Datiphy Inc. provides a data behavior analysis and security platform that utilizes its DatiDNA technology to monitor and analyze database transactions in real-time. This enables organizations to detect potential data breaches and ensure compliance with regulations such as GDPR and HIPAA, thereby protecting sensitive information across on-premises and cloud environments.
Funding
$7.5M 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
Organizations face challenges in protecting sensitive data within databases due to the complexity of modern IT environments and the increasing sophistication of cyberattacks. Traditional security measures often fail to detect breaches in real-time, leaving databases vulnerable to exfiltration and unauthorized access. Compliance with regulations like GDPR, HIPAA, and PCI DSS requires continuous monitoring and auditing of data activity, which can be difficult to achieve with conventional tools.
Solution
Datiphy provides a data behavior analysis and security platform that leverages its DatiDNA technology to monitor and analyze database transactions in real-time. The platform uses pattern matching and machine learning to profile users and entities, detecting potential threats and anomalous activities. By capturing and indexing every database transaction, Datiphy establishes baselines, eliminates false alarms, and provides a data-centric view of business operations. This enables organizations to discover breaches as they unfold, assess risk, ensure compliance, and conduct forensic investigations.
Target Audience
Datiphy's primary customers are enterprises managing sensitive data in corporate databases, network, servers, and private or public clouds, particularly those in regulated industries such as healthcare, finance, and telecommunications.
Features
- Real-time monitoring and analysis of database transactions using DatiDNA technology
- Adaptive Data Behavioral Model (DatiDNA) for risk assessments of database transactions
- Preconfigured threat intelligence rules and risk metrics included out-of-the-box
- Pattern matching and machine learning to profile users and entities
- Automated indexing of data assets for easy search and retrieval
- Cross-silo policy management for visibility into breaches across multiple data silos
- Seamless integration with Splunk, ELK, SIEM, and PowerBI
- Compliance reporting for GDPR, PCI, HIPAA, SOX, ISO, and SOC2