How It Really Happened: "Through the A.I. Looking Glass"
Through the A.I. Looking Glass
Security Topic: A.I. Impersonation attacks
NINJIO Season 11: Episode 03
Emotional Susceptibility: Curiosity, Fear, Greed, Obedience, Opportunity, Social, Urgency
A.I.-driven impersonation attacks take center stage as trainees explore how these threats distort perception, erode trust, and fuel paranoia, guided through a surreal, Alice in Wonderland style dreamscape by Jon Lovitz as Data Dave.
Teachable Takeaways
- Never assume an email, link, voice, or video call is legitimate because it looks or sounds real, especially if sensitive information is involved.
- Call back on a known number, start a fresh email, or go to the website yourself. Never rely on links or contacts provided in suspicious messages.
- Treat anything suspicious as unsafe until proven otherwise. Always double-check.
- Social engineering, where bad actors use emotional manipulation techniques to trick people, is more sophisticated when powered by A.I.
Additional Reading
- AI scammer posing as Marco Rubio targets officials in growing threat – The Guardian
- AI impersonation scams are sky-rocketing in 2025, security experts warn – here’s how to stay safe – Tech Radar
- Deepfake Scams and AI Fraud: How to Protect Your Online Security – Tech Times
- Contextualing Deepfake Threats to Organizations – NSA, FBI, and CISA
- Deepfakes: Why Executive Teams Should Prepare for the Cybersecurity and Fraud Risks – Workforce Bulletin
- Deepfake Threats in Cybersecurity: A Coordinated Response and Awareness Effort – Fordham University IT
- Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ – CNN World
About NINJIO
NINJIO reduces human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. Our multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. The proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on NINJIO Phish3D phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
