HEALTHCARE

Protect personal health information and stop data breaches

Working to secure medical records and billing information, DTEX helps Healthcare organizations identify risk early by analyzing all activities before data can be exfiltrated.

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Reasons for a proactive insider risk

posture in heathcare

Nearly half of breaches in Healthcare are attributed to internal threat actors

Stop fraud and identity theft before it results in a data breach

Following regulatory compliance alone is not enough

Protect valuable patient data

With so many breaches in healthcare because of insiders, protecting against insider threats requires solutions that discern legitimate use from malicious intent. With volumes of patient data accessed all the time, a careless mistake or a malicious insider can wreak havoc. DTEX provides visibility to all actions taken by all users, even privileged users like system administrators. It simplifies compliance with HIPAA, PIPEDA, and GDPR by maintaining evidentiary quality forensic logs of all actions taken on all data.

Protect data and user privacy

DTEX protects against insider threats while protecting user privacy. Raw data fields, including username, email, IP address, domain name and device name, are tokenized with DTEX patented Pseudonymization. When evidence indicates a threat, select privileged DTEX users can de-anonymize user identities for investigations.

Identify and maintain evidence with forensics that stand up

Healthcare organizations benefit from always-on auditing for rapid, evidence-based forensic investigations which have led to successful prosecution of bad actors across international jurisdictions. DTEX is built to identify sensitive data and protect against leaks by providing real-time detection, visibility and a full audit trail.

Critical featuresfor healthcare professionals

Simplify the security stack and gain the visibility needed to stop data leaks.

Dynamic Risk Scores

Analyze and baseline user behavior by role, department and geography and creates dynamic risk scores to accurately identify deviations.

Complete Data File Lineage

Full history of every file – in use, in motion, and at rest – on and off network to understand all content usage and modifications.

Inferred File Sensitivity & Classification

Data sensitivity algorithms apply classification labels and address content creator behavior to reinforce data labeling.

GenAI Tool Use

HTTP inspection capabilities detect interactions with generative AI chat sites to stop unauthorized sharing of sensitive information.

AI-driven Investigations

Guided investigations answer questions about who is risky and most importantly, why. This is key because the ‘why’ helps determine an appropriate response.

One-click Reporting

Insight into business risk with executive and analyst reports that include recommendations to avoid data loss events. Technical detail is summarized graphically for easy understanding, key take aways, and immediate action.

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What industry peers are saying

Prior to DTEX, we were reactionary. Instead of preventing instances, we were recovering from them, so the potential for loss of data was much higher. The potential that we wouldn’t be able to identify and correlate an event that happened six months ago to an event that happened today changed the potential severity of the escalation.”
Director of Insider RiskPharmaceuticals

Dtex was extremely easy to get set up and operational in our environment. The onboarding process was quick, and tech support was exceptional. We immediately benefited from the project within two weeks of initial deployment.”
Director of Information Technology Healthcare and Biotech

Privacy Guidance for Multinational Organizations

Insider Risk Management (IRM) and the monitoring of employee activities in the workplace is now recognized as a core security requirement for many multinational organizations

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