DATA DISCOVERY USE CASE

Ditch manual classification and unstructured data

Meet shifting regulatory requirements and security use cases head-on with optimized data discovery

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Overview


The practice of data discovery and classification varies widely and is typically built around the kind of information a business needs to track and manage its individual industry requirements.

Classification methods and outcomes vary too; while larger organizations have embraced data loss prevention (DLP) technology, smaller organizations with a limited budget and internal resourcing rely on manual methods to keep track of their data.

The Challenge

Small and midsize businesses face ever-increasing regulatory pressure, data privacy requirements and cyber risk. They’re held to the same standards as larger companies and are expected to maintain up-to-date data inventories in accordance with data privacy and security regulations. Many businesses, especially utilities and municipalities, rely on manual data classification techniques like folder structures and meta data tagging. But those methods are prone to error, can’t scale and lack diligence, making the process next to impossible to audit and difficult to enforce.  

On the other hand, larger companies have embraced DLP technology to provide classification capabilities and visibility to data leaving the network. However, the inline data suppression capabilities they offer are usually based on whitelisting and blacklisting, and push notifications after the data has left the network, rather than while it’s in motion and recoverable.

Risks of Limited and Manual Data Discovery & Classification Capabilities:

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Poorly protected data

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Out-of-date data

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Increased Operational Risks

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Breach Liability

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Data Loss

reputational-risk

Reputational Risk

regulatory-non-compliance

Regulatory Non-compliance

data-privacy

Data Privacy Risks

The Solution

Businesses need to rethink the way they’re managing data classification. Manual classification methods and unstructured data (databases) can’t keep pace with shifting use cases, escalating cyber risk and increasing regulatory pressures.

DLP technologies are an improvement but come with limited functionality and lack real-time visibility. By adopting automated data discovery and classification solutions organizations can:

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Get control of their data

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Track and classify all data by type

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Better identify organizational risk based on data types and sensitivity

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Institute data integrity and access controls

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Understand the value of the business’s information to better mitigate risk and align to compliance requirements.

Let Cavelo optimize your data discovery and classification processes.

Here's how:

  • The Cavelo platform discovers and maintains a data inventory per asset, automatically classifying your sensitive data.
  • Let the platform do the heavy lifting. Cavelo identifies sensitive data types within your data inventory and provides the ability to define your own types to discover.
  • Eliminate guess work and let the Cavelo platform query, report, and drive your next operational steps and strategy considerations using real data.
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The Cavelo Discover Platform offers pricing that's easy on your budget, and right-sized for your business

Depending on the type of business you are and the industry you operate in your data protection and compliance requirements will vary. That’s why the Cavelo Discover platform is offered as a right-sized platform that can meet your needs today and scale with your business, regardless of how many data sources, cloud applications and endpoints connect to the network. Our pricing model is simple and starts based on the number of data sources you’ve got on your network. 

Try before you buy 

We’re confident the Cavelo Discover platform will change the way you think about data discovery and compliance reporting, which is why we offer a no strings attached 30-day FREE trial and affordable monthly subscription packages. 

Get Started For Free