AAISM Practice Questions
265 real AAISM exam questions with expert-verified answers and explanations. Page 1 of 6.
- Question #1AI Security Risk Management
Which of the following is the MOST critical key risk indicator (KRI) for an AI system?
Key Risk Indicators (KRIs)AI System RisksModel DriftAI Monitoring - Question #2AI Security Risk Management
Which of the following controls BEST mitigates the risk of bias in AI models?
AI Bias MitigationData SourcingAI Risk ManagementResponsible AI - Question #3AI Security Operations and Monitoring
Which of the following is the MOST important course of action when implementing continuous monitoring and reporting for AI-based systems?
Continuous MonitoringAI Risk IndicatorsReal-time MonitoringAI Operations - Question #4AI Security Assurance and Resilience
An automotive manufacturer uses AI-enabled sensors on machinery to monitor variables such as vibration, temperature, and pressure. Which of the following BEST demonstrates how this...
Operational ResiliencePredictive MaintenanceAI MonitoringCondition Monitoring - Question #5AI Security Design and Implementation
Which of the following BEST describes how supervised learning models help reduce false positives in cybersecurity threat detection?
supervised learningfalse positivesthreat detectionlabeled data - Question #6AI Security Strategy and Governance
Which of the following BEST represents a combination of quantitative and qualitative metrics that can be used to comprehensively evaluate AI transparency?
AI TransparencyAI EthicsEvaluation MetricsUser Feedback - Question #7AI Security Risk Management
Which of the following key risk indicators (KRIs) is MOST relevant when evaluating the effectiveness of an organization's AI risk management program?
Key Risk Indicators (KRIs)AI Risk Management Program EvaluationCompliance MonitoringProgram Effectiveness Metrics - Question #8AI Security Strategy and Governance
The PRIMARY ethical concern of generative AI is that it may:
Generative AI EthicsInformation IntegrityAI MisinformationEthical AI Concerns - Question #9AI Security Operations and Monitoring
An organization is reviewing an AI application to determine whether it is still needed. Engineers have been asked to analyze the number of incorrect predictions against the total n...
AI Performance MetricsKPIsAI Operations Monitoring - Question #10AI Security Risk Management
An organization plans to implement a new AI system. Which of the following is the MOST important factor in determining the level of risk monitoring activities required?
AI Risk ManagementRisk ToleranceRisk MonitoringAI Governance - Question #11AI Security Risk Management
Which of the following security framework elements BEST helps to safeguard the integrity of outputs generated by AI algorithms?
AI BiasOutput IntegrityRisk ManagementAI Security Frameworks - Question #12AI Security Assurance and Resilience
Which of the following should be a PRIMARY consideration when defining recovery point objectives (RPOs) and recovery time objectives (RTOs) for generative AI solutions?
RPO/RTOGenerative AIData RecoveryTraining Data - Question #13AI Security Strategy and Governance
When documenting information about machine learning (ML) models, which of the following artifacts BEST helps enhance stakeholder trust?
Model documentationModel cardsStakeholder trustML governance - Question #14AI Security Design and Implementation
Which of the following MOST effectively minimizes the attack surface when securing AI agent components during their development and deployment?
Attack Surface ReductionCompartmentalizationLeast PrivilegeSecure Design Principles - Question #15AI Security Operations and Monitoring
Which of the following is the MOST effective use of AI-enabled tools in a security operations center (SOC)?
AI in SOCThreat DetectionFalse NegativesSecurity Operations - Question #16AI Security Risk Management
An organization's CIO provided the AI steering committee with a list of AI technologies in use and tasked them with categorizing the technologies by risk. Which of the following sh...
AI Asset ManagementAI InventoryRisk Management FoundationAI Governance - Question #17AI Security Strategy and Governance
As organizations increasingly rely on vendors to develop AI systems, which of the following is the MOST effective way to monitor vendors and ensure compliance with ethical and secu...
Vendor monitoringAI ethicsAI securityThird-party risk management - Question #18AI Security Design and Implementation
Which of the following controls BEST mitigates the risk of data poisoning?
Data poisoningData validationAI security controlsMachine learning security - Question #19AI Security Design and Implementation
A large language model (LLM) has been manipulated to provide advice that serves an attacker's objectives. Which of the following attack types does this situation represent?
LLM SecurityAI AttacksEvasion AttacksPrompt Manipulation - Question #20AI Security Design and Implementation
Which of the following would MOST effectively ensure an organization developing AI systems has comprehensive data classification and inventory management?
Data ClassificationData InventoryAutomated Data CatalogingAI Data Management - Question #21AI Security Risk Management
An organization develops and implements an AI-based plug-in for users that summarizes their individual emails. Which of the following is the GREATEST risk associated with this appl...
AI risk managementData privacyPrompt securityConfidentiality - Question #22AI Security Risk Management
A large pharmaceutical company using a new AI solution to develop treatment regimens is concerned about potential hallucinations with the introduction of real-world data. Which of...
AI HallucinationsHuman-in-the-loopAI Risk MitigationAI Safety - Question #23AI Security Risk Management
During the creation of a new large language model (LLM), an organization procured training data from multiple sources. Which of the following is MOST likely to address the CISO's s...
Data MinimizationAI Data SecurityData PrivacyLLM Training Data - Question #24AI Security Design and Implementation
Which of the following will BEST reduce data bias in machine learning (ML) algorithms?
Data biasBias mitigationTraining dataMachine learning - Question #25AI Security Strategy and Governance
A PRIMARY objective of responsibly providing AI services is to:
Responsible AIAI EthicsTrustworthy AIAI Governance Principles - Question #26AI Security Risk Management
Which of the following is the MOST effective way to mitigate the risk of deepfake attacks?
Deepfake MitigationData ProvenanceAI Security ControlsRisk Management - Question #27AI Security Design and Implementation
An AI research team is developing a natural language processing model that relies on several open-source libraries. Which of the following is the team's BEST course of action to en...
Supply Chain SecurityOpen-source SecuritySoftware IntegrityMalware Scanning - Question #28AI Security Strategy and Governance
Which area of intellectual property law presents the GREATEST challenge in determining copyright protection for AI-generated content?
AI-generated contentCopyrightIntellectual PropertyLegal Challenges - Question #29AI Security Strategy and Governance
Which of the following factors is MOST important for preserving user confidence and trust in generative AI systems?
AI TrustTransparencyInformed ConsentGenerative AI Ethics - Question #30AI Security Risk Management
From a risk perspective, which of the following is the MOST important step when implementing an adoption strategy for AI systems?
AI risk assessmententerprise risk managementAI adoption strategyrisk register - Question #31AI Security Strategy and Governance
Which of the following is the MOST important factor to consider when selecting industry frameworks to align organizational AI governance with business objectives?
AI GovernanceRisk AppetiteFramework SelectionStrategic Alignment - Question #32AI Security Risk Management
An organization recently introduced a generative AI chatbot that can interact with users and answer their queries. Which of the following would BEST mitigate hallucination risk ide...
Generative AIHallucination riskModel fine-tuningRisk mitigation - Question #33AI Security Risk Management
Which of the following controls BEST mitigates the inherent limitations of generative AI models?
Generative AI limitationsAI risk mitigationHuman oversightAI controls - Question #34AI Security Risk Management
The PRIMARY benefit of implementing moderation controls in generative AI applications is that it can:
Generative AI securityContent moderationAI safetyRisk mitigation - Question #35AI Security Operations and Monitoring
Which of the following is a key risk indicator (KRI) for an AI system used for threat detection?
KRIAI operational riskThreat detection AIAI system monitoring - Question #36AI Security Operations and Monitoring
Which of the following is the BEST reason to immediately disable an AI system?
Model DriftAI System ReliabilityOperational ResponseCritical Failure - Question #37AI Security Assurance and Resilience
To ensure AI tools do not jeopardize ethical principles, it is MOST important to validate that:
AI EthicsAI BiasOutput ValidationFairness - Question #38AI Security Risk Management
An organization utilizes AI-enabled mapping software to plan routes for delivery drivers. A driver following the AI route drives the wrong way down a one-way street, despite numero...
Automation BiasHuman-AI InteractionAI System RisksHuman Factors in AI - Question #39AI Security Assurance and Resilience
Which of the following AI-driven systems should have the MOST stringent recovery time objective (RTO)?
Recovery Time Objective (RTO)AI System ResilienceCritical InfrastructureBusiness Continuity - Question #40AI Security Assurance and Resilience
An attack has occurred on an AI system that has been in use for two years. Which of the following would BEST mitigate the impact of the attack?
AI Model RobustnessAdversarial TrainingPost-Attack MitigationAI System Resilience - Question #41AI Security Risk Management
When deriving statistical information generated by AI systems, which of the following types of risk is MOST important to address?
AI Risk ManagementData BiasStatistical AccuracyFairness in AI - Question #42AI Security Risk Management
Which of the following is the MOST likely cause of model drift?
Model DriftData PoisoningAdversarial AttacksAI Model Reliability - Question #43AI Security Design and Implementation
Security and assurance requirements for AI systems should FIRST be embedded in the:
AI secure designSecurity by designRequirements engineeringAI system lifecycle - Question #44AI Security Strategy and Governance
When preparing for an AI incident, which of the following should be done FIRST?
AI Incident ResponseIncident Response PlanningTeam FormationPreparedness - Question #45AI Security Design and Implementation
Which of the following datasets is used to tune hyperparameters?
Hyperparameter tuningValidation setMachine learning workflowModel development - Question #46AI Security Operations and Monitoring
An AI system that supports critical processes has deviated from expected performance and is producing biased outcomes. Which of the following is the BEST course of action?
AI biasRoot cause analysisIncident managementAI system performance - Question #47AI Security Strategy and Governance
Which of the following is the PRIMARY purpose of a dedicated AI system policy?
AI policyAI governanceAI objectivesFramework development - Question #48AI Security Risk Management
An organization is deploying a large language model (LLM) and is concerned that input manipulations may compromise its integrity. Which of the following is the MOST effective way t...
LLM securityRisk assessmentRisk thresholdBusiness impact analysis - Question #49AI Security Risk Management
When evaluating a third-party AI service provider, which of the following master services agreement provisions is MOST critical for managing security risk?
Third-party riskContractual securityData privacyModel training data - Question #50AI Security Design and Implementation
A data scientist creating categories and training the algorithm on large data sets is an example of which type of AI model learning technique?
Supervised LearningAI Learning TechniquesMachine Learning Concepts