Folder Level Properties | File & Folder Level Properties | File & Folder Level Properties | File & Folder Level Properties |
| Instant Insights | Enterprise Insights | Enterprise Actions | Comply360 | |
|---|---|---|---|---|
| Data Classification Capabilities |  | | | Content-Level via Machine Learning |
| Instant Insights | Enterprise Insights | Actions | Comply360 | |
|---|---|---|---|---|
| Review | Document Review | Document Review | Document Review | CDM Hub |
| Instant Insights | Enterprise Insights | Actions | Comply360 | |
|---|---|---|---|---|
| Remediation Actions | | | Tier, Migrate, Delete |  |
| Instant Insights | Enterprise Insights | Enterprise Actions | Comply360 | |
|---|---|---|---|---|
| Pricing Model | Get started for free | Annual Subscription | Annual Subscription | Annual Subscription |
| Instant Insights | Enterprise Insights | Actions | Comply360 | |
|---|---|---|---|---|
| Single Tenant Hosting Available | Public Cloud | Public Cloud | Public Cloud | Public & Private Cloud |
What is data classification?
Data classification is the process of analyzing structured or unstructured data and organizing it into categories based on file type, contents, and other business rules or priorities.
What is sensitive data analysis?
Sensitive data analysis is a model that determines which data is risky for your organization on a content level. The level of “risk” is relative to the parameters your organization determines are relevant to its business, industry, and regulatory best practices.
What is machine learning?
Machine learning (part of artificial intelligence) is a field of inquiry devoted to understanding and building methods that ‘learn’, that is, methods that leverage data to improve performance on some set of tasks. Your favorite media streaming apps use supervised machine learning to let you influence your likes and dislikes; they learn your preferences and adjust their suggestions accordingly. Similarly, Classify360 allows users to guide classification parameters and learns from those corrections. The more data users classify, the smarter Classify360 becomes.
How is dark data impacted by classification?
Dark data is the information assets organizations collect, process, and store during regular business activities, but generally fail to use for other purposes. Holding onto unneeded data increases the risk associated with a data breach and robs organizations of valuable time and monetary budget needed to maintain this irrelevant, risky data. Through the classification process, dark data is brought to the forefront; decision makers can effectively delete or securely store it, reducing risk and increasing organizational efficiency.
Can data be classified based upon context?
You can classify data based on any terms your business considers a priority. Context is a popular way to classify data because it allows you to identify specific elements of documents such as social security numbers, credit card numbers, other Personal Identifiable Information (PII), and other content-level items.
How does data classification drive business goals?
Data classification identifies stale and sensitive risk data, enabling you to better protect sensitive data or securely dispose of stale data. Data classification provides clear insight into what data your organization has collected over time, reducing the risk and impact of a data breach and ensuring ongoing compliance. Security and risk platforms produce better output when classification is the first step in the data management process, as they ingest accurate, up-to-date data that is properly tagging and classified.
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