- Healthcare
Protect Sensitive Healthcare Data
Before It Leaves
Navigate the new frontier of medical AI without compromising HIPAA compliance. Sentinel Health provides real-time governance for LLM interactions and clinical data integrity.
AI Usage in Healthcare Is Growing Without Control
Sensitive patient records are often inadvertently fed into public AI systems, leading to serious PII exposure and violations of core privacy mandates. At the same time, organizations face a lack of visibility into how data is being shared or used across workflows, making it difficult to detect risks in real time.
Manual processes further increase the problem – fatigue and human error can result in missed fields, where even a single overlooked data point can cause major compliance failures. Together, these gaps can lead to significant regulatory consequences, including HIPAA and GDPR violations and costly fines from unmonitored data transmission to third-party systems.
Built for Healthcare AI Security
SecurePledge helps healthcare organizations control, monitor, and protect AI usage across all workflows – without disrupting productivity.
AI Usage in Healthcare Is Growing Without Control
As clinical teams leverage generative tools, the perimeter of Protected Health Information (PHI) has effectively vanished.
USE CASE 01
Prevent PHI Exposure
THE PROBLEM
Accidental sharing of patient records with public AI chatbots during
clinical research.
OUR SOLUTION
Real-time LLM interceptors that scan prompt content for NPI, DOB,
and medical identifiers.
THE BENEFIT
Continuous HIPAA compliance without blocking clinician productivity.
USE CASE 02
Clinical Document Processing
THE PROBLEM
Documents containing sensitive healthcare information are often shared with external parties, tools, and AI models, creating a risk of unintended data exposure.metadata exposed.
OUR SOLUTION
Automated, highly accurate, and superfast redaction that sanitizes documents before they reach the intended recipient.
THE BENEFIT
Complete peace of mind while sharing information with external parties, tools, or AI models. Zero risk of data breaches.
USE CASE 03
Prepare Data for AI Research
THE PROBLEM
Clinical datasets used for research often contain sensitive identifiers that cannot be exposed.
OUR SOLUTION
Automated detection and redaction of identifiers before datasets are used in AI models or shared externally.
THE BENEFIT
Safe and compliant use of healthcare data for research and innovation.
Secure Your AI Interactions Today
Join the list of organizations taking control of AI usage by protecting sensitive data and enforcing security across every interaction.