Gives valuable insights without the risk of exposing sensitive data.
We’ll Future-Proof Your Business and Customer Data
Privly is a no-code platform that anonymizes sensitive data, ensuring secure usage and sharing without exposing Personally Identifiable Information (PII). It seamlessly integrates into workflows, providing robust data protection and compliance with privacy regulations through its advanced poly-anonymization techniques.
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Desired Outcomes
Eliminating sensitive data exposure.
Effortless Regulatory Compliance
Privly automates the anonymization of sensitive information, helping your organization meet evolving data protection regulations like GDPR and CCPA, reducing the risk of penalties while maintaining compliance.
Secure Data Aggregation and Sharing
Privly’s robust anonymization techniques allow your organization to securely aggregate and share data across departments and systems. This enhances decision-making and operational efficiency without compromising sensitive data.
Integrity-Preserved Anonymization
Privly’s advanced anonymization methods ensure that data remains accurate and usable for analysis while protecting sensitive information. This enables your organization to gain valuable insights without the risk of exposing sensitive data.
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Challenges
Ensuring compliance with developing data protection laws requires constant vigilance.
Ensuring Compliance With Evolving Data Protection Laws
According to a survey by IAPP and EY, 54% of organizations found GDPR compliance to be their most challenging regulatory requirement. Organizations must continuously adapt to laws like GDPR and CCPA to avoid penalties and demonstrate their commitment to data protection.
Protecting Sensitive Information During Data Aggregation and Sharing
Forrester research suggests that 80% of security breaches involve privileged credentials, often during data aggregation and sharing. Ensuring robust anonymization techniques during these processes is crucial to utilizing data without compromising security.
Maintaining Data Integrity While Anonymizing PII
A study by the Electronic Frontier Foundation shows that advanced anonymization methods can preserve up to 98% of data utility, compared to 60% with traditional methods. Advanced techniques keep anonymized data accurate and useful while securing PII.
Compliance Training for Legal and Regulatory Challenges
To enhance operational and strategic success, prioritizing training guards against legal risks, and builds trusts with stakeholders. This ensures sustainable growth and resilience in a regularly changing regulatory landscape. Companies with inadequate training non-compliance and associated penalties.
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