In the age of AI-generated content, the real challenge isn’t just detecting falsehood, it’s knowing what to trust at all. As deepfakes and disinformation scale, perception itself becomes a new attack surface.

This week, Matthias Reinwarth and Jonathan Care explore how misinformation and disinformation are reshaping cybersecurity and enterprise risk. They clarify the difference between the two, examine how AI is accelerating the creation of deceptive content, and discuss why traditional trust models are breaking down.

Key Topics

✅ Misinformation vs. disinformation: definitions and impact
✅ Deepfakes, voice cloning, and synthetic identity risks
✅ The “liar’s dividend” and erosion of trust
✅ Emotional manipulation vs. factual accuracy
✅ Enterprise attack vectors and real-world fraud cases
✅ Pre-bunking, awareness training, and process-based defenses

AI has industrialized deception: are your security controls keeping up? In a world of perfect fakes, trust is no longer a given, it’s a security problem.