Ditch manual classification and unstructured data
Meet shifting regulatory requirements and security use cases head-on with optimized data discovery
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.
Data sprawl is making it harder to discover and classify structured and unstructured data types
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 into 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:
Breach liability
Data loss
Data privacy
Increased operational risks
Out-of-date data
Poorly protected data
Regulatory non-compliance
Reputational damage
Find and Classify All Your Data
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.
By adopting automated data discovery and classification solutions organizations can strengthen their overall security posture.
Get control of your data
Track and classify all data by type
Instill a privacy-first culture across the organization
Achieve compliance
Provide customer reassurance
Let Cavelo optimize your data discovery and classification processes.
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.
Recommended resources
Cavelo Platform Overview
Data Protection Solutions Guide
Kind words from great customers
DOM CHUNG
Director, Information Technology, Chaitons LLP
Robert Preduta
Director IT & Operations, WeirFoulds LLP
ben tercha
Vice President of Operations, Omega Systems
vinod paul
Chief Operating Officer, Align
KEITH B.
Vice President, IT & Chief Information Officer
