4. Defense-in-Depth Theory
Defense in depth is a multi-layered method of software protection. This necessitates employing various measures to guard the bot’s resources against assault.
Assets like files may require multiple passes through various stages of data authentication and input verification before being transmitted to any output terminal or displayed on the screen.
Designing industrial systems to fail safely is standard in security and control systems. There are sometimes fail-safes built into machines and locks on doors that unlock in the event of a power outage or other catastrophic incident, such as a fire.
The concept of failing securely is used in software development. To that end, bot failures must never compromise any application assets’ confidentiality, integrity, or availability.
6. Review and Validate RPA Scripts Regularly
RPA robot construction and upkeep have to be ongoing processes. To address risks identified by flagged events and exception reports, a Robotic Operations Center should offer continuous monitoring and run the automation through appropriate revisions once robots are in production.
It is essential to follow cyber-security best practices while securing the credentials of RPA administrators, track and isolate any events, and stop or halt suspicious sessions right away to minimize security risks. Make a risk mechanism that evaluates each script individually and the overall RPA installation. Regularly check for errors in the business logic of RPA scripts and validate them.
7. Maintain and Protect Log Integrity
Your IT and security personnel must review your logs if RPA security fails. Organizations and businesses generally save robotic process automation logs to a different system to safeguard their security and forensic integrity. The RPA tools provide the whole log file produced by the system, and as a member of the IT or Security team, you should make sure that it is devoid of illogical data that might skew the inquiry.
Knowing what the bot is doing is necessary for managing security concerns in RPA. To track activities and aid in determining the reasons for an event, each bot linked to the network must keep thorough audit logs. The logs must also be frequently examined to look for suspicious activity, odd system behavior, or misuse of privileged accounts. The logs should also be independently inspected to ensure that the RPA is operating as planned.
8. Keeping Jobs Separate
Most of the time, developers make bots with too many features because they want the bot to be able to do “everything.” From a cybersecurity point of view, this means that if the bot is hacked, “everything” could be at risk.
By creating fewer individual bots, each assigned a specific task, you can separate tasks and make your bots work better. Bots that are smaller are also easier to check and keep safe.
9. Effectively Fixing & Addressing Security Flaws
When fixing software vulnerabilities, it’s common for developers to believe they’re all done when, in fact, they’ve only solved part of the problem or even introduced additional vulnerabilities in the process of trying to repair the original problem. When addressing bot-related issues, check that your solutions stay intact.
Developers working on bots would incorporate static scans into their SDLC, do regular security review processes, and attend secure coding workshops to reduce the likelihood of regressions and insufficient fixes.