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REPORT
2025 healthcare email security report
Key insights from 180 email-related healthcare breaches and actionable steps to protect your organization.
Shadow AI is outpacing healthcare email security
Healthcare organizations are rushing to use AI at breakneck speed, but security and compliance teams are already stretched thin and can’t keep up.
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REPORT
2025 healthcare email security report
Key insights from 180 email-related healthcare breaches and actionable steps to protect your organization.
Top takeaways
Shadow AI usage in healthcare introduces a new layer of security and compliance risk. Employees leveraging AI without proper guardrails can unintentionally expose sensitive patient data.
95% of organizations report staff are already using AI tools in email
62% have observed staff experimenting with ChatGPT or similar tools even though they’re unsanctioned
16% admit compliance was never consulted before AI email tools were enabled
75% believe employees assume tools like Microsoft Copilot are automatically HIPAA compliant
Shadow AI is outpacing healthcare email security
This report examines how rapid-paced AI adoption is colliding with under-resourced compliance, creating risky gaps..
Executive summary: Shadow AI is outpacing healthcare email security
Healthcare’s rapid AI adoption has outpaced security, creating new compliance risks hidden in everyday email use.
Infographic: Inside the rise of shadow AI in healthcare
Key stats reveal how shadow AI is spreading across healthcare inboxes faster than organizations can govern it.
Report excerpt: The push for fast AI adoption without oversight
Executives are driving AI adoption for efficiency, often skipping the reviews and safeguards compliance teams expect.
Report excerpt: Frontline staff using AI under the radar
Clinicians and administrators are turning to built-in AI tools daily, often without approval or security checks.
Report excerpt: Security and compliance dangers of shadow AI
Unmonitored AI use is creating blind spots in HIPAA compliance, exposing protected health data to unknown systems.
