In AI-enabled security analytics, what is a common benefit?

Prepare for the ISACA Advanced in AI Security Management (AAISM) Test. Study with in-depth multiple choice questions, each offering insightful hints and detailed explanations. Equip yourself with expert knowledge and get exam-ready!

Multiple Choice

In AI-enabled security analytics, what is a common benefit?

Explanation:
AI-enabled security analytics excels at turning raw data into actionable intelligence by adding context and guidance. It collects and correlates information from multiple sources, showing what happened, why it matters, and what to do next. This means alerts come with meaning—who/two assets involved, timeline, risk level, and the implications—along with recommended steps to contain, investigate, or remediate, and often guidance that can automate parts of the response. Purely raw logs lack interpretation, and no analysis or random alerts don’t help responders make sense of incidents. So the standout benefit is providing context and suggested courses of action.

AI-enabled security analytics excels at turning raw data into actionable intelligence by adding context and guidance. It collects and correlates information from multiple sources, showing what happened, why it matters, and what to do next. This means alerts come with meaning—who/two assets involved, timeline, risk level, and the implications—along with recommended steps to contain, investigate, or remediate, and often guidance that can automate parts of the response. Purely raw logs lack interpretation, and no analysis or random alerts don’t help responders make sense of incidents. So the standout benefit is providing context and suggested courses of action.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy