Use Cases

In every regulated industry, the same thing is happening.

Your team uses AI because everyone has to, or they get left behind. Confidential information goes into consumer AI tools. The information leaves the building. The liability stays.

Healthcare

Protect patient data and maintain HIPAA compliance in the era of AI.

PHI in a prompt is an exposure with or without a breach.
Source: HHS HIPAA Security Rule.

Key Challenges

  • Patient data (PHI) being shared with AI assistants for clinical notes
  • HIPAA compliance requirements for all data handling
  • Shadow AI usage by medical staff seeking efficiency
  • Risk of data breaches affecting patient trust

ShadowWatch Solution

ShadowWatch automatically detects and blocks Protected Health Information before it reaches AI tools. We maintain full audit trails for HIPAA compliance, alert security teams to policy violations, and help you govern AI usage across your healthcare organization.

  • PHI detection and blocking
  • HIPAA-compliant audit trails
  • Real-time policy enforcement
  • Integration with EHR workflows
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Healthcare use case

Finance

Secure financial data and meet regulatory requirements.

SEC 8-K a material AI-driven incident is a disclosure event.
Source: SEC 17 CFR 229.105.

Key Challenges

  • Financial data leakage through AI assistants
  • SEC and regulatory compliance requirements
  • Insider trading concerns from AI analysis
  • Customer PII exposure risks

ShadowWatch Solution

Monitor all AI interactions for sensitive financial data including account numbers, trading patterns, and market-moving information. Export the audit evidence regulators require (including what was shared, when, and by whom) and tie it to SEC 8-K disclosure and examination requests without building reports by hand.

  • Financial data detection
  • SEC 8-K audit evidence
  • Insider trading prevention
  • Customer PII protection
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Finance use case

Legal

Maintain attorney-client privilege and protect case information.

Dozens attorneys sanctioned, fined, and referred over AI-fabricated citations.
Source: Mata v. Avianca (2023) and cases since.

Key Challenges

  • Client confidentiality at risk from AI usage
  • Privileged information exposure
  • Attorneys sanctioned, fined, and referred for discipline over AI-fabricated citations (Mata v. Avianca and dozens since)
  • Case strategy leaking to AI systems

ShadowWatch Solution

Prevent client data from being shared with AI tools while still allowing lawyers to use AI for permitted purposes. A queryable audit trail lets firms prove what a lawyer actually submitted to AI, guarding against wrongful discipline and supporting legitimate review. Sanctions, fines, and bar referrals are already on the record; the audit trail is what keeps a fabricated-citation incident from becoming your firm's story.

  • Client confidentiality protection
  • Privilege preservation
  • Audit trail for bar compliance
  • Matter-based access controls
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Legal use case

Technology Companies

Protect your competitive advantage while enabling developer productivity.

$25.6M one AI-driven fraud event cost Arup in 2024.
Source: Arup / Hong Kong police, 2024.

Key Challenges

  • Proprietary code and algorithms at risk
  • Trade secrets exposure to AI coding assistants
  • Fast-paced AI adoption without governance
  • Competitive intelligence leakage

ShadowWatch Solution

Secure your competitive advantage by controlling what engineers can share with AI coding assistants. Protect your IP while still enabling the productivity gains that AI tools provide.

  • Source code protection
  • Trade secret detection
  • Competitive advantage security
  • Developer productivity insights
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Technology Companies use case

Who it's for

Built for the people responsible for AI governance

The audit trail is the evidence record in every industry. Here is who holds it.

IT

Deploy in minutes via MDM. No infrastructure, no code changes.

Security

See every AI tool in use, warn or block sensitive data, keep the evidence.

Compliance

A queryable, exportable audit trail with sensitive patterns auto-redacted.

MSPs

Per-tenant policies, multi-tenant visibility, metered billing from one console.

For MSPs

Govern AI for Every Client From One Console

Per-tenant policies, multi-tenant visibility, and metered billing built for MSPs and MSSPs who need to offer AI governance as a service, without a separate tool per client.

Explore ShadowWatch for MSPs

See it in detail

How the audit trail gets built, what it costs, and how it maps to the frameworks you answer to.