RPA gained traction due to its ability to automate repetitive tasks, eliminate human error, and enhance productivity. But, data leakage and threats are two major risks with RPA. As the bots handle sensitive data, they can be exposed without robust security measures in place.
Currently, RPA cannot mimic human actions to ensure security and handle sensitive data. Companies using RPA need to worry about security risks such as unauthorized data access and weak authentication. Threats like these result in compromised passwords or security keys, data leakage, and compliance issues.
Audit logs track bot activities to monitor its health and effectiveness. For example, the log data will help determine why a bot stops working. Firms need to track logs when an RPA security incident occurs. Hence, ensuring that the RPA generates an accurate log free of loopholes that might hinder any investigation is essential.
However, flawed logging and lack of audit trails make detecting and responding to security threats hard. Weak auditing practices won't detect minor security breaches until they cause major harm.
RPA introduces new app layers that are prone to attack. Also, bots can fail to function correctly without continuous monitoring, resulting in problems, errors, and possible damage.
To reduce security risks-
- Ensure RPA console access is secured by RPA administrators' passwords.
- Adopt best cyber-security practices, track and isolate incidents, and suspend and terminate suspicious sessions immediately.
- Create a risk system that assesses the overall RPA implementation and scripts.
- Scan and validate RPA scripts regularly to find flaws in business logic.