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According to their new Landscape report, Forrester states that organizations are rapidly adopting Data Security Platforms (DSPs) to regain control.
This marks a critical shift from reactive defense to proactive resilience.
Instead of just trying to block attacks, a data-centric approach delivered by an integrated DSP renders your data incomprehensible and unusable to anyone who steals it.
It is the architectural evolution required to:
DataStealth protects sensitive data at the field level across on-prem, cloud, SaaS, legacy, and AI environments, so your team can reduce risk, simplify compliance, and make exposed data unusable without invasive deployments or complex integrations.

Find sensitive data across on-prem, cloud, SaaS, legacy, and AI environments before it becomes an incident, audit finding, or breach exposure.

Automatically identify sensitive data across applications, databases, and file shares so teams focus protection where the risk is highest.

Protect data at the field level both in-transit and at rest with tokenization, encryption, and masking so attackers cannot use it, even if they access it.
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Shadow data, misconfigured identities, and raw logs are where breaches begin.
Learn how DataStealth gives you full visibility and applies real data-layer protection across AWS, Azure, and GCP, without rewriting applications.

Get expert guidance, industry updates, emerging threats, and practical strategies to help protect sensitive data and reduce risk.

Meet with our team for a full review of our solution and deployment methodology as your next step in your data protection and risk migitation journey.
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