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.
Solutions by industry
AI security built for your industry
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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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.
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.
Skills, Not Just DLP
DLP matches patterns in data and asks one question: is something sensitive here. KonaSense Skills evaluate the context, 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.
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 responseKonaSense 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 itA 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.
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 responseKonaSense 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 itPattern 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 for human and agentic AI.
See how employees use AI in the browser, govern what coding agents can access and execute, and capture audit-ready evidence in one platform.
Kona for Browser
Browser observability and security for every AI interaction
Secure prompts, uploads, and copy-paste activity across managed Chrome and Edge environments.
Shadow AI discovery · Data controls · Incident investigation
More information →Kona for Agents
Real-time governance for AI coding agents
Governance for desktop copilots, coding agents, and autonomous workflows your team runs.
Pre-execution controls · Action governance · Human approval
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