When talking about low-code and Python RPA connectors, there are some important features to take into account, depending on the type of project the teams are working on. Low-code connectors, for example, bring the advantage of abstracting concepts that do not need to be resolved at that time, since the tool has already taken care of those issues. In addition, they also bring the ease of implementation and almost no concern for the team to know how to use a particular technology to create it.
However, a low-code tool is usually closed in scope, and there will not always be the possibility of fine adjustments according to the needs of your business, which must be considered.
To have this much openness and possibility, RPA integrations made in Python is indicated, since they already allow for more effective customizations, in addition to the security emphasis, which is higher than that of low-code connectors.
Why are they safer?
When code is built in Python, it can be easily reviewed, analyzed and, if necessary, audited by the security professionals in your company, allowing possible vulnerabilities to be detected, either by considering the requirements of that functionality, dealing with sensitive data, or even using frameworks that support the security of your automation application.
Python RPA is safer also because there are always new resources available to help ensure the security of code developed by your team, as the development community for this programming language is large and strongly active, and making these updates can prevent bigger problems.
In contrast, low-code connectors find it more difficult to maintain up-to-date versions. Not only they are limited by licenses or similar restraints, but they also end up being generated from models that require other aspects to be modified, which is not always 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. This type of integration brings benefits, 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, cloud companies typically provide well-documented and technically supported SDKs to ensure the security and stability of their services, which can be useful to ensure that RPA integrations are developed correctly and by the best security practices, especially those that are also indicated by the mentioned companies themselves.
Keep in mind that security involves many factors, 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 those, the easier it will be to apply security correctly and in the way you need it.