RPA Security and Governance Flashcards
6 cards from real RPA practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 RPA Security and Governance flashcards as text
What is 'RPA risk assessment' typically used to evaluate?
Answer: Identifying potential failure points, security vulnerabilities, and compliance risks before deploying a bot
RPA risk assessment identifies what could go wrong — data breaches, process failures, compliance violations — allowing mitigation strategies to be built into the design.
What does 'data masking' in RPA mean?
Answer: Replacing sensitive data with realistic but fictitious values in non-production environments
Data masking replaces real sensitive data (e.g., SSNs, credit card numbers) with realistic dummy values so bots can be tested safely in non-production environments.
Why is 'multi-factor authentication (MFA)' challenging to implement with RPA bots?
Answer: Bots cannot receive SMS or push notifications required by many MFA methods
Traditional MFA methods like SMS codes or authenticator app pushes require human interaction, making them incompatible with fully automated unattended bot processes.
What is 'bot retirement' in an RPA governance lifecycle?
Answer: The formal process of decommissioning bots that are no longer needed or have been replaced
Bot retirement involves formally decommissioning a bot — revoking its credentials, removing it from the Orchestrator, and documenting its removal for governance purposes.
What is the role of 'third-party risk management' in enterprise RPA governance?
Answer: Assessing and managing the security and compliance risks introduced by RPA vendor platforms and integrations
Third-party risk management evaluates the security posture, data handling practices, and contractual obligations of RPA vendors and integrated third-party services.
What does 'continuous control monitoring' mean in an RPA governance framework?
Answer: Automated, real-time monitoring that continuously verifies bots are operating within defined control parameters
Continuous control monitoring uses automated tools to constantly verify that bots comply with security policies, access controls, and business rules in real time.
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