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HealthTech Security Solutions

Your Patient Data is Being Stolen. Healthcare systems are prime targets for cyber criminals. 89% of healthcare organizations experienced data breaches. Patient records sell for $250+ each. HIPAA violations cost $16M average. Plexicus protects medical data from devices to cloud.

PATIENT MONITOR
BREACHES
72 BPM
BP
120/80
SECURITY BREACH DETECTED
PHI Access Unauthorized
$10.93M breach cost
12+ device vulnerabilities
$16M HIPAA fines

HealthTech Attack Surface

Understanding the complex healthcare data ecosystem and its vulnerabilities

Patient Data Flow

This visualization maps the critical journey of patient data within a healthcare system, highlighting key components where information is created, stored, analyzed, and shared.

Patient
The journey of patient information from collection to analysis is a critical attack surface. Protecting this data is paramount to ensuring patient privacy and safety.
Vulnerabilities
PHI LeakIdentity TheftPrivacy Breach
Electronic Health Records (EHR)
EHR systems are the central repository for patient data. Their APIs and databases are frequent targets for attackers seeking to exfiltrate or corrupt sensitive information.
Vulnerabilities
API VulnSQL InjectionAccess Control
Healthcare Analytics Systems
Data analytics platforms use vast datasets to generate insights. Attacks on these systems can introduce malicious data, leading to biased or manipulated diagnostic outcomes.
Vulnerabilities
ML BiasData PoisoningModel Theft
Telemedicine Platforms
The rise of telemedicine has created new vectors for attack. Compromising these video sessions can lead to privacy breaches and man-in-the-middle attacks.
Vulnerabilities
Video HackSession HijackMITM Attack
Medical Billing Systems
Billing systems handle a mix of patient and financial data. Exploiting these can lead to payment fraud, identity theft, and exposure of personally identifiable information (PII).
Vulnerabilities
PII ExpoPayment FraudInsurance Fraud

Healthcare Security Reality

The numbers don't lie - medical breaches are devastating

Patient Data Exposure

Understanding the risks and impact of patient data breaches in healthcare.

0M
patient records breached in 2023
$0M
HIPAA fine for single incident (Anthem)
0%
of breaches due to hacking/IT incidents
0+ years
to resolve medical identity theft

Medical Device Vulnerabilities

Highlighting the security vulnerabilities present in connected medical devices.

0
vulnerabilities per IoT device (average)
CVE-2019-10952
Critical infusion pump vulnerability
Unencrypted
Wi-Fi protocols in patient monitors
admin/admin
Default credentials in imaging systems
$0M
OCR HIPAA fines in 2023
0%
increase in Business Associate violations
$0M
extra cost for breach notification delays
$0M
average penalties for audit failures

Compliance Failures

Addressing the challenges and costs associated with HIPAA compliance failures.

Real HealthTech Vulnerabilities

Common security flaws that expose patient health information

FHIR API Security Issues
Unauthorized access and PHI exposure in healthcare APIs
BEFOREAFTER
secure-fhir-api.js
✅ SECURE CONFIGURATION
1// ✅ Secure FHIR API implementation
2app.get('solution-pages.healthtech./api/fhir/Patient/:id',
3 authenticate,
4 authorize(['read:patient']),
5 validatePatientAccess,
6 (req, res) => {
7
8 // Parameterized query to prevent SQL injection
9 const query = 'SELECT id, name, dob FROM patients WHERE id = ? AND authorized_user = ?';
10
11 // Secure audit logging (no PHI)
12 auditLog.info({
13 action: 'patient_access',
14 user_id: req.user.id,
15 patient_id: req.params.id,
16 timestamp: new Date().toISOString(),
17 ip_address: req.ip
18 });
19
20 db.query(query, [req.params.id, req.user.id], (err, result) => {
21 if (err) {
22 auditLog.error('Database error during patient access', { user_id: req.user.id });
23 return res.status(500).json({ error: 'Access denied' });
24 }
25
26 if (!result.length) {
27 return res.status(404).json({ error: 'Patient not found or access denied' });
28 }
29
30 // Return only authorized, sanitized data
31 res.json({
32 resourceType: 'Patient',
33 id: result[0].id,
34 name: result[0].name,
35 birthDate: result[0].dob
36 // No sensitive PHI exposed
37 });
38 });
39});
Lines: 39Security: PASSED
vulnerable-fhir-api.js
❌ VULNERABLE CONFIGURATION
1// ❌ Vulnerable FHIR API endpoint
2app.get('solution-pages.healthtech./api/fhir/Patient/:id', (req, res) => {
3 // No authorization check
4 // SQL injection possible
5 const query = `SELECT * FROM patients WHERE id = ${req.params.id}`;
6
7 // PHI exposed in logs
8 console.log(`Accessing patient: ${req.params.id}`);
9
10 db.query(query, (err, result) => {
11 if (err) {
12 console.log('Database error:', err);
13 return res.status(500).json({ error: 'Database error' });
14 }
15
16 // Returning all patient data including sensitive PHI
17 res.json({
18 patient: result[0],
19 ssn: result[0].ssn,
20 medical_history: result[0].medical_history,
21 insurance_info: result[0].insurance_info
22 });
23 });
24});
Lines: 24Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW
PHI Data Integrity Violations
Inadequate protection and validation of patient health information
BEFOREAFTER
secure-phi-handling.py
✅ SECURE CONFIGURATION
1# ✅ Secure PHI handling with integrity validation
2import hashlib
3import datetime
4from cryptography.fernet import Fernet
5 
6def update_patient_record_secure(patient_id, new_data, user_id):
7 # Validate user authorization
8 if not has_update_permission(user_id, patient_id):
9 audit_log_security_event('solution-pages.healthtech.unauthorized_update_attempt', user_id, patient_id)
10 raise PermissionError("Insufficient permissions")
11
12 # Get current record for integrity check
13 current_record = get_patient_record_secure(patient_id)
14 original_hash = calculate_phi_hash(current_record)
15
16 # Encrypt sensitive data
17 encrypted_data = encrypt_phi(new_data)
18
19 # Use parameterized query
20 query = "UPDATE patients SET medical_history = ?, updated_by = ?, updated_at = ? WHERE id = ?"
21 cursor.execute(query, (encrypted_data, user_id, datetime.datetime.now(), patient_id))
22
23 # Verify integrity after update
24 updated_record = get_patient_record_secure(patient_id)
25 new_hash = calculate_phi_hash(updated_record)
26
27 # Secure audit logging (no PHI)
28 audit_log_phi_access({
29 'action': 'record_update',
30 'patient_id': patient_id,
31 'user_id': user_id,
32 'timestamp': datetime.datetime.now(),
33 'original_hash': original_hash,
34 'new_hash': new_hash
35 })
36
37 return "Record updated securely"
38 
39def access_patient_data_secure(patient_id, user_id, requested_fields):
40 # Verify minimum necessary access
41 authorized_fields = get_authorized_fields(user_id, patient_id)
42 allowed_fields = set(requested_fields) & set(authorized_fields)
43
44 if not allowed_fields:
45 raise PermissionError("No authorized fields requested")
46
47 # Build secure query with only authorized fields
48 field_list = ', '.join(allowed_fields)
49 query = f"SELECT {field_list} FROM patients WHERE id = ?"
50 result = cursor.execute(query, (patient_id,)).fetchone()
51
52 # Return only authorized, decrypted data
53 decrypted_result = {}
54 for i, field in enumerate(allowed_fields):
55 if field in ENCRYPTED_FIELDS:
56 decrypted_result[field] = decrypt_phi(result[i])
57 else:
58 decrypted_result[field] = result[i]
59
60 # Audit the access
61 audit_log_phi_access({
62 'action': 'data_access',
63 'patient_id': patient_id,
64 'user_id': user_id,
65 'fields_accessed': list(allowed_fields),
66 'timestamp': datetime.datetime.now()
67 })
68
69 return decrypted_result
Lines: 69Security: PASSED
vulnerable-phi-handling.py
❌ VULNERABLE CONFIGURATION
1# ❌ Vulnerable PHI handling
2def update_patient_record(patient_id, new_data):
3 # No integrity validation
4 # No audit trail
5 # Direct database update without checks
6
7 query = f"UPDATE patients SET medical_history = '{new_data}' WHERE id = {patient_id}"
8 cursor.execute(query)
9
10 # PHI logged in plaintext
11 print(f"Updated patient {patient_id} with data: {new_data}")
12
13 return "Record updated successfully"
14 
15def access_patient_data(patient_id, user_id):
16 # No access control validation
17 # No minimum necessary principle
18 query = f"SELECT * FROM patients WHERE id = {patient_id}"
19 result = cursor.execute(query).fetchone()
20
21 # Return all data regardless of user permissions
22 return {
23 'patient_id': result[0],
24 'name': result[1],
25 'ssn': result[2],
26 'medical_history': result[3],
27 'insurance_info': result[4],
28 'mental_health_notes': result[5]
29 }
Lines: 29Security: FAILED

VULNERABLE

Security Issues:HIGH
Risk Level:CRITICAL

SECURED

Security Issues:NONE
Risk Level:LOW

HIPAA Security Safeguards

Automated compliance validation for healthcare standards

Access Control
Unique user identification required
Emergency access procedure defined
Automatic logoff: 15 minutes idle
Encryption/decryption: AES-256
access_control:
  unique_user_identification: required
  emergency_access_procedure: defined
  automatic_logoff: 15_minutes_idle
  encryption_decryption: aes_256

Medical Device Security

FDA-compliant security validation for connected medical devices

FDA Requirements
Premarket cybersecurity plan
Software Bill of Materials (SBOM)
Post-market surveillance
Vulnerability disclosure policy
IEC 62304 Compliance
<medical_device_software>
  <classification>Class_B</classification>
  <safety_requirements>
    <risk_analysis>iso_14971</risk_analysis>
    <software_lifecycle>iec_62304</software_lifecycle>
    <cybersecurity>fda_guidance</cybersecurity>
  </safety_requirements>
</medical_device_software>
Network Segmentation
Corporate Network
Administrative systems and general IT infrastructure
DMZ/Web Apps
Patient portals and external-facing applications
Medical Device VLAN
Isolated network for medical devices
EHR/Core Systems
Electronic health records and core healthcare systems
IoT Device Network
Medical IoT devices with restricted access
Healthcare Network Architecture

Corporate Network

Administrative systems and general IT infrastructure

DMZ/Web Apps

Patient portals and external-facing applications

Medical Device VLAN

Isolated network for medical devices

EHR/Core Systems

Electronic health records and core healthcare systems

IoT Device Network

Medical IoT devices with restricted access

All traffic monitored & encrypted

HealthTech-Specific Use Cases

Security solutions tailored for healthcare platforms

Electronic Health Records (EHR)
Database vulnerability scanning
API security testing
SQL injection prevention
PHI leakage detection
Telemedicine Platforms
Video encryption validation
Authentication bypass testing
Session management security
Mobile app vulnerabilities
Health Analytics/AI
Model bias detection
Data poisoning prevention
Privacy-preserving ML
De-identification validation
Medical IoT Devices
Firmware vulnerability scanning
Default credential detection
Communication protocol security
Update mechanism validation
Compliance Automation

Automated Compliance Monitoring

Real-time compliance assessment and automated reporting for healthcare security standards

HIPAA Risk Assessment
# Automated HIPAA compliance check via API
curl -X GET "https://api.plexicus.com/compliance/report?framework=hipaa&entity=covered_entity" \
FDA Medical Device Controls
Software lifecycle documentation
Compliant
Risk management documentation
Compliant
Cybersecurity risk analysis
Attention Required
Post-market surveillance procedures
Compliant

HealthTech Security Testing

Automated vulnerability scanning for healthcare platforms

HIPAA Compliance Check
curl -X GET "https://api.plexicus.com/compliance/report?framework=hipaa&entity=covered_entity" \
  -H "Authorization: Bearer ${PLEXICUS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "request": "create-repo",
    "request_id": "healthtech-scan-001",
    "extra_data": {
      "repository_name": "patient-portal",
      "industry": "healthcare",
      "data_types": ["phi", "pii", "medical"],
      "compliance_frameworks": ["hipaa", "hitech", "fda"]
    }
  }'

Healthcare application vulnerability assessment targeting sensitive data types:

PHI Data
Medical records, diagnoses
PII
SSN, addresses, insurance
Medical
Lab results, prescriptions
Compliance
HIPAA, HITECH, FDA
HealthTech Vulnerability Results
{
  "data": [
    {
      "id": "finding-health-001",
      "type": "finding",
      "attributes": {
        "title": "PHI Exposed in API Response",
        "description": "Patient Social Security Numbers returned in plaintext API response",
        "severity": "critical",
        "file_path": "src/api/PatientController.java",
        "original_line": 89,
        "tool": "checkmarx",
        "cve": "CWE-359",
        "cvssv3_score": 9.3,
        "false_positive": false,
        "remediation_notes": "Implement field-level encryption and data masking for PHI"
      }
    },
    {
      "id": "finding-health-002",
      "type": "finding",
      "attributes": {
        "title": "Medical Device Default Credentials",
        "description": "Infusion pump accessible with default admin/admin credentials",
        "severity": "critical",
        "file_path": "config/device-config.xml",
        "original_line": 12,
        "tool": "nessus",
        "cve": "CWE-798",
        "cvssv3_score": 8.8,
        "false_positive": false,
        "remediation_notes": "Force password change on first login and implement strong authentication"
      }
    }
  ],
  "meta": {
    "total_findings": 156,
    "critical": 23,
    "high": 45,
    "medium": 67,
    "low": 21
  }
}
23
Critical
45
High
67
Medium
21
Low

Cost of Healthcare Breaches

Investment vs. potential losses in healthcare security

$24K annually
Automated HIPAA compliance
$0 additional
Continuous security monitoring
$0 additional
Medical device scanning
90% breach reduction
Proactive threat prevention

Total Annual Investment

Total: $288K annual investment

ROI: 97% risk reduction, $12.96M savings

Transform your security posture and save millions in potential breach costs

Healthcare Compliance Automation

Automated compliance validation for healthcare standards

HIPAA Security Rule
Health Insurance Portability and Accountability Act
Administrative Safeguardscompliant
11 standards
Physical Safeguardscompliant
4 standards
Technical Safeguardscompliant
5 standards
Organizational Requirementscompliant
2 standards
FDA Medical Device Cybersecurity
Food and Drug Administration Guidelines
Premarket Submissionscompliant
510(k), PMA, De Novo
Quality System Regulationcompliant
QSR
Post-market Guidancewarning
Cybersecurity
Medical Device Reportingcompliant
MDR
Healthcare Industry Standards
Additional Healthcare Security Frameworks
NIST Cybersecurity Frameworkcompliant
Healthcare
HITRUST CSFcompliant
Common Security Framework
ISO 27001warning
Healthcare Implementation
DICOM Security Profilescompliant
Medical Imaging
Real-Time Compliance Monitoring
96.8%
HIPAA Compliance Score
24/7
PHI Monitoring
Auto
Audit Logging
156
Devices Monitored

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