Use case

Reduce unstructured
data risk

Continuously discover, classify, and remediate sensitive data across all sources to protect your organization during migrations, acquisitions, and everyday operations

The problem

The hidden dangers of unstructured sensitive data

Without continuous visibility, sensitive information can remain hidden, exposing your organization to massive financial liabilities and brand damage during key business transitions

of all business data is unstructured, with a growth rate of 55-65% per year, nearly 90% of this data is never analyzed
of enterprises experience data loss during poorly planned file migrations from on-premises legacy servers to cloud platforms
of an organization’s total data footprint is collected and stored but remains invisible and unanalyzed for decision-making or risk assessment

Secure data migrations

Cleanse your data before moving it to the cloud

Scan legacy systems

Deeply scan all data residing on legacy file servers before initiating your migration projects

Dramatically reduce sensitive data

Discover and dramatically reduce the volume of sensitive data prior to moving it to a new location

Ensure a pristine cloud environment

Transition safely to cloud-based solutions like SharePoint or OneDrive by ensuring your new destination remains devoid of legacy risks

De-risk mergers and acquisitions

Inherit business value, not costly data liabilities

Immediate risk discovery

Rapidly uncover unknown sensitive data hidden within the infrastructure of a newly acquired company

Accurate file classification

Automatically classify the newly acquired data to fully understand the scope of inherited immutable identifiers and sensitive information

Eliminate inherited threats

Actively eliminate files that present a risk to protect your organization from brand damage and reputational concerns

Establish an up-to-date inventory

Create a foundational data security control layer

Continuous visibility

Remove blind spots by maintaining an always up-to-date inventory of sensitive data across all of your sources

Actuarial risk mitigation

Proactively identify and address files containing immutable sensitive data to prevent massive financial liabilities tied to data exfiltration

Foundational security control

Establish the essential data security control layer needed to remediate current unstructured data risks and lay the groundwork for safe, large-scale AI deployments in the future

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