Calendar Icon White
December 2, 2025
Clock Icon
5
 min read

How to Redact PHI in Salesforce Automatically

Learn how to automatically redact protected health information (PHI) inside Salesforce Cases, Email-to-Case, Chats, and Files using Strac’s HIPAA-compliant Salesforce DLP.

How to Redact PHI in Salesforce Automatically
ChatGPT
Perplexity
Grok
Google AI
Claude
Summarize and analyze this article with:

TL;DR

  • 1. Salesforce cannot natively redact PHI such as diagnoses, medical IDs, lab results, treatment details, or insurance data.
  • 2. PHI enters Salesforce through Email-to-Case, chat transcripts, uploaded PDFs, patient forms, and integrations with clinical platforms.
  • 3. Strac redacts PHI in real time across Salesforce messages and files using AI, OCR, and medical-context detection to support HIPAA and GDPR special-category data compliance.
  • Salesforce is widely used in healthcare operations; telemedicine workflows; insurance claims processing; and employer wellness programs. Patients often paste medical details directly into support forms; or upload scanned medical documents containing diagnoses, treatment data, or lab values. Salesforce cannot detect or redact PHI; which creates major HIPAA risks.

    Strac automatically redacts PHI throughout Salesforce objects, messages, and files; neutralizing health data instantly.

    Why Salesforce Cannot Reliably Redact PHI (HealthCare Data)

    Salesforce does not include health-specific DLP; cannot detect protected health information; and cannot redact medical details in messages, files, or Case fields. This means PHI sits inside Cases, Feed Items, Files, and email threads unless manually cleaned.

    Salesforce lacks:
    • PHI detection models;
    • HIPAA compliance safeguards;
    • OCR for medical PDFs and clinical scans;
    • Automatic redaction workflows;
    • Historical PHI cleanup;
    • Audit logs for HIPAA reporting.

    Strac provides medical-context detection and automated PHI redaction across all Salesforce surfaces.

    What PHI (HealthCare Data) Looks Like Inside Salesforce

    PHI appears in Salesforce in many formats; and redaction must handle both structured and unstructured data. HIPAA defines PHI as anything that relates to past, present, or future medical conditions or care.

    Common PHI exposures in Salesforce include:
    • Diagnoses inside Email-to-Case threads;
    • Lab results or medical measurements;
    • EHR screenshots attached as images;
    • Insurance IDs or claim numbers;
    • Doctor or provider notes;
    • Referral forms and clinical summaries;
    • Treatment details and medication lists;
    • Scanned patient forms;
    • Files containing ICD/CPT billing codes.

    Strac uses AI + OCR + health-specific models to identify PHI accurately.

    What It Means to Redact PHI (HealthCare Data) in Salesforce

    Redaction masks only the sensitive medical portion of the message or file; keeping the Case usable without exposing PHI. This supports HIPAA’s Minimum Necessary Standard and GDPR’s special-category data protection.

    Example:
    “Diagnosis: Type 2 Diabetes, patient John Miller”
    → “Diagnosis: ******, patient J M

    Redaction preserves workflow context; protects patient privacy; and prevents violations.

    Strac redacts PHI across:
    • Cases
    • Case Comments
    • Email-to-Case
    • Live Chat transcripts
    • Messaging for In-App
    • Salesforce Files (PDFs, images, spreadsheets)
    • API-inserted objects

    Real Examples of PHI (HealthCare Data) Redaction in Salesforce

    Example 1 — Email-to-Case with lab results
    Strac redacts the measurements and patient identifiers.

    Example 2 — Uploaded scanned referral form
    OCR detects PHI across the scanned form; redacts it automatically.

    Example 3 — Live Chat conversation
    Strac redacts diagnoses and insurance numbers before agents see them.

    Example 4 — PDF medical summary
    Strac redacts ICD/CPT codes and treatment details.

    Example 5 — API integration pushes PHI
    Strac redacts or deletes PHI in real time across custom objects.

    ✨Why Strac Is the Best Way to Redact PHI (HealthCare Data) in Salesforce

    Strac combines real-time AI detection, OCR scanning, HIPAA-aware classification, and automated redaction to remove PHI instantly across messages and files. It ensures Salesforce remains safe and compliant even in health-related workflows.

    Strac offers:
    • Real-time PHI redaction;
    • OCR for clinical PDFs and images;
    • Context-aware medical classifiers;
    • Historical PHI cleanup;
    • HIPAA-ready audit logs;
    • Agentless deployment;
    • DSPM + DLP unified detection.

    Strac Salesforce DLP

    🌶️Spicy FAQs on How to Redact PHI (HealthCare Data) in Salesforce

    Does Salesforce natively redact PHI?

    No; Salesforce does not detect or mask protected health information.

    Can Strac redact PHI inside PDF medical documents?

    Yes; OCR supports scans and multi-page PDFs.

    Does PHI redaction support HIPAA compliance?

    Yes; redaction removes exposure and supports Minimum Necessary standards.

    Can Strac redact PHI entered through Live Chat?

    Yes; Strac protects all messaging channels.

    Can Strac retroactively clean up old PHI in Salesforce?

    Yes; historical scanning and remediation are supported.

    Try Strac for Salesforce PHI (HealthCare Data) Redaction

    Strac redacts PHI automatically inside Salesforce; ensuring HIPAA and GDPR special-category data compliance with zero friction.

    Discover & Protect Data on SaaS, Cloud, Generative AI
    Strac provides end-to-end data loss prevention for all SaaS and Cloud apps. Integrate in under 10 minutes and experience the benefits of live DLP scanning, live redaction, and a fortified SaaS environment.
    Users Most Likely To Recommend 2024 BadgeG2 High Performer America 2024 BadgeBest Relationship 2024 BadgeEasiest to Use 2024 Badge
    Trusted by enterprises
    Discover & Remediate PII, PCI, PHI, Sensitive Data

    Latest articles

    Browse all

    Get Your Datasheet

    Thank you! Your submission has been received!
    Oops! Something went wrong while submitting the form.
    Close Icon