Safety and Patient-Data Leakage Testing for Healthcare Chatbots

• Chief Medical Information Officer
• CISO or Head of IT Security
• Head of Digital Health Products
• Chief Medical Officer

Hospitals and health-tech companies are launching chatbots that answer patient questions, explain reports, book appointments and handle insurance queries. In healthcare, a confident wrong answer or a missed warning sign can harm a patient, and a bot connected to records can leak someone else's reports. Generic AI testing checks for neither with clinical judgement.

We test your healthcare chatbot or voice bot before launch and after major changes. With your clinicians, we write scenario playbooks for your use: medicine and dose questions, symptoms that should trigger escalation, crisis statements, report explanations and insurance queries, in English, Hindi, Hinglish and your regional languages. We run them as multi-turn conversations with rising pressure, alongside security tests for prompt injection, system prompt extraction and attempts to reach other patients' data through tools and retrieval. Each conversation is graded PASS, RISK or FAIL, and every safety-relevant grade is confirmed by your clinicians. You get the evidence, practical fixes and a retest.

• Scenario playbooks co-written with clinicians for medicines, symptoms, crises, reports and billing
• Multi-turn adversarial conversations in English, Hindi, Hinglish and regional languages
• Emergency and crisis escalation testing against your defined escalation path
• Cross-patient data access testing through identity checks, tools and retrieval
• Prompt injection tests through uploaded reports and free-text fields
• PASS, RISK and FAIL evidence mapped to OWASP Top 10 for LLM Applications and NIST AI RMF

1. 01Define safe behaviourWe agree the bot's intended use and, with your clinicians, what a safe response looks like for each scenario type.
2. 02Build playbooksScenario playbooks and attack cases are written for your languages, specialties and integrations.
3. 03Run conversationsAutomated and manual multi-turn conversations run against a staging bot with synthetic patient records.
4. 04Grade resultsEach conversation is graded PASS, RISK or FAIL, and clinicians confirm the safety-relevant grades.
5. 05Report and fixFindings with transcripts, severity and fixes go to your product, clinical and security leads.
6. 06RetestAfter fixes, failed scenarios are rerun and the results recorded for launch approval.

1. Playbooks
   • Clinical safety scenarios
   • Security and privacy attack cases
   • Language and code-mixed variants
2. Test runner and target
   • Conversation runner for chat and voice
   • Staging chatbot or voice bot
   • Synthetic patient records and test accounts
3. Grading
   • Automated policy and leakage checks
   • Clinician review panel
4. Reporting
   • PASS, RISK and FAIL evidence report
   • Remediation and retest tracker

Your clinicians define safe behaviour and confirm every safety-relevant grade, and our testers validate every security finding. The decision to launch stays with your clinical and product leadership.

• Staging environment of the chatbot or voice bot
• Telephony test numbers for voice bots
• LLM provider or gateway logs
• Jira or a similar tracker for findings
• CI pipeline for regression runs

• Synthetic patient data only; no real records used in testing
• Clinical grading done by qualified clinicians, never by a model alone
• Crisis and self-harm scenarios written and reviewed with clinicians
• Rules of engagement with stop conditions and rate limits
• Transcripts and evidence encrypted and deleted at the end of the agreed retention period

• Helps evidence pre-launch testing and risk management in line with NIST AI RMF and the OWASP Top 10 for LLM Applications.
• Patient-data leakage testing supports your security safeguards under the DPDP Act 2023, and HIPAA safeguards for US deployments.
• Bots that give diagnostic or treatment recommendations may fall under medical device rules, so the report highlights any responses that cross that line.

• Healthcare & Hospitals

  Patient Enquiry Follow-Up Automation

  Bring patient enquiries from web forms, WhatsApp, ads and missed calls into one queue, reply promptly with approved information, collect reports and route each enquiry to the right counsellor.

• Healthcare & Hospitals

  Appointment Booking and Reminder Voice Agent

  A Hindi, English and regional-language voice agent that books, reschedules and cancels OPD appointments against live doctor schedules and calls patients with reminders.

• SaaS & AI Product Companies

  Voice Agent Adversarial Testing

  Adversarial test calls to your voice agent in English, Hindi and Hinglish: identity bypass, data disclosure, off-script promises and speech-layer flaws, with PASS, RISK and FAIL evidence.

• SaaS & AI Product Companies

  RAG Data-Leakage and Access-Control Testing

  Test whether your RAG pipeline leaks documents across users, roles or tenants through retrieval, caching, citations or logs, using seeded canary documents and role-based test personas.