Cuestionario vinculado a una guía · duro Nivel

Prueba de IA en pruebas de penetración automatizadas

Compruebe cómo los agentes de pruebas de penetración de IA planifican a partir del estado observado del sistema, interpretan los resultados de las herramientas y encadenan los hallazgos respetando el alcance autorizado.

Pregunta 1 de 8

Which phases does NIST’s technical guide include in a security testing and assessment process?

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  1. Which phases does NIST’s technical guide include in a security testing and assessment process?
    • Planning, discovery, attack, and reporting
    • Model pretraining, fine-tuning, deployment, and monitoring
    • Data labeling, medical diagnosis, treatment, and follow-up
    • Design, advertising, checkout, and customer support
  2. ¿Para qué suele utilizar un 'planificador' un agente de pruebas de penetración basado en LLM?
    • Programar las vacaciones de los empleados
    • Razonamiento sobre los objetivos y el estado del sistema para decidir los próximos pasos del ataque.
    • Diseñar el logotipo de la empresa.
    • Envío de correos electrónicos de marketing
  3. What is a goal of NIST target-vulnerability validation techniques?
    • Guarantee that an attacker will exploit every vulnerability
    • Replace the need to define test scope
    • Corroborate that a suspected vulnerability exists in the target environment
    • Automatically assign legal liability for a weakness
  4. Which sequence matches three enterprise tactics in MITRE ATT&CK?
    • Classification, Regression, then Clustering
    • Planning, Discovery, then Reporting
    • Encryption, Compression, then Backup
    • Initial Access, Privilege Escalation, then Lateral Movement
  5. ¿Cuál es un riesgo clave de la IA en las pruebas de penetración?
    • Las mismas técnicas pueden reducir la barrera para los atacantes maliciosos y los agentes pueden causar interrupciones no deseadas.
    • Hace que las computadoras funcionen más rápido
    • Solo funciona en papel
    • Elimina la necesidad de contraseñas
  6. What did the cited LLM penetration-testing benchmark evaluate?
    • Whether autonomous testing eliminates the need for authorization
    • How language models and a PentestGPT system performed on benchmark penetration-testing tasks
    • Whether every vulnerability can be exploited from noisy tool output
    • Whether AI testing is more common than annual manual testing
  7. In the guide’s attack-graph description, what do the nodes and edges represent?
    • Nodes are users, and edges are their email messages
    • Nodes are model layers, and edges are attention heads
    • Nodes are system states, and edges are exploits that can move between states
    • Nodes are vulnerabilities, and edges are severity labels
  8. Why does an AI pen-testing agent need human authorization and a defined scope?
    • Authorization makes scan results automatically accurate
    • Scope is needed only to improve language-model fluency
    • A defined scope guarantees every vulnerability is exploitable
    • Its offensive actions can disrupt systems, and testing must stay within approved targets