(MENAFN- Robotics & Automation News) Guaranteeing the security of custom Python software is critical in every market industry. As digitalization continues to occur, the complexity of cyber threats evolves in parallel.

In fact, The projected annual growth rate provided by Cybersecurity Ventures for global cybercrime costs is 15%, and it is anticipated to reach $10.5 trillion by 2025.

According to Statista, in the United States, the average cost of a data breach is $9.44 million, and it is anticipated that cybercrime will incur a total cost of $8 trillion by 2023.

This makes it essential to make sure that your Python-based software incorporates solid security measures and is reliable for both your business and your users.

This blog post delves into the comprehensive strategies of securing Python applications, covering time-tested practices for custom development.

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