Agentic AI in Health-Tech and Healthcare, Part 1

Agentic AI is changing how health-tech companies and healthcare providers use AI across clinical, operational, and patient-facing workflows. As AI systems move from answering questions to recommending, deciding, using tools, and taking action, healthcare AI security has to expand with them. This is Part 1 of our two-part healthcare whitepaper series, covering where agentic AI and AI agents are being used today, the security and safety risks that emerge as they gain access to sensitive data and systems, and how healthcare security teams can discover, test, defend, and contain AI as its authority grows.

Inside Agentic AI in Health-Tech and Healthcare, Part 2 report:

• See where AI and AI agents are being used in healthcare across mental health, chronic care, diagnostics, medication guidance, claims, care management, consumer health, and internal enterprise workflows.
• Understand the security risks of agentic AI as systems move from informing people to recommending, deciding, using tools, and taking action.
• Explore the healthcare AI attack surface, including applications, models, sensitive data, APIs, tools, MCP servers, and Agent Skills.
• Learn how healthcare teams can secure AI systems with AI discovery, adversarial testing and red teaming, runtime defense, and human-controlled containment.
• Prepare for threats such as prompt injection, data exfiltration, tool misuse, excessive permissions, and unauthorized actions.
• Use the Healthcare CISO’s Agentic AI Checklist to assess AI visibility, identity and permissions, testing, runtime security, evidence, failure behavior, and human control.

Part 1 showed where AI is being used. Part 2 shows what security teams are finding once they start trying to secure it.