Intelligence led risk: Leveraging threat operations to deliver effective risk management

Cyberattacks pose a significant threat to organisations, presenting substantial business risks. Chief executive officers (CEOs) and boards must allocate investments to mitigate these risks effectively. Many leaders, however, struggle to incorporate cyber risk into their broader enterprise risk management strategies, often citing its technical complexity as a challenge. Yet, other risks — such as regulatory or financial — are also technical but do not face the same integration difficulties. This paper contends that cyber risk is challenging not due to its technical nature, but because it is non-deterministic. Unlike other risks, cyberattacks stem from human actions. Humans are unpredictable with diverse motivations, therefore estimating the likelihood of a cyber event is inherently more difficult than forecasting other more deterministic risks. Traditionally, threat operations teams focus on operational goals such as improving protective monitoring and strengthening security architecture. By assessing the intent, capability and opportunity of threats, however, these teams can also aid leadership in evaluating the probability of cyber incidents causing an impact, thereby enhancing overall risk management. This paper introduces a threat operations framework that integrates threat intelligence, hunting and emulation to provide a more precise likelihood assessment. By developing ‘cyber narratives’, these teams can translate technical risks into business risks, offering strategic insights for informed decision making.

Authors

Institutions

Publication Details

Journal
Cyber security.
Published
2025-04-25
DOI
https://doi.org/10.69554/qang4128
Primary Topic
Competitive and Knowledge Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligence led risk: Leveraging threat operations to deliver effective risk management

K.E. Nicholson
Cyber security.
Competitive and Knowledge Intelligence
article

Intelligence led risk: Leveraging threat operations to deliver effective risk management

K.E. Nicholson
article en

Abstract

Cyberattacks pose a significant threat to organisations, presenting substantial business risks. Chief executive officers (CEOs) and boards must allocate investments to mitigate these risks effectively. Many leaders, however, struggle to incorporate cyber risk into their broader enterprise risk management strategies, often citing its technical complexity as a challenge. Yet, other risks — such as regulatory or financial — are also technical but do not face the same integration difficulties. This paper contends that cyber risk is challenging not due to its technical nature, but because it is non-deterministic. Unlike other risks, cyberattacks stem from human actions. Humans are unpredictable with diverse motivations, therefore estimating the likelihood of a cyber event is inherently more difficult than forecasting other more deterministic risks. Traditionally, threat operations teams focus on operational goals such as improving protective monitoring and strengthening security architecture. By assessing the intent, capability and opportunity of threats, however, these teams can also aid leadership in evaluating the probability of cyber incidents causing an impact, thereby enhancing overall risk management. This paper introduces a threat operations framework that integrates threat intelligence, hunting and emulation to provide a more precise likelihood assessment. By developing ‘cyber narratives’, these teams can translate technical risks into business risks, offering strategic insights for informed decision making.

Cyber security.Vol. 8(4)
Office for National Statistics (GB)
Openalex Percentile: Top 88%
Competitive and Knowledge Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.