Jack Jones explains how GRC tools are often more focused on compliance than true risk management. Discover why most tools miss the mark when it comes to managing the frequency and impact of loss events.​

Lisa Ventura highlights the increasing cybersecurity threats, including attacks on nation states and the rise of deep fakes. She also critiques how AI is often used as a marketing buzzword rather than real technological advancement.​

Lisa Ventura talks about how narcissists often rise to the top in organisations through manipulation and charm. She reveals the irony of narcissists being the biggest imposters while explaining how they succeed by pressing the right buttons.

Lisa Ventura discusses the negative impact of micromanagement and toxic leadership on young cybersecurity professionals. Hear how enthusiasm can fade in a hostile environment and why it’s crucial to create a positive workplace for newcomers.

Lisa Ventura shares her personal struggle with imposter syndrome and how it almost held her back from launching a cybersecurity association. Learn about her journey in overcoming self-doubt and raising awareness through an annual imposter syndrome day.

Lisa Ventura explains why small business owners and SMEs often have a false sense of security when it comes to cyber threats. She highlights the risks in supply chains and the importance of taking cybersecurity seriously, regardless of size.

Welcome to Razorwire, the podcast where I, Jame Rees, cover the cybersecurity topics that matter with expert guests from across the industry. We aim to help cybersecurity professionals enhance their skills, improve their work performance, and boost their overall quality of life in this demanding field.

Josh Neil explains why large language models (LLMs) can exacerbate the issue of false positives in threat detection. Discover why more AI isn't always the answer in reducing alert noise.

Richard Cassidy addresses the misconception that LLMs are a 'hive mind' capable of making autonomous decisions. Discover how LLMs actually work and why they're not the magic solution some believe them to be.

Josh Neil explains how LLMs predict word combinations based on probability. Learn how these models generate language and why the prompt you give them significantly influences the output.