Bot Detection for
Healthcare & Telehealth
Healthcare platforms store the most sensitive personal data. Bots target patient portals, prescription systems, and telehealth APIs — and regulatory penalties for breaches are severe.
Bot Threats Facing Healthcare Platforms
Medical records sell for 10–40× more than credit card numbers on dark web markets. Healthcare is a high-value, high-regulation target.
Patient Portal Credential Stuffing
Attackers reuse leaked credentials against patient portals to access medical records, insurance details, and billing information. A single breach exposes PHI for thousands of patients.
Prescription Fraud
Bots exploit telehealth platforms to obtain controlled substance prescriptions at scale. They create fake patient accounts, schedule automated appointments, and game prescription refill systems.
Medical Record Scraping
Automated tools scrape patient directories, provider listings, and health information portals. Stolen PHI fuels identity theft, insurance fraud, and social engineering attacks.
Appointment Hoarding
Scalper bots reserve telehealth and specialist appointment slots in bulk, then sell them or let them expire. Legitimate patients face artificial scarcity for critical care.
Insurance Fraud & Fake Claims
Automated account creation enables synthetic identities to file fraudulent insurance claims. Bots generate fake patients with real-seeming histories to extract benefits at scale.
FHIR/HL7 API Abuse
Health data interoperability APIs (FHIR, HL7) are targeted for unauthorized bulk data extraction. Bots probe API endpoints for patient records, lab results, and clinical data.
How IPASIS Protects Healthcare Platforms
Add IP intelligence as a pre-authentication security layer. No patient-facing friction. HIPAA-compatible — we process IP addresses, not PHI.
Patient Portal Protection
Score every login attempt before the patient authenticates. IPs from datacenters, VPNs, and known botnets trigger step-up verification — protecting accounts without frustrating real patients.
Telehealth Session Verification
Verify that telehealth patients connect from expected geographic regions. Flag sessions originating from proxy infrastructure that may indicate prescription fraud schemes.
Registration Fraud Prevention
During patient account creation, detect residential proxies, datacenter IPs, and geo-location mismatches. Prevent mass fake account creation that fuels prescription and insurance fraud.
API Endpoint Hardening
Protect FHIR and HL7 endpoints from unauthorized bulk queries. Rate-limit and flag requests from suspicious IP ranges to prevent patient data exfiltration through interoperability APIs.
const axios = require('axios');
async function checkPatientLoginRisk(ip, patientId) {
const { data: risk } = await axios.get(
`https://api.ipasis.com/check?ip=${ip}`,
{ headers: { 'X-API-Key': IPASIS_KEY } }
);
// Audit log (HIPAA: log access attempts)
await auditLog({
event: 'LOGIN_ATTEMPT',
patientId,
ip,
riskLevel: risk.risk_level,
ipType: risk.ip_type,
timestamp: new Date().toISOString()
});
if (risk.trust_score < 20) {
// Datacenter / Tor — likely automated
return {
action: 'BLOCK',
reason: 'high_risk_infrastructure',
requireMFA: true,
alertSecurityTeam: true
};
}
if (risk.is_proxy || risk.is_vpn) {
// Anonymized — could be legitimate
// but require additional verification
return {
action: 'STEP_UP',
requireMFA: true,
verifyIdentity: true
};
}
if (risk.trust_score < 50) {
return {
action: 'ALLOW_WITH_MFA',
requireMFA: true
};
}
// Clean residential IP
return { action: 'ALLOW' };
}Why IP Intelligence Matters for Healthcare
HIPAA-Compatible by Design
IPASIS processes IP addresses — not Protected Health Information. Your PHI never leaves your infrastructure. IP intelligence is a network-layer signal that operates independently of patient data.
This means you can add bot detection without expanding your BAA scope or modifying your data processing agreements.
Pre-Authentication Security
IP risk scoring happens before the user enters any credentials. This blocks credential stuffing attacks at the network layer — before attackers even reach your authentication system.
For patient portals handling PHI, stopping attacks before authentication prevents exposure entirely, not just after the fact.
Telehealth Fraud Detection
Verify that patients booking telehealth appointments are connecting from plausible locations. A "patient" registering with a US address but connecting from a datacenter in Eastern Europe is a red flag.
Cross-reference IP geo-location with patient registration data to catch prescription fraud rings operating through anonymized infrastructure.
Breach Cost Reduction
Healthcare data breaches cost an average of $10.93M per incident — the highest of any industry. HIPAA penalties range from $100 to $50,000 per violation, up to $1.5M per year.
Preventing automated attacks at the network layer is orders of magnitude cheaper than breach remediation, notification requirements, and regulatory fines.
Where to Deploy in Your Healthcare Platform
Patient Portals
Pre-auth risk scoring for MyChart, Epic, and custom portals. Step-up verification for suspicious IPs.
Telehealth Apps
Verify patient location and flag anonymized connections during virtual care sessions.
E-Prescribing
Add IP risk signals to prescription workflows. Flag automated prescription requests from bot infrastructure.
Health Data APIs
Protect FHIR, HL7, and interoperability endpoints from unauthorized data extraction.
Protect Your Healthcare Platform Today
1,000 free requests per day. Sub-20ms latency. HIPAA-compatible — zero PHI processed.
More industries:
Healthcare Security Resources
Detect Bots on Login Pages
Stop credential stuffing attacks at the authentication layer with IP risk scoring.
Mitigating Credential Stuffing with IP Intelligence
How IP-level signals stop automated login attacks before they reach your auth system.
Fraud Prevention Solutions
Comprehensive fraud prevention across industries using real-time IP intelligence.