Healthcare organizations have some of the most challenging environments to secure. They have geographically dispersed clinical locations, large amounts of sensitive patient and financial data, a range of transitory mobile devices and users, connected life-saving medical devices (known as the Internet of Medical Things, or IoMT), and numerous healthcare applications and systems.
At the same time, this industry has some of the strictest data protection regulations, with HIPAA, HITECH, and PCI DSS among the regulatory guardrails. Compliance is a constant challenge; especially as so much sensitive data is required to be stored in Electronic Health Records (EHRs).
- Prevent patient record “snooping” – viewing medical records of friends, family, neighbors
- Detect and stop sensitive data exfiltration to personal ids, competition or bad actors
- Protect medical records
- Block unauthorized access to patient data from unrelated departments (e.g. pediatrics nurse accessing records from neurology)
- Detect access to medical devices from suspicious devices, users and network IP addresses
Utilizing machine learning and trained on a massive database of real-world incidents, the Gurucul platform is constantly learning from the environment it’s protecting, whether it’s IT or IoMT, on premise, in the cloud, or hybrid.
Gurucul works with numerous healthcare organizations and has radically impacted these organizations ability to protect patient privacy, secure medical devices and stop malware / ransomware from detonating.
The platform integrates with the most common EMR / Health Care Applications out-of-the-box, including ADP, AllScripts, Cerner, EPIC, and GE Centricity.
Organizations looking to combine user behavioral analysis (UBA) with medical device security will find Gurucul possesses the products and vision to bring this capability to market, giving healthcare organizations the ability to identify insider risks involving both traditional IT assets and medical/enterprise IoT devices.
- The Forrester New Wave™: Connected Medical Device Security, Q2 2020
Top Healthcare Use Cases
Ransomware is a huge threat to healthcare organizations worldwide. At least 39 ransomware groups are actively targeting the sector, according to the CyberPeace Institute. Critical data is not only being encrypted by these groups but also stolen and posted for sale on the Dark Web. Gurucul’s risk analytics engine stops the malicious payload at download. Even if the fileless malware were to successfully download onto an endpoint, the additional steps of running scripts and running exploits and attacks in memory can be stopped.
Patient Privacy Protection
Gurucul enables healthcare providers to identify high-risk profiles with risk-based analytics, data mining, anomaly and behavior detection. EHR data is correlated with other data like DLP and data classification information to uncover essential data locations, access, and application activity.
Healthcare Provider and Consumer Fraud
Prevent healthcare provider fraud by identifying providers who are falsifying provided services, prescribing unnecessary drugs, reporting incorrect diagnoses or procedures, and more. Detect consumer fraud by identifying healthcare members who are availing medical services using a stolen identity, submitting false claims, consistently diverting an insignificant amount of disbursement funds to a fraudulent account, and more.
Medical Device Discovery & Monitoring
Identify the various kinds of medical devices on the network. Detect anomalous behaviors associated with devices that may be targets of ransomware or malware attacks. Determine when to safely patch medical devices by understanding their usage patterns. Predict when devices are about to malfunction and need to be serviced or replaced.
Privileged Access Abuse
Privileged accounts are prone to social engineering (phishing), account takeovers, and other theft techniques that allow an attacker to misuse legitimate permissions in order to perform malicious actions. Gurucul allows you to detect anomalous access to sensitive data which is not consistent with normal employee behavior.
Guarantee security of health information. Demonstrate privacy surrounding the use of individually identifiable health information. Record and examine access and activity in information systems that contain or use e-PHI. Automatically generate compliance and governance reports from numerous out-of-the-box templates: HIPAA, HITECH, PCI DSS, SOX and others.