Chorology.ai offers an AI-powered compliance engine that automates data discovery, classification, and risk assessment to ensure adherence to global regulatory mandates. The platform significantly reduces the financial and operational burdens associated with data compliance and security posture management, enabling organizations to efficiently manage sensitive data across various repositories.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises face increasing challenges in managing and securing sensitive data due to growing data volumes, expanding regulatory mandates, and rising internal and external threats. Existing data compliance and security solutions often lack comprehensive visibility and automation, leading to increased operational costs and potential compliance violations.
Solution
Chorology.ai offers an AI-powered data compliance and security posture management platform (CAPE) that automates data discovery, classification, mapping, and risk assessment. CAPE uses a domain-specific language model to identify and classify sensitive data across on-premises and cloud repositories without extensive pre-processing. The platform provides a comprehensive framework for managing data sprawl, protecting sensitive data, and ensuring compliance with evolving regulations. By automating key data governance tasks, Chorology.ai reduces the total cost of data ownership and enables organizations to proactively manage their data security posture.
Target Audience
Chorology.ai targets enterprises, including Fortune 500 companies, that need to manage and secure sensitive data to comply with global regulatory mandates and reduce the risk of data breaches.
Features
- Automated data discovery engine to identify complex data objects across various repositories
- AI-powered data classification engine to automatically classify sensitive data based on compliance requirements
- Sophisticated data mapping engine to create a comprehensive data map using AI algorithms
- Risk quantification and remediation mechanisms to assess and mitigate the financial risk of sensitive data
- Support for various compliance mandates, including GDPR, CCPA, PCI, HIPAA, PDPB, and PDPL
- Deep-AI engine that bridges the gap between regulatory mandates and practical compliance implementation
- Natural language query capabilities for cybersecurity and IT teams to easily govern data