AI Security for Healthcare and Life Sciences

F5 ADSP | January 01, 2025

AI is transforming healthcare and science — from clinical copilots and patient engagement chatbots to diagnostics, drug discovery and research assistants. But these high-value use cases also create critical risks:

  • Exposure of patient PII, health records, or genomic data
  • Prompt injections manipulating diagnostic or treatment recommendations
  • Hallucinated or biased outputs leading to harmful medical decisions
  • Limited visibility into how AI models behave in regulated healthcare workflows

Our AI runtime security solutions secure the Healthcare & Life Sciences vertical with Red Team to validate, Guardrails to protect, and inbuilt Observability to govern AI deployments.

Red Team: Validate Clinical & Research AI

F5 AI Red Team, previously named Inference Red-Team, stress-tests AI tools before they are used in sensitive healthcare or scientific environments.

  • Agentic Resistance: Multi-turn adversarial campaigns simulating attempts to extract PHI or alter clinical guidance.
  • Signature & Operational Attacks: 50,000+ evolving exploits expose vulnerabilities in clinical documentation, patient chatbots, and research copilots.
  • Healthcare-Specific Validation: Ensures AI is resilient against misuse that could compromise patient safety, trial data, or regulatory compliance.

Outcome for Providers & Researchers: AI tools are validated and hardened before use in life-critical contexts.

Guardrails: Real-Time Protection for Patient & Research Data

Once deployed, F5 AI Guardrails, previously named Inference Defend, safeguards live healthcare and life sciences applications in real time.

  • Data Protection: Blocks leakage of protected health information (PHI), lab results, clinical notes, or proprietary research data.
  • Stop Adversarial Exploits: Prevents prompt injections and jailbreaks that could alter treatment recommendations or trial results.
  • Customizable Policies: Security rules align with HIPAA, GDPR, FDA, and international healthcare standards.

Outcome for Providers & Researchers: Secure, compliant AI copilots that protect patient privacy and scientific integrity.

Observability: Oversight & Accountability in Healthcare AI

In highly regulated healthcare and life sciences environments, traceability is non-negotiable. Our inbuilt observability features deliver enterprise-wide visibility and defensibility.

  • Global Dashboards: A centralized view of AI usage and security events to enable compliance across the entire organization.
  • Audit-Ready Logs: Capture every AI interaction to support HIPAA audits, FDA reviews, or clinical trial documentation.
  • Policy Enforcement: Flags outputs that violate healthcare regulations, scientific protocols, or ethical standards.

Outcome for Providers & Researchers: Transparent, accountable AI usage that meets regulatory and ethical obligations.

ComprehensiveAI Security for Healthcare & Life Sciences

With RedTeam, Guardrails, and inbuilt Observability, healthcare and science organizations gain:

  • Patient Data Protection: Ensures PHI and sensitive trial data remain secure.
  • Regulatory Compliance: Simplifies adherence to HIPAA, GDPR, FDA, and EMA standards.
  • Risk Reduction: Prevents harmful or manipulated AI outputs in clinical or scientific contexts.
  • Trust & Innovation: Enables safe AI adoption to improve patient outcomes and accelerate discovery.

AI Security Available as SaaS Point Solutions

AI Red Team and AI Guardrails can be deployed individually as software point solutions or together as a unified platform. This flexibility enables healthcare providers, pharmaceutical companies, and life sciences organizations to secure AI adoption across patient care, research, and operations.

The Bottom Line

Our suite of AI runtime security solutions secures the Healthcare & Life Sciences vertical by validating, protecting, and governing AI-driven care, research, and engagement — empowering organizations to innovate responsibly while safeguarding patients, data, and compliance.

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