Datiphy Announces Integration with Splunk to Enhance Data Visibility
Enable a greater level of granular visibility into database system log streams
San Jose, CA. – Datiphy Inc., a pioneering startup in data-centric audit and behavioral forensic analysis announced today the availability of an add-on designed to enhance the way Splunk is able to expand in-depth and complete database activity monitoring, policy management, and integrated event alerts of all data in motion.
With Datiphy DatiDNA included into the system log stream, security analysts will gain a greater level of granular visibility into their database transactions. The ultimate goal is to reduce the enterprise’s database risk exposure.
“This value added application allows current Splunk log management users to receive the complete scope of details associated with database assets, events, and transactions,” said Nam Wu, Vice President, Product Management, Datiphy, “Datiphy’s agent takes into account all access anomalies, vulnerabilities, and threats to give an in-depth overview of database risks.”
Organizations that have Splunk deployment tools and log management systems can greatly enhance visibility into their sensitive data repositories by adapting Datiphy’s smart agent into the Splunk Universal Forwarder. Security analysts and auditors (both internal and external) can utilize the data generated by our DataDNA to prioritize a defensive plan and to create mitigating controls.
The Datiphy + Splunk Add-On is available immediately as a downloadable 30-day trial instance enabling log gathering to be sent directly to Splunk Search Heads for security analysts and database administrators to review.
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.