Healthcare is in a transformative state. With data sources on the rise, giving providers the ability to mine information giving unparalleled benefits to their users. This data explosion comes at a cost. Increased regulatory compliance with PHI and GDPR regulations and more extensive data theft by hackers who also wish to profit from the valuable data.
With ShieldIO’s New Age KeyStore-less Homomorphic encryption, healthcare providers can use their full data with sensitive patient data remaining encrypted to deliver higher quality care while reducing cost with confidence that patient data is protected and compliant with privacy regulations. Data is secured without disruption to healthcare providers ability to mine the data for information, enabling them to deliver better more advanced services to their patients.
Protecting patient information while allowing sharing and accessing data anywhere, anytime and with any device
Drugs trial data needs to be anonymized and secured. While not impeding on the results of the trial
Deliver new business mode ls to monetize data which might include sensitive patient information
More agile and quicker time to market drives the need to move data and applications from on premise to the cloud
Increased global personal health data security regulations & compliance obligations impacting an ever increasing local and off-shore work force
New and create external attacks to access patient health details
Unlimited access by internal Privileged users to all data including sensitive and confidential information
Internal employees and contracts malicious or accidental access
Local and offshore developers/testers requiring full data access for accurate development and testing
Comply with government and industry regulation and
Reduce the risk of sensitive data loss or misuse internally
Elevate Healthcare Breach Concerns at the Core by Securing Patient Health Information (PHI) on Premise, in the Cloud, or Hyper-cloud Environments While Opening the Encrypted Data for Use
Get in touch with ShieldIO and try the demo with your own data.