AI Risk for Healthcare

Let your teams use AI without putting patient data at risk

Clinicians, billing teams, and staff are already pasting patient information into AI tools. KonaSense gives you the visibility and controls to keep PHI protected while your people move faster.

A clinician using AI safely while patient records stay protected by KonaSense.

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Where AI Creates Risk in Healthcare

AI adoption in healthcare is happening with or without approval. Every prompt, upload, and copied note is a chance for protected health information to leave your control.

PHI exposure in everyday prompts

Staff paste patient names, diagnoses, and notes into public AI tools to summarize or draft. That data can be stored and used to train models outside your control.

HIPAA and audit gaps

When AI use is invisible, you cannot prove how patient data was handled. Auditors and partners increasingly ask for AI governance evidence you do not have.

Shadow AI across clinical and back office

Dozens of AI tools and browser extensions enter through clinicians, billing, and admin staff. Most are never reviewed by security or compliance.

Unsafe file uploads

Lab results, imaging notes, and spreadsheets get uploaded to AI assistants. A single upload can expose hundreds of patient records at once.

How KonaSense Closes the Gap

KonaSense protects patient data at the point of use, so your teams keep the productivity of AI while compliance keeps the evidence it needs.

Observability

Continuous, real-time visibility into every AI interaction across the organization, whether it comes from a person or an agent.

  • Map every AI tool, extension, and model in use
  • Adoption analytics by team, role, and location
  • Behavioral drift and anomaly detection
  • Investigation-grade session replay
  • Token and spend tracking across models

Security

Real-time protection against data exposure, prompt injection, and unsafe AI behavior, enforced at the point of use.

  • Detect and redact PII, secrets, and source code
  • Block prompt injection from files and RAG sources
  • Enforce shadow AI policies with block or redirect
  • Automated incident triage and containment
  • Credential and API key detection in prompts

Governance

Policy control, compliance evidence, and human-in-the-loop oversight across every AI workflow.

  • Role and department-aligned policy controls
  • Human-in-the-loop approval workflows
  • Data classification across all AI interactions
  • Audit-ready bundles for SOC 2 and ISO 27001
  • Board-ready AI risk reporting
KonaSense Skills

Skills, Not Just DLP

DLP matches patterns in data and asks one question: is something sensitive here. KonaSense Skills understand the intent, role, and consequence behind each AI interaction, so they can block, coach, or require human approval based on what is actually happening. Skills are configurable to the specific challenges of your business.

Human in the Loop Clinical Guard

Human approval

High stakes clinical decisions being offloaded to general AI

Example prompt

Based on these vitals and labs, which ICU patient should I step down to free a bed tonight?

KonaSense recognizes a life impacting triage decision being delegated to a general purpose model. It pauses the interaction, routes it to a licensed clinician for review, strips the PHI, and records the event for compliance.

Why DLP misses it

A DLP tool would at most redact the patient identifiers. It cannot see that an unvalidated model is being asked to make a clinical triage call.

PHI Disclosure Coach

Coach

Staff pasting patient records into public AI to save time

Example prompt

Summarize this discharge note for the family: John Reyes, MRN 88412, CHF, admitted...

KonaSense redacts the identifiers inline and coaches the user toward the approved, HIPAA aligned assistant before the prompt ever reaches a public tool.

Why DLP misses it

Pattern based DLP can flag an MRN, but it will not guide the clinician to a safe workflow or explain why the action is risky.

One Control Plane. Every AI Surface.

KonaSense sensors intercept AI interactions wherever they happen, with no code changes required and deployment in under a day.

Browser Extension

Chrome and Edge sensor covering ChatGPT, Gemini, Copilot, Claude, and more than 50 AI tools. It intercepts prompts, uploads, and responses in real time with block, redact, and coach actions at the point of use.

Kona for Agents

Real-time governance for developer AI agents across VS Code, Claude Code, GitHub Copilot, Cursor, and Gemini CLI. It intercepts tool calls and agent actions before execution with cryptographic audit evidence.

KonaProxy for Desktop

Local proxy that routes native AI traffic from ChatGPT Desktop and similar tools through the Control Plane. You get full policy enforcement with no cloud dependency for traffic routing.

Protect patient data without slowing care

Get the AI Risk Brief for Healthcare and see how leading providers govern AI use while staying HIPAA aligned.