Cybersecurity for Healthcare
Block Healthcare Fraud in Real Time
Go beyond MFA. Catch threats hiding inside sessions and records.
Stats on Healthcare Breaches
$0.0B
Healthcare Fraud Detection
Healthcare fraud detection market projected to grow from $1.6B in 2023.
+229%
Increase in Breaches
Healthcare security breaches surged 239% from 2018 to 2023.
57%
Faced Ransomware Attacks
In 2024, 67% of healthcare organizations reported being hit.
Why Healthcare Data Security Matters
Patient Records Attract Sophisticated Fraud
Healthcare data is more valuable than credit card info on the dark web. Attackers use stolen medical records for insurance fraud, identity theft, and blackmail.
MFA and WAF Aren’t Enough for EHRs
Most fraud starts after login. Traditional defenses can’t stop insider threats or abnormal behavior inside patient portals and EMR systems.
Insider Threats Are Hard to Detect
Internal staff can access sensitive records without raising alarms. CrossClassify monitors user behavior to detect unusual access patterns and prevent abuse.
Healthcare Must Meet Strict Compliance Standards
Regulations like HIPAA require more than basic firewalls. Behavioral monitoring and real-time alerts help ensure audit readiness and data integrity.
Short Posts
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Solution
Issues We Resolve
We protect your app from the most prevalent cyber attacks
Stop unauthorized access to sensitive medical data after login.
Reduces account takeover incidents by up to 70% through behavioral post-login protection.
Book a Demo$10.93 M
The average cost of a healthcare data breach (IBM, 2023)
62%
Of organizations experienced an ATO breach in 2024 (Proofpoint)
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 →Behavior Analysis for Healthcare Accounts
Detect anomalies in user behavior across EHRs and patient portals.
Continuous Patient/Staff Access Monitoring
Monitor post-login activity to detect insider threats and patient record misuse.
Geo Intelligence for Health Systems
Flag suspicious access based on patient or provider location patterns.
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.
Health Insurance Portability and Accountability Act (HIPAA)
Warby Parker (2025): 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 (2024): Faced a $240,000 fine for potential HIPAA non-compliance concerning patient data security. Amazon Europe
Protects Patient Portals Continuously
Traditional security stops at login. We monitor behavior inside patient portals to block fraud post-authentication.
Detects Medical Identity Fraud
We catch fake patient profiles and synthetic IDs before they can exploit your systems or resources.
Compliance-Ready from Day One
Stay aligned with HIPAA and HITECH by using tools built for secure, auditable user monitoring.
Trusted by the Australian HL7 FHIR Community and Healthcare Companies
“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.”
Nick Chang
Chief Operating Officer at Helfie
“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.”
Dr Merran Cooper
CEO Touchstone Life Care
Frequently asked questions
Healthcare cybersecurity refers to the protection of electronic health records (EHRs), patient data, medical devices, and healthcare systems from cyber threats such as ransomware, data breaches, and fraud. It ensures confidentiality, integrity, and availability of sensitive health data.
Healthcare is a prime target because patient data is highly valuable on the black market. Unlike credit cards, health records can’t be easily canceled. In addition, healthcare systems often run outdated software and rely on interconnected IoT devices—making them more vulnerable.
Common threats include:
- Ransomware attacks on hospitals and clinics
- Phishing targeting staff credentials
- Insider threats (intentional or accidental)
- IoT and medical device vulnerabilities
- Account takeover (ATO) and fake patient profiles
CrossClassify mitigates these with real-time behavior analysis and device fingerprinting.
Best practices include:
- Implement behavioral risk-based authentication
- Use device fingerprinting to prevent ATO and fake account creation
- Conduct regular security training for staff
- Enforce multi-factor authentication (MFA)
- Monitor for anomalies and suspicious login activity in real time
IoT devices (like pacemakers, monitors, or smart beds) often have limited security features and are difficult to patch. If compromised, they can serve as entry points for network-wide attacks or expose sensitive data.
Healthcare organizations store large volumes of sensitive data, are often understaffed in IT security, and require high system uptime. Attackers exploit these weaknesses—knowing that hospitals may pay ransoms to restore critical operations quickly.
Key monitoring signals include:
- New logins from unknown devices
- Suspicious access patterns or location anomalies
- Failed login velocity or brute force attempts
CrossClassify’s AI models detect and block high-risk behaviors instantly—keeping systems secure without harming patient experience.
Key regulations include:
- HIPAA (Health Insurance Portability and Accountability Act) in the U.S.
- GDPR (General Data Protection Regulation) for EU patient data
- HITECH Act, NIST, and ISO 27799 guidelines
Complying with these requires strong access controls, audit trails, and breach detection systems.
To pass a cybersecurity audit:
- Maintain detailed logs of data access
- Document risk assessments and mitigation plans
- Apply least-privilege access controls
- Use endpoint monitoring and real-time alerting
CrossClassify supports audit-readiness through continuous user behavior analytics and reporting.
CrossClassify provides advanced fraud detection tailored for healthcare. Our platform stops:
- Account misuse and data leaks
- Fake patient account creation
- Apply least-privilege access controls
- Credential-based ATO attacks
Using AI, device fingerprinting, and behavioral analytics, we help healthcare providers stay secure, compliant, and trusted.
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.
