---
title: "Risk Quantification Updates v8"
slug: "july-quantification-enhancements"
updated: 2025-05-01T11:20:13Z
published: 2025-05-01T11:20:13Z
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.safe.security/llms.txt
> Use this file to discover all available pages before exploring further.

# Risk Quantification Updates v8

## 1. Findings Prioritization

![](https://cdn.document360.io/23dc20b8-a989-48c0-8653-f1d3e4abc734/Images/Documentation/image(98).png)

- Introducing a new risk-based approach to prioritize security findings.
- All security findings are linked to one or more FAIR-CAM Controls.
- Control maturity is dynamically calculated based on these security findings.
- This updates**the Likelihood**and **Loss Magnitude**of Risk Scenarios.

---

## 2. Threat Center - Live

![](https://cdn.document360.io/23dc20b8-a989-48c0-8653-f1d3e4abc734/Images/Documentation/image(121).png)

- Introducing external Threat Feeds.
- Threat Feeds now contribute to Threat Event Frequency.
- This dynamically updates the **Likelihood** of Risk Scenarios.

---

## 3. Initial Attack Method - Any

![](https://cdn.document360.io/23dc20b8-a989-48c0-8653-f1d3e4abc734/Images/Documentation/3(39).png)

- The scoping of the Risk Scenario includes the Initial Attack Method (IAM).
- IAM-Any has now been enhanced to aggregate all individual IAMs with respective Attack Surfaces.
- This improves the accuracy of the **Likelihood** of IAM-Any-based Risk Scenarios.

## 4. FAIR CAM Control and Maturity Updates

![](https://cdn.document360.io/23dc20b8-a989-48c0-8653-f1d3e4abc734/Images/Documentation/4(39).png)

- Several updates have been made to FAIR-CAM Control mappings.
- Control maturities have been adjusted, and the overall maturities for M1, M2, and M3 have been recalibrated.
- These new mappings will update the Control Maturity %.

This improves the accuracy of **Likelihood** and **Loss Magnitude**.

## 5. FAIR-MAM Updates

![](https://cdn.document360.io/23dc20b8-a989-48c0-8653-f1d3e4abc734/Images/Documentation/image(99).png)

- The algorithm for calculating loss magnitude for certain loss drivers with a Likelihood aspect has been improved.
- Previously, events with a Likelihood below 50% underestimated Loss Magnitude.
- This improves the accuracy of **Loss Magnitude**.

## Webinar

For more details, watch the [Webinar](https://drive.google.com/file/d/1CsFOllYXqDByj7YgOyyQqAbFtVKkBXOB/view) covering these changes.

> Note: For questions or concerns, contact your Customer Success Partners.