How to continuously prioritise and justify your cyber investment based on quantified risk

Organisations today face an ever-evolving cyber threat landscape, yet many still struggle to connect their security investments to measurable business outcomes. While cyber risk quantification has matured significantly, the challenge remains: how do you move beyond static risk assessments and ensure your cyber investment decisions are continuously informed by real, validated exposure data? This panel brings together expertise spanning cyber risk advisory, market intelligence, continuous threat exposure management, and a practitioner from GME who has been on this journey – to explore a more integrated, data-driven approach to prioritising and justifying cyber spend.

A key focus of this session is the convergence of risk quantification with Continuous Threat Exposure Management (CTEM). Rather than relying solely on theoretical risk models, organisations can now leverage CTEM techniques to technically validate their exposure posture – identifying realistic attack paths, quantifying the likelihood of compromise, and building evidence-based risk scenarios. This approach bridges the gap between security operations and executive risk reporting, enabling organisations to ground their quantified risk in what adversaries can actually exploit, not just what is theoretically possible. 

The panel will discuss how organisations can firm up their risk-based focus through data-driven decision making at multiple levels: from the strategic layer of financial risk modelling and scenario analysis, through to the technical validation layer where CTEM provides continuous visibility into exploitable exposures, attack path viability, and the effectiveness of existing controls. This combination allows security leaders to prioritise remediation and investment based on quantified business impact rather than generic severity scores or compliance checklists. 

The session will also explore how market trends and threat intelligence inform risk scenario development, how to translate technical exposure findings into financial loss estimates that resonate with boards and executives, and how to build a continuous feedback loop between threat exposure data and cyber investment strategy. Importantly, the panel will include Brahman Thiyagalingham, CISO at GME, who will share his first-hand experience of adopting a quantified risk-based approach combined with CTEM – discussing the challenges, lessons learned, and tangible outcomes of embedding this methodology into their security strategy. Panellists will share practical insights on common pitfalls, the role of cross-functional collaboration, and how to present compelling, evidence-backed business cases for cyber investment.

Finally, the panel will examine how quantified risk outputs can be leveraged to support broader risk transfer and mitigation strategies, including optimising cyber insurance programs to ensure coverage aligns with an organisation’s validated risk profile and quantified loss potential.