Why AI changes the cybersecurity game on both sides
AI tools open fresh vulnerabilities: sensitive data pasted into public models, prompt injection that hijacks an assistant, confidential information surfacing in outputs. At the same time, attackers use AI to craft convincing phishing, deepfakes and faster intrusions.
I cover both sides: how to secure the AI your teams use (data, access, prompts, integrations) and how to recognise and resist AI-powered attacks. The aim is concrete reflexes for technical and non-technical people alike.
New tool, new threat surface: securing AI means protecting your data and spotting AI-crafted attacks.