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.
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.
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.
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 the AI tools, extensions, and models in use across the browser
- 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
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.
KonaSense sensors capture AI interactions in managed browsers and supported coding agents, with no code changes required and deployment in under a day.
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.
More information →Real-time governance for developer AI agents across VS Code, Claude Code, GitHub Copilot, Cursor, Codex, and Codex CLI. It intercepts tool calls and agent actions before execution with cryptographic audit evidence.
More information →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.