Secure AI in care delivery. Keep PHI inside the lines.
Nightfall stops patient records, PHI, and clinical data from leaving through AI agents, copilots, SaaS, email, and endpoints — and gives you the evidence HIPAA auditors and OCR investigators ask for.
AI changed how care gets documented. Your DLP didn’t notice.
Control what AI agents access, execute, and expose. Secure how employees use AI applications — without slowing the business down.
Clinicians draft in copilots now.
Models, deal memos, and client data get pasted into ChatGPT, Copilot, and Gemini every day. Legacy DLP inspects files and email — not prompts.
Agents act on your data.
MCP servers and AI agents read the EHR, the inbox, and shared drives and take actions on their own. No BAA covers what they can access or send.
Sharing is the new exfiltration.
One Drive link, one Teams channel, one Zendesk ticket — PHI leaves without a file ever being “downloaded.”
Where healthcare security teams
start with Nightfall
Secure AI and agents
Govern what staff paste into AI tools and what agents can access and expose — inline, before PHI leaves.
Replace legacy DLP
Retire Symantec, Forcepoint, or Purview DLP with coverage for SaaS and AI, fewer false positives on clinical text, and no appliances.
Stop exfiltration and insider risk
Catch patient records and credentials moving to personal accounts, USB, or unsanctioned apps — with full lineage for the breach-risk assessment.
Four risks every healthcare CISO is being asked about
PHI is shared with the wrong party
Staff forward patient records to the wrong recipient, a personal inbox, or an outside provider without a BAA — for convenience or by mistake. Legacy DLP finds out after the data has left.
%201.svg){kind=icon}
What Nightfall does
Contextual policies weigh sender, recipient domain, content, and lineage, then block or redact in real time — and record who shared what, where, and when.
Outcome
Keep care teams collaborating while cutting reportable disclosures — with the record ready if OCR asks.
Shadow AI and agents touch PHI
Clinicians and coders use AI tools with no BAA to draft notes and appeals; agents connected through MCP read and act on patient data with no guardrails.
What Nightfall does
Browser and lightweight endpoint sensors inspect prompts before submission; agent-level controls govern what AI can access and expose.
Outcome
Say yes to clinical AI with controls a privacy officer will sign off on.
Patient identifiers sit exposed in SaaS
MRNs, diagnoses, and insurance IDs end up in Slack threads, Jira tickets, and support desks — along with the API keys that reach the EHR.
What Nightfall does
AI-native detection finds PHI, PII, secrets, and credentials across SaaS and AI apps — including unstructured clinical text — and remediates automatically.
Outcome
Close the exposure before it becomes a reportable breach or an audit finding.
Records are exfiltrated by staff
Administrators download exports from the EHR or telehealth platform and upload them to personal cloud storage, USB, or an unsanctioned app.
What Nightfall does
Browser and endpoint sensors catch downloads, uploads, and sync to unsanctioned destinations, block them, and keep full lineage back to the source system.
Outcome
Stop the leak at the endpoint and have the evidence for the breach-risk assessment already written.
Built for the frameworks you answer to
HIPAA Privacy & Security Rules
Detect and control PHI across all channels; evidence for access, transmission, and audit controls.
HITECH / Breach Notification
Lineage and records that support the four-factor breach-risk assessment.
42 CFR Part 2
Detect and control substance-use-disorder records in communications and SaaS.
HITRUST CSF
Map detections and remediation to data protection and privacy control domains.
State privacy laws
CCPA/CPRA, Washington MHMDA, and state health-data statutes — find and protect personal data wherever it lives.
PCI DSS 4.0
Detect and control cardholder data in patient billing and payments channels.
GDPR
Special-category health data controls for organizations with EU patients.
Learn more
Control what AI agents can access and expose
Agents connected through MCP read your CRM, mailbox, and docs and take actions on their own. Nightfall sits in the path: it knows what data an agent touched, what it tried to send, and stops the ones that cross a policy — in real time, with a full audit trail.
An analyst for the team that doesn’t have one
Nyx triages detections, investigates context, resolves the routine ones, and escalates what matters. Teams see roughly 80% of events resolved without a human in the loop.
Deploys in days. Fits your stack.
Talk to a Nightfall expert in healthcare
Tell us a little about your environment and we’ll match you with someone who has deployed Nightfall at firms like yours. Most teams see their first real detection the same day.
- A 30-minute call
- Tailored to your stack
- No slideware
