Use Cases
Real-world applications of AI security across industries. See how organizations protect sensitive data while enabling AI innovation.
🏦 Finance
Human Approval for Large Transactions
Require human oversight for any AI-initiated trades or transfers above specified thresholds. Route approval requests through Slack, email, or secure dashboards with full transaction context.
Prevent Data Exfiltration
Isolate AI tool servers in secure network environments with restricted outbound access to prevent unauthorized transmission of trading algorithms, customer data, or market intelligence.
🏥 Healthcare
Anonymize Patient Records
Automatically tokenize patient identifiers (names, SSNs, addresses) when AI systems access medical records for analysis, ensuring HIPAA compliance while preserving research value.
Require Approval for Treatment Modifications
Route AI-suggested changes to treatment plans or medication dosages through human approval workflows, ensuring licensed medical professionals review all recommendations before implementation.
⚖️ Legal
Redact Privileged Communications
Automatically redact attorney-client privileged content when AI systems access case files for discovery or research, maintaining confidentiality while enabling efficient document review.
Restrict Access to Confidential Information
Implement fine-grained access controls ensuring AI systems can only access case materials relevant to specific matters, preventing cross-contamination between client matters.
💻 Technology
Approval for Production Changes
Require human approval for any AI-suggested changes to production systems, databases, or infrastructure. Include full context and impact analysis in approval requests sent to engineering teams.
Protect Source Code and API Keys
Redact sensitive information like API keys, database credentials, and proprietary algorithms when AI systems access code repositories for analysis or automated code reviews.
🎓 Education
Anonymize Student Records
Tokenize student identifiers and sensitive information when AI systems access academic records for research analysis, maintaining privacy while preserving analytical value for institutional research.
Control Access to Research Data
Implement fine-grained authorization ensuring AI systems can only access research datasets relevant to specific studies, preventing cross-contamination between research projects and unauthorized data exposure.
🏢 Enterprise
Restrict Employee Data Access
Allow employees to access only their personal data and information relevant to their department or role through AI chatbots, ensuring proper access control and data isolation across the organization.
Protect Intellectual Property
Limit AI system access based on employee privileges when processing internal documents for search, summarization, or knowledge management across different security clearances.
