Source Code Exfiltration Prevention Blueprint

Copy-paste bypasses keyword and regex-based DLP by design. Traditional tools scan for patterns, not logic, so proprietary source code slips past the moment a developer pastes it into a public generative AI tool.

This engagement extends a customer's existing Microsoft 365 investment to close that gap. Built for CISOs and engineering leaders at software development and IT services firms with proprietary codebases and active developer GenAI use, it calibrates the Microsoft Purview source code classifier against the customer's actual codebase, tunes detection thresholds until accuracy holds, and rolls out Microsoft Purview Endpoint DLP alongside browser-level AI-egress controls. Customers already running Microsoft 365 get a compliance layer tuned to their own language mix and their own developers' tools, not a generic policy applied after the fact.

Engagement agenda:

Week 1: Baseline calibration of the Microsoft Purview source code classifier against the customer's language mix Week 2: Iterative confidence-threshold tuning per language until detection accuracy stabilises Week 3: Microsoft Purview Endpoint DLP and browser-level AI-egress control rollout Week 4: Regional compliance layer configuration and validation

Deliverables: a tuned Microsoft Purview trainable classifier baseline validated against the customer's codebase, documented AI-egress DLP policies, and a regional compliance configuration report.

What's included:

• Microsoft Purview source code classifier calibration across common languages: C, C++, C#, Java, F#, JavaScript, Python
• Iterative confidence-threshold tuning until detection accuracy stabilises
• Microsoft Purview Endpoint DLP and browser-level AI-egress controls
• Regional compliance layer, for example India's DPDPA-mandated identifiers

Estimated duration: under 30 days