Informatica uses behavioral analytics to spot and protect high risk data
With increasing amounts of sensitive data stored in the cloud and accessed on mobile devices, protecting that information presents a major challenge.
Data management specialist Informatica is adding to its Secure@Source platform with behavioral analytics to detect high risk data and ensure it's properly protected.
Key features include automated and integrated sensitive data discovery, proliferation analysis, detection of anomalous user activities, multi-factor data risk analytics, and automated orchestration of remediation in a single platform.
It covers cloud, Hadoop and legacy environments, and can support diverse and complex data classifications, proliferation and risk analytics, user access and activity correlation, user behavior analytics (UBA) and orchestration support for a full range of data protection technologies.
Secure@Source is aimed at helping businesses achieve reduced risk of data breaches and misuse through more proactive and intelligent sensitive data risk monitoring. It also offers increased support for data privacy compliance mandates such as GDPR, HIPAA and FINRA, plus low total cost of ownership thanks to a comprehensive single platform.
"Despite all the time, effort and billions, maybe trillions, of dollars spent, security is not working. Security breaches are still on the rise because most organizations are taking the wrong approach; they are focused on securing the end-points," says Amit Walia, executive vice president and chief product officer of Informatica. "Informatica is taking a unique approach with Secure@Source. 'Detect and Protect' represents the next generation of data security intelligence because it is securing data at its source. Secure@Source is a uniquely unified, data-centric security solution that empowers organizations to quickly and accurately assess where they need to focus investments and resources to reduce the escalating risk of data breaches and misuse."
You can find out more on the Informatica website.