A security footprint is the sum of a digital item’s security requirements. A program’s security footprint would include all the points at which action is necessary to prevent data breaches or viruses.
But, like applications programming languages have security footprints too. These footprints cover the points in which the language is vulnerable to actors. For developers, it is essential to implement security with the language’s risk at hand. Python is no different and presents a myriad of unique security risks that have to be effectively evaluated.
In this guide, we explore:
– Assessment of 5 most common security problems
– How Python impacts project security
– Best practices in mitigating Python risks