ROT Data Minimization
Improve AI Efficacy While Reducing Cost & Risk

In this quick brief, you’ll learn about:

  • The top reasons why ROT is a ticking time bomb.
  • How Securiti turns ROT data into real business value.
  • The practical two-phase approach to mitigating ROT and driving business outcomes.

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Award-winning technology, built by a proven team, backed by confidence. Learn more.


Around $10 to $30M goes completely wasted annually while managing redundant, obsolete, and trivial (ROT) data.

ROT data is a serious business concern that could result in data breaches, hefty fines, and increased operational costs. In that, ROT expands the attack surface due to the presence of sensitive data, increases unnecessary storage costs, and, more importantly, heavily affects the accuracy and efficacy of AI initiatives.

Download the quick brief to gain valuable insights into how Securiti helps enterprises transform ROT data into actual business value, enabling them to minimize risks, reduce costs, and accelerate AI initiatives.

Data Minimization

Frequently Asked Questions (FAQs):

ROT (Redundant, Obsolete, Trivial) data is unnecessary data that adds no value but increases storage costs, security risks, and compliance challenges.

ROT data expands the attack surface by exposing sensitive information that is often unmonitored, making it easier for breaches to occur.

Enterprises can waste $10 to 30 million annually on storing and managing ROT data, along with additional costs from inefficiencies and potential breaches.

Poor-quality and outdated data can skew AI models, reducing accuracy, reliability, and overall effectiveness of AI-driven outcomes.

By adopting a structured approach that includes automated data discovery, classification, and remediation to eliminate unnecessary data and improve governance.

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