ILT

C-Risk Education· ED-IN-03

Maximizing Opportunities through Data-Driven Decision Making for Executives

  • Format 1 hour · Instructor-led, on-site or remote · Live polls, Q&A, decision-oriented materials
  • CPE credits 1

€595,00

Contact us to book a session

Instructor-led sessions are scheduled on demand. Email us with your preferred dates and we'll confirm availability.

A focused one-hour briefing for executives — data-driven cyber and technology risk governance aligned with ISO 31000, COSO ERM, NIS2, and DORA.

Overview

This short module is designed specifically for executives and executive committee members responsible for decisions impacting organizational exposure to cyber and technology risk. In one hour, the session highlights the limitations of qualitative risk management approaches and demonstrates how data-driven governance, supported by the FAIR™ Standard, provides quantified, comparable, and defensible inputs for cybersecurity investment decisions.

The training illustrates integration into recognized governance frameworks (ISO 31000, COSO ERM, the Three Lines Model, NIS2, DORA) and strengthens alignment between executive leadership, risk teams, and technical functions.

Who is this for?

  • Executives and executive committee members
  • Cyber program sponsors
  • CIO, CFO, CHRO, Chief Risk Officer
  • General Counsel
  • Business unit leaders and heads of key support functions

What you'll learn

  • Identify the limitations of qualitative risk analyses currently used in most organizations
  • Understand how cyber risk quantification with FAIR can improve strategic decision-making
  • Position cyber risk management within governance frameworks and regulatory requirements
  • Identify first practical steps to deploy or strengthen a data-driven cyber risk management program

Format & duration

1 hour · Instructor-led, on-site or remote · Live polls, Q&A, decision-oriented materials

1 CPE credits awarded on completion.

Prerequisites

None. Designed for participants without a technical cybersecurity or FAIR background.