Secure Coding & Design Best Practices in Python

Secure Coding Best Practices, Secure Coding Principles, Secure Coding in Python

What you'll learn
Developers to learn how to code securly
Security Best Practices and Principles
Secure Coding
Secure Coding & Design in Python
Requirements
Having Programming Experience in Python is mandatory for this Course
Description
Secure coding is a way of writing computer programs that makes them less vulnerable to security threats like hacking and viruses or data leaks.
When we write software, we want to make sure it is built in a way that keeps it safe from the attackers who might want to break in and do real bad things, like steal information or cause damage to the application or data.
One of the rough truth is that new vulnerabilities are constantly being discovered, which can compromise the security of software systems. This means that even if a software application was secure at one point in time, it may become vulnerable to attack as new weaknesses are identified and exploited by attackers.
What is the way to achieve this?
The answer is we have to follow certain guidelines and best practices at every stage of development that help us identify and address potential security risks. By doing this, we can better protect sensitive data and prevent unauthorised access or manipulation of the software by attackers.Also, focussing on applications security and updating the application time to time as per the updating security standards.
It's essential to prioritise secure coding practices because most businesses today rely on software to run their operations. Software can either be custom-made specifically for the business or purchased from other companies. Building software can be a time-consuming and costly process, but unfortunately, the security of the software often doesn't receive enough attention
It is not part of day to day programming by developers. There are a few challenges that architects and developers face to achieve code security:
Lack of knowledge:
Many new developers may not have a comprehensive understanding of secure coding practices and may not be aware of the potential vulnerabilities in their code.
Limited resources:
Small teams or individual developers may not have the resources to implement complex security measures or to conduct thorough testing of their code.
Time constraints: Developers may be under pressure to deliver code quickly, which can lead to shortcuts being taken and security being overlooked.
Evolving threats:
The security landscape is constantly changing, and new threats can emerge quickly. Developers need to stay up-to-date with the latest threats and vulnerabilities to ensure that their code remains secure.
Compatibility issues:
Secure coding can sometimes conflict with other requirements, such as compatibility with legacy systems or third-party software, which can make it difficult to implement.
These are the challenges faced during the development. The best solution to this is to know the security practices prior to start a new development so that they can be taken in consideration from the very start.This means making sure that all developers understand the basics of secure coding practices and that security is considered throughout the development process Developers should educate themselves on secure coding practices and keep themselves updated with new security vulnerabilities and their solutions.
TOC :
1. OnBoarding
2. Introduction of Secure Coding
3. Secure Design
4. Understanding the RISKS
5. Security Management
6. Summary
7. Appendix
Who this course is for:
Developer who want to understand and learn Secure coding and Design in Python

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