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Cybersecurity for Healthcare

Protect patient data from healthcare fraud and access abuse

Detect insider threats and account takeovers across EHR systems instantly

CrossClassify for Medical Technologies
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Stats on Healthcare Breaches

82%

Healthcare Cyberattacks

Most healthcare organizations experienced a cyberattack recently, with the most expensive incident costing over $4.7 million

180M

UnitedHealth Breach

Millions were affected in the UnitedHealth-Change Healthcare breach; the incident cost UnitedHealth approximately $3.09 billion in response-related expenses.

$0.0M

Healthcare Data Breach Cost

Average cost of a healthcare data breach; per-record cost averages $408, nearly 3x the global average.

Why Healthcare Data Security Matters

Delayed or Incorrect Care icon

Healthcare data is a top target for cybercriminals

Medical records, patient identities, and insurance data are worth more than financial info on the black market. Without real-time healthcare fraud detection, attackers exploit gaps in session monitoring and identity validation.

Medical Fraud

Account takeover in EHR systems is rising fast

Threat actors bypass login defenses and access EHR platforms, manipulating patient records and extracting sensitive health data. Traditional login-based security can’t prevent post-login fraud, you need behavioral analysis and session-level visibility.

Privacy Violations

Healthcare bots and fake accounts inflate billing fraud

Bad actors use automation to open fake patient profiles, schedule appointments, or submit fraudulent claims. A robust bot detection and account opening fraud prevention solution is critical to cut operational waste.

Identity Theft

Insider threats drive costly HIPAA violations

Many breaches come from internal misuse of healthcare systems by overprivileged staff or third parties. Only continuous monitoring and risk scoring can detect this abuse before sensitive data is exposed.

Solution

Issues We Resolve

We protect your app from the most prevalent cyber attacks

Secure Against Healthcare Account Takeover

Reduces account takeover fraud by 60% through behavior-based, healthcare-specific login monitoring.

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99%

Of U.S. hospitals were targeted by credential phishing or ATO attempts

$9.77M

Is the average cost of a healthcare ATO breach in recent years

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How We Prevent Account Takeover

Learn More  ❯

Prevent identity theft and data breaches caused by unauthorized access to user accounts. Account Takeover (ATO) attacks exploit vulnerabilities using tactics like impersonation, keylogging, smishing and phishing, and session hijacking, putting sensitive information and trust at risk.

Learn More  ❯

Continuous Monitoring for Healthcare Systems

CrossClassify provides continuous monitoring across critical healthcare systems like EHR platforms, patient portals, and insurance apps. It detects anomalies throughout the session,not just at login, making it effective against post-login fraud, record tampering, and insider misuse. This proactive approach protects sensitive patient data and helps maintain compliance with regulations like HIPAA.
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Behavior Analysis in Clinical Environments

Our platform uses behavior analysis to profile how healthcare staff and patients interact with systems like EHRs, e-prescription tools, andadmin dashboards. By understanding natural patterns, we quickly detect insider threats, fraudulent behavior, and even bot-like access. This enables early intervention without disrupting care workflows.
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Link Analysis for Medical Fraud Rings

Our link analysis tool maps hidden relationships between fraudulent patient accounts, shared devices, and reused credentials. It detects patterns across login attempts and access behaviors that often indicate fraud networks, billing scams, or account takeover campaigns in large healthcare environments. This helps organizations break the chain of fraud early.
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Geo Analysis of Healthcare Access Points

CrossClassify’s geo analysis feature identifies and blocks geolocation anomalies during patient or staff access events. By tracking IPs, devices, and locations, we flag suspicious logins, such as cross-border access, TOR nodes, or shared credential misuse. This helps prevent account takeover and protects systems like telehealth platforms and remote EHRs.
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Enhanced Security and Accuracy for Healthcare

Healthcare organizations need fraud prevention tools that balance high security with operational accuracy. CrossClassify uses AI-driven risk scoring, behavioral context, and domain-specific intelligence to reduce false positives in sensitive systems like billing, insurance verification, and EHR access. This ensures patient trust and regulatory compliance remain intact.
Enhanced Security and Accuracy for Healthcare

Seamless Integration with Healthcare Platforms

CrossClassify integrates easily with major EHR systems, health insurance APIs, patient portals, and telemedicine applications. Our HIPAA-compliant SDKs and APIs allow you to deploy fraud detection at login, account creation, and transactional checkpoints with minimal code. Integration takes days, not months.
Seamless Integration with Healthcare Platforms

Alerting and Notification for Healthcare Threats

CrossClassify’s intelligent alerting system notifies fraud and compliance teams in real time when risky activity occurs, such as unauthorized record access, abnormal billing patterns, or geolocation mismatches. Alerts can be routed to SIEMs, case management systems, or healthcare-specific dashboards for rapid response.
 Alerting and Notification for Healthcare Threats

Compliance

From Compliance to Care

General Data Protection Regulation (GDPR)

  • Meta Platforms: Fined €91 million for improper storage of user passwords, contributing to a total of €2.5 billion in GDPR-related fines.

  • Clearview AI: The Dutch data protection authority imposed a €30.5 million fine for creating an unauthorized facial recognition database.

General Data Protection Regulation (GDPR)

Health Insurance Portability and Accountability Act (HIPAA)

  • Warby Parker: The eyewear company agreed to a $1.5 million civil monetary penalty for alleged HIPAA violations related to unauthorized disclosures of protected health information.

  • Providence Medical Institute: Faced a $240,000 fine for potential HIPAA non-compliance concerning patient data security. Amazon Europe

Health Insurance Portability and Accountability Act (HIPAA)
Medical

Why Us

Choose CrossClassify for Healthcare Products

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Superior Healthcare Fraud Detection

Superior Healthcare Fraud Detection

We use adaptive real-time monitoring, behavioral biometrics, and device intelligence to catch post-login fraud and account takeover in EHR systems, where traditional tools fail to see.

HIPAA-Compliant Risk Scoring

HIPAA-Compliant Risk Scoring

Our risk-based authentication balances security with patient experience, designed for HIPAA-compliant healthcare apps like telehealth, patient portals, and billing systems.

Designed for Healthcare Complexity

Designed for Healthcare Complexity

Unlike standard fraud tools, we focus on threats like medical identity theft, telehealth abuse, and insurance fraud through behavioral analysis tuned to clinical workflows and billing patterns.

Trusted by the Australian HL7 FHIR Community and Healthcare Companies

Gartner
Gartner
EBA
EBA
Helifie

“Most tools focus on sign-up or authentication—but we were still seeing fraud after MFA. CrossClassify helped us surface post-login behavior anomalies we didn’t even know to look for. Within 30 days, we caught 4 fraudulent user sessions that had passed MFA undetected.

Their behavior-layer insights are now a core part of how we protect sensitive workflows.”

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Nick Chang

Chief Operating Officer at Helfie

Touch stone

“We had WAF, MFA, and everything in place—but insider threats and session-level abuse were still slipping through. CrossClassify changed that. Their continuous monitoring helped us flag 3 suspicious staff sessions and two patient-side anomalies within the first two weeks.

The best part? We didn’t touch a single line of our MFA or WAF setup—it just worked alongside them.”

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Dr Merran Cooper

CEO Touchstone Life Care

Frequently asked questions

Account takeover in healthcare happens when fraudsters access EHR platforms, billing portals, or patient dashboards using stolen credentials. Learn how session-level detection works in our article on The Anatomy of Account Takeover.

We detect account opening fraud using device fingerprinting, behavioral context, and network linkage. See how we stop synthetic ID fraud in Device Fingerprinting in Fraud Prevention.

Yes, our fraud engine supports HIPAA, HITECH, and GDPR standards with encrypted, anonymized behavior tracking. Learn more in Fraud Risk Management for Compliance-Driven Environments .

CrossClassify uses behavioral biometrics to spot unusual navigation, typing patterns, and login behavior. Learn how it works in Behavioral Biometrics in Fraud Detection.

Yes. We detect automated attacks on telemedicine platforms using bot signatures, movement analysis, and device profiling. See real-time risk strategies in The Anatomy of Account Takeover.

It means watching real-time user sessions, not just logins. We detect post-login fraud, EHR tampering, and insider threats. Read the full approach in Continuous Adaptive Risk and Trust Assessment.

Yes. We analyze staff behavior and flag abnormal access to medical records, billing systems, or restricted areas. Learn more in Fraud Risk Management.

Deploy in days, not months. Our lightweight SDK integrates with most EHR platforms, insurance apps, and telehealth tools. See the integration workflow in How It Works.

Yes. We track session behavior and billing pattern anomalies to stop upcoding, duplicate claims, or abuse. Read the guide in Fraud Risk Management.

We map relationships between fake accounts, shared IPs, and fraud rings. Learn how CrossClassify visualizes fraud clusters in The Anatomy of Account Takeover.
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Let’s Get Started

Elevate your Healthcare app's security with CrossClassify. Schedule a personalized demo to see how we protect customer accounts and ensure compliance with industry standards.

CrossClassify

Fraud Detection System for Web and Mobile Apps

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Contact+61 424-202-328hello@crossclassify.com

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25 King St, Bowen
Hills, Brisbane QLD
4006, Australia


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