AI projects run on data, and they copy it fast. Customer records, patient data, contracts and source code get pulled into new storage buckets, vector databases, training sets, prompts and logs, often by teams outside IT. Each copy is a new place where PHI, PII or intellectual property can sit unclassified, unencrypted or open to more people than intended.

Join technology and security leaders from across Atlanta for a candid dinner conversation on keeping track of sensitive data as AI workloads scale on AWS. Compare how peers find out where data has spread, decide what AI is allowed to use, and keep the controls in place as projects multiply. There’s no presentation, just an open exchange on what’s working and what isn’t.