The Security Space | Episode 136 | Isabel Finn | Turning IR Into Actionable Intelligence

Описание: How do you turn chaotic, messy cyber incident data into clear, business aligned intelligence that actually improves security maturity?

In this episode, we are joined by Isabel Finn to explore how IR lessons, better data collection, and intelligent risk modelling can transform how organisations prioritise controls and make threat intelligence truly actionable.

Key Talking Points:

From IR to Maturity: How incident response cases reveal which controls really matter and how organisations can use those insights to prioritise security investments.

Fixing Bad Data at the Source: The reality of joining a company and discovering the data is shoddy and the practical steps taken to clean, structure, and enrich it.

Building a 250-point Incident Dataset: Why capturing TTPs, dwell time, exploited vulnerabilities, impact metrics, and threat actor behaviours creates a radically more useful intelligence picture.

Making Intelligence Actionable: How to turn intelligence from reactive detection only work into strategic, proactive risk reduction and roadmap planning.

Using Insurance Claims Data for CTI: What the insurance sector can teach enterprises about leveraging high-volume incident data to model threats, improve resilience, and justify ROI to the board.

Challenges & Lessons Learned: The toughest obstacles in transforming immature threat intel practices and how organisations can replicate the same improvements.