Top Protegrity Usa, Inc. Alternatives, Competitors & Similar Software

Data Science and Machine Learning Platforms

TrustArc Inc. is a privacy compliance and data protection solutions provider. The company was founded in 1997 and is headquartered in San Francisco, California. TrustArc's platform helps businesses manage privacy and data protection risks by offering a range of services including data mapping, risk assessments, and compliance management. The platform also provides automation tools to help businesses streamline their privacy compliance programs, including cookie consent management, data subject access request processing, and vendor risk management. TrustArc's solutions are used by businesses of all sizes across various industries, including financial services, healthcare, and technology, to address privacy and data protection requirements and build customer trust. The company's mission is to help businesses protect and respect individual privacy rights while enabling innovation and digital transformation.

Data Science and Machine Learning Platforms

BigID is a company that specializes in data privacy and protection. Its platform uses advanced machine learning algorithms to help organizations discover, inventory, and manage sensitive and personal data across various data sources, and comply with regulations such as GDPR and CCPA.

Data Science and Machine Learning Platforms

Developer of enterprise data management software intended to help businesses reduce their sensitive data footprint. The company's software focuses on discovering, classifying, monitoring and protecting personal information, medical records, credit card numbers, and intellectual property stored across the enterprise, within the e-mail, and in the cloud, and specializes in the high-precision search and automated classification of unstructured data, enabling clients in the healthcare, public sector, retail, education, financial services, energy, industrial, and entertainment markets to proactively minimize the risks, costs and reputational damage of successful cyber attacks