Secure AI Sensitive Information Best Practices
As GenAI becomes embedded in everyday work, leaders need confidence that sensitive information is handled appropriately—across people, processes, and third parties. This workshop builds a shared understanding of best practices to prevent accidental disclosure, apply practical safeguards, and reinforce policies and accountability so GenAI can scale responsibly.
Leave with a clear understanding of sensitive-information best practices for GenAI and prioritized next steps to reduce leakage risk across initiatives.
Sensitive information can surface in unexpected ways as GenAI use expands across teams and workflows.
- Unintentional disclosure risk: Employees may share confidential or regulated information without realizing the downstream implications.
- Inconsistent safeguards: Redaction, access controls, and audit practices vary across use cases, creating uneven coverage.
- Policy-to-practice gaps: Data classification and handling rules exist, but aren’t consistently applied in day-to-day GenAI usage.
When sensitive information isn’t protected by design, GenAI adoption creates avoidable exposure.
We equip leaders with practical best practices and an actionable path to strengthen sensitive-information handling for GenAI.
- Leakage prevention standards: Establish clear expectations for what should never be shared and how to reduce accidental disclosure.
- Redaction and obfuscation guidance: Align on practical approaches to minimize exposure while preserving business usefulness.
- Logging and audit readiness: Define what needs to be recorded, reviewed, and escalated to ensure accountability.
- Team handling protocols: Clarify the behaviors, training expectations, and operating routines that make safeguards stick.
- Classification-aligned governance: Connect sensitive-information practices to existing data classification policies and oversight.
- Preventing Accidental Leakage of Sensitive Data
- Applying Redaction and Obfuscation Techniques
- Logging and Auditing Sensitive Access
- Training Teams on Sensitive Handling Protocols
- Complying with Data Classification Policies
Develop a shared understanding of sensitive-information risks and best practices in common GenAI scenarios
Define a prioritized set of next steps to strengthen safeguards across the most important GenAI initiatives
Establish clear expectations for redaction, obfuscation, and “do not share” handling rules
Adopt a lightweight approach to logging, auditing, and escalation that supports accountability
Apply a practical way to align GenAI usage with existing data classification and handling policies
Who Should Attend:
Solution Essentials
Facilitated workshop (in-person or virtual)
4 hours
Intermediate
Shared collaboration space (virtual whiteboard or equivalent) and shared notes