When we talk about low-code and Python RPA connectors, there are some important benefits to consider depending on the type of project your teams are working on. For example, low-code connectors bring the advantage of abstracting concepts that do not need to be resolved at that time, as the tool has already taken care of those issues. In addition, they also bring ease of implementation and almost no concern for the team to know how to use certain techniques to create it.
However, there is a need to consider that a low-code tool is usually closed in scope and there will not always be the possibility of punctual adjustments according to the needs of your business.
To have this kind of openness and possibility, RPA integrations made in Python already allow for more effective customizations, in addition to the security emphasis that is greater than that of low-code connectors.
And why are they safer? When the code, in this case, is built in Python, it can be easily reviewed, analyzed and, if necessary, audited by the professional people responsible for security in your company, which allows you to detect possible vulnerabilities. Whether considering the requirements for that functionality or dealing with sensitive data, for example or even using frameworks that support the security of your automation application.
Another reason Python RPA is more secure is that there are always resources available to help ensure the security of code developed by your team because the development community for this programming language is large and strongly active. And making these updates can prevent bigger problems. While low-code connectors find it more difficult to maintain themselves in updated versions, not only because of licenses or limitations of this type but also because they end up being generated from models that require other issues to be modified, which even then does not always it’s possible.
One more advantage of ensuring the security of built automation is that when developing the code for it, you can use SDKs directly from large companies such as AWS, and Google, among many others of your choice. And this type of integration brings positive points, such as the provision of tools and resources to help ensure the security of its services, made available by the companies mentioned in their SDKs.
Additionally, these cloud companies typically provide well-documented and technically supported SDKs to ensure the security and stability of their services. This can be very useful to ensure that RPA integrations are developed correctly and in accordance with the best security practices, especially those that are also indicated by the mentioned companies themselves.
Remember that security involves many things, from defining requirements, when people or other tools use automation, to thinking about scaling your application. And the more control you and your team have over this, the easier it will be to apply security correctly and in the way you need it.
