Securing PII Data in Palantir Foundry скачать в хорошем качестве

Securing PII Data in Palantir Foundry

Learn how to use Foundry's Markings, Cipher, and Checkpoints capabilities to bring a common customer service workflow more in line with best practices for protecting Personally Identifiable Information (PII) data. All data shown in this tutorial, including names, emails, phone numbers and other properties, is notional data generated solely for teaching purposes. Ontologize Founded by Taylor Gregoire-Wright, a former Palantir implementation engineer, Ontologize offers courses & live trainings for Palantir Foundry. Visit https://ontologize.com or connect on LinkedIn:   / tgregoirewright   Chapters 00:00 Intro 00:51 Inbox App with unprotected PII data 01:48 Principle of least privilege 02:23 Markings 03:21 Creating a Marking 04:30 Applying a Marking 06:03 Marking propagation 06:40 Impact of Marking on Customer Service user 07:23 Encryption Channels 08:34 Creating a Cipher License 09:22 Encrypting PII data in Python Transforms 10:58 Stopping Marking propagation in Python Transforms 11:58 Impact on Customer Service user 12:46 Issuing an Operational License to Customer Service users 14:02 Rate limiting decryption actions 14:35 Reviewing project permissions setup 15:26 Fixing the schema mismatch in the Ontology Manager 16:30 Aside: what Discoverer access to a Project looks like 16:55 Decrypting data with an Operational License 19:20 Setting up a Checkpoint 21:29 Checkpoints from a user's perspective 22:03 Reviewing Checkpoint logs 22:35 Recap & outro