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Detection Severity Framework

Material Detection Framework

The Material detection framework aims to streamline cloud office security by identifying issues that are focused, meaningful, and actionable, ensuring your security team allocates time effectively.

Guiding Principles

Focused & Actionable Material detections clearly outline risks and responses. Automated actions or API integrations facilitate immediate responses from the platform.

Meaningful Material Issues are intuitive and informative, providing clarity on what happened, why it matters, and recommended next steps.

Severity Reflects True Risk Severity considers business impact and likelihood of harm, not the volume or novelty of data. For instance, a verified compromise could be rated Critical, while frequent anomalies might be Low.

Severity Scale and Definitions

Severity
Definition

Critical

Clear, ongoing compromise or data theft/destruction requiring immediate containment

High

Strong indicator of compromise or dangerous misconfiguration with near-term exploitation risk

Medium

Credible risk needing investigation or hardening but not urgent in isolation

Low

Contextual or noise signals valuable mainly for aggregation or correlation

Info

Operational or hygiene event reflecting configuration or posture rather than threat

How Material Determines and Assigns Severity to Detections

Material assesses each detection by evaluating multiple factors, ensuring accurate severity assignment. This process involves:

  1. Impact Analysis: Understanding the potential consequences on systems or data if the issue isn't addressed promptly.

  2. Likelihood Evaluation: Gauging how probable it is for the detected issue to be exploited or cause harm.

  3. Environmental Context: Considering the specific environment where the detection occurred, including any mitigating factors.

  4. Historical Data: Reviewing similar past incidents to gauge potential patterns or recurring threats.

These factors collectively inform the severity level assigned, helping prioritize responses and allocate resources efficiently.

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