Python and data security

Python has been broadly used in cyber security and has been used heavily in everything from malware analysis, host discovery and sending/decoding of packets to accessing servers, port scanning, and network scanning. But pushed by initiatives like GDPR and CCPA, data security is quickly becoming rising to the center of new security models. Under models like Zero Trust, protecting the network perimeter is no longer sufficient. Developers can no longer rely on just an API token that acts as both authentication and authorization. You now need to understand how to secure each and every stage of an interaction within the context of the request.

This session introduces concepts around data identity, shows how you can use keys in Python as tokens for identity and shows how you can then attach the context of the request as metadata. This enables ABAC-based policy rules to control access over data and under what conditions at a highly granular level. The example uses the Machina Python SDK to create keys and update metadata.

Michael Floyd from Ionic Security will present this tutorial