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AI Risk for Healthcare

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.

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

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.

Critical

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.

Critical

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.

High

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.

High

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.

Skills, não apenas DLP

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 GuardHuman approval

High stakes clinical decisions being offloaded to general AI

Exemplo de prompt

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

Resposta da KonaSense

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.

Por que o DLP não pega isso

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 CoachCoach

Staff pasting patient records into public AI to save time

Exemplo de prompt

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

Resposta da KonaSense

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

Por que o DLP não pega isso

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.

Uma plataforma para toda superfície de AI.

O Kona se integra às ferramentas que seus times já usam, modelos, IDEs, navegadores, SIEMs, e revela um grafo operacional de cada interação com IA.

Kona for Browsers

Observabilidade e segurança de navegador para cada interação com GenAI para cada interação com IA

Proteja cada prompt, upload e copy-paste dentro do Chrome, Edge e de todo navegador que seu time usa. Visibilidade de Shadow AI incluída.

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Kona for Agents

Governança em tempo real para
agentes de codificação com IA

Governança para os copilotos de desktop, agentes de codificação e workflows autônomos em execução nos seus endpoints.

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