Secure Multi-Party Computation for Shared Network Intelligence Across Firms
Cryptography lets competing firms share network overlap without exposing their contact graphs.
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10 stories in Data Privacy and Security in Relationship AI.
Cryptography lets competing firms share network overlap without exposing their contact graphs.
Differential privacy can protect relationship data.
Banking secrecy law, not server location, determines real data sovereignty risk.
Data from email, calendar, and messaging gets audited for who can access it and how it's protected.
The judgment that makes introductions work vanishes when employees leave.
Four data-access layers matter more than the training-policy question alone.
Relationship graphs are sitting ducks for departing employees and compromised credentials.
States are rapidly restricting what employers can legally collect and track from worker email.
GDPR and CCPA demand opposite approaches to the same contact data.
Firms must architect permissions into data pipelines before AI surfaces relationship intelligence.