Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Understanding AI security threats before they become your next crisis On this episode of Razorwire, I explore the emerging frontier of AI security with leading experts Jonathan Care and Martin Voelk. We examine the latest risks, show you how adversaries are exploiting AI systems and share practical advice for professionals working with these rapidly advancing technologies.

Out tomorrow! 77% of enterprises have already faced AI-related security incidents. Are we building innovation—or just our next crisis? AI is becoming more prevalent, especially in the world of cybersecurity. However, there are many AI risks and dangers of AI that people should be aware of, including the weaponisation of ai. It's important to consider the ethical implications of artificial intelligence, especially in fields like ai in healthcare.