ID-REDACT® helps to make you Data Privacy Compliant

It is time to Safeguard the sensitive and personal data of Government, Enterprises and SMEs, to comply with the new regulation DPDP Act 2023, this will not only help in acting as the first line of defence against cybercrime but helps in protecting privacy.

Consumers and businesses alike are becoming increasingly aware of the risks associated with data breaches and privacy violations. This has led to a greater demand for robust data protection solutions. The market for sensitive data protection, data masking included, continues to evolve with technologies designed to redact or in some way deidentify PII in order to protect it against confidentiality or privacy risk.

Emerging global, federal, and state data privacy laws are driving an economic infrastructure change. Significant punitive penalties exist and continue to increase for enterprises that do not comply with federal and/or global data privacy laws. Considering the severe reputational, financial, and legal implications at risk, as well as the exponential increase in consumer’s private information being transmitted electronically each year, safeguarding that data is a compliance priority.

ID-RedactTM product uses advanced AI/ML models and algorithms with supercomputer-based data accelerators to improve efficiency and accurately control the proliferation and incidental PII data leaks within and across organizations to help meet global, federal, and state-level compliance mandates. ID-Redact is a highly integrated product framework that deploys operationally resulting in immediate ROI. The framework-based product affords flexibility to apply policy changes and redeploy the model within days versus months.

ID-Redact engine redacts sensitive and personal information from unstructured data (e.g., emails, PDF, Word, Excel, PowerPoint), as well as semi-structured and structured data. The AI/ML algorithms and models embedded within ID-Redact engine is proven to achieve 99.54% hyper-accuracy to detect, identify, confirm, tag and redact PII from unstructured, semi-structured and structured data. The policy rules engine in our framework-based product is designed to ensure PII compliance with GDPR, NIST, PCI, CCPA, HIPAA, POPIA, COPPA and other global, federal, and state-level data privacy laws.

Cognitively redacts sensitive and personal data within unstructured, semi- structured, and structured data ecosystem as a first line of defense to secure PII data and meet compliance specifications. Rules engine automates intellective application of policy change updates to meet GDPR, NIST and CCPA compliance.

Data Safeguard’s ID-Redact product is a disruptor to the antiquated laborious and manual methods for PII ( Personal Identity Informations) data redaction help customers achieve data redaction compliance.