Datiphy Announces Data Behavior Model Engine to Protect Sensitive Data
Startup enables detection of possible database threats and high-risk behaviors
San Jose, CA. – Datiphy Inc., a pioneering startup in data-centric audit and behavioral forensic analysis announced today the availability of their complimentary Risk Assessment Report (RAR) http://220.127.116.11 to identify the risk profile of organizations.
“Our Patented Behavioral Risk Analytics Engine takes into account access anomalies, vulnerabilities, and threats to give an overall risk score of your organization,” said Nam Wu, Vice President, Product Management, Datiphy. “Organizations managing sensitive data need to drive business decisions through risk metrics and risk assessments.”
Whether a database houses critical data in Healthcare, Finance, Government, or Enterprise the cost of data breaches have been rising exponentially. The faster an organization can detect and block malicious activity, the faster they will be able to recover their losses. This new technology is non-intrusive and can formulate behavioral patterns prior to a hacker taking complete control of infrastructure.
“The Datiphy Risk Assessment Report continuously analyzes all data transaction activities and provides anomalies information and risk reports at user definable intervals allowing security professionals to get a high-level view of their own risks and vulnerabilities,” said Ted Ho, CEO, Datiphy. “This gives users concerned with data breaches at the application and database level a starting point for improving defenses.”
Founded in 2015 in San Jose, CA, the Datiphy solution assigns a risk score to every piece of sensitive data within an organization. The key technology is its Adaptive Data Behavioral Model™ (also called DatiDNA™) which provides risk assessments by analyzing database transactions in real-time. Our highly scalable solution consists of Host and Network Agents that deliver in-depth activity monitoring of databases. The enterprise level platform uses behavioral analytics, and data-centric auditing and protection capabilities to mitigate risk.