Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Are you prepared for the psychological toll that comes with handling disturbing content in the cybersecurity world? Welcome to Razorwire, where today we’re exploring the realities behind a career in cyber — from technical warfare to the often-overlooked human cost. In this episode, I’m joined by therapist and consultant Eve Parmiter to examine the real psychological impact of repeated exposure to distressing material that many of us face during incident investigations, content moderation and threat research.

Some content stays with you forever. The worst images don’t just fade — they reappear, uninvited, at 3am. Cybersecurity professionals dealing with traumatic material can experience delayed, persistent emotional fallout. It’s not weakness. It’s impact.#CyberSecurity.

Out on 17th September! Some trauma doesn’t come from what happens to you — but from what you witness online. In this powerful episode preview, Eve Parmiter shares raw insight into the mental health challenges facing cybersecurity professionals exposed to extreme, distressing or graphic material in their work. From secondary trauma to organisational neglect, we explore why the industry needs better language, better support, and far less stigma.#CyberSecurity.

What if attackers poison your model before you even start training it? Contaminated data leads to dangerous outcomes—and most businesses don’t even know what their AI was trained on.

Over three-quarters of enterprises have suffered AI-related security incidents. Yet most lack any structured testing or mitigation. As AI adoption surges, we’re creating blind spots faster than we can fix them.

AI adoption is outpacing regulation. Most companies have no governance, no security testing and no process for managing the risks. The question is: how long can that last?

You can’t secure what you haven’t tested. AI systems like LLMs and agentic bots have new vulnerabilities that require constant adversarial testing. Most companies aren’t ready—and that’s where attackers strike first.#AIPenTesting.

AI hallucinations aren’t just annoying—they’re a liability. From misinformation to misleading search results, one hallucinated answer can cause real harm to customers and reputations.

AI chatbots are already answering medical queries. But what happens when the advice is wrong—and someone gets hurt? From liability to hallucinations, we’re on shaky ground.

Security teams aren’t ready for autonomous agents that trigger real-world actions. These aren’t just chatbots—they’re systems with access to your APIs and infrastructure.