Secure and protect
sensitive health data
from unauthorized
access and disclosures
AffectLog can help identify patterns and anomalies in healthcare data, which can help to identify potential security threats or vulnerabilities. AffectLog’s machine learning algorithms analyze data from electronic health records (EHRs) to detect patterns of suspicious activity, such as unauthorized access or data breaches.
Assess compliance
realtime with
AffectLog scans
The AffectLog platform can be used to generate and schedule reports on the compliance status of healthcare applications, highlighting any areas of non-compliance and providing recommendations for improvement. AffectLog tests the access controls in healthcare applications to ensure that only authorized users can access patient data.
Scanning
Protocols
Logging
AffectLog scans healthcare applications for compliance and tests the privacy controls in healthcare applications to ensure that patient data is protected from unauthorized access or disclosure. AffectLog encodes the encryption protocol tests to ensure that patient data is properly secured.
AffectLog extends security
framework to AI services
AffectLog tests the access controls in healthcare applications to ensure that only authorized users can access patient data. AffectLog can be used to review the audit and logging capabilities of healthcare applications to ensure that all access to patient data is tracked and recorded.
The platform allows testing of the incident response capabilities of healthcare applications to ensure that they are prepared to handle a security breach. AffectLog generates reports on the compliance status of healthcare applications, highlighting any areas of non-compliance and providing recommendations for improvement.
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