In early 2025, a multinational firm nearly wired US $499,000 after executives joined what seemed like a routine internal video conference. The “CFO” and other senior staff appeared on the screen — and sounded authentic, issuing urgent instructions for a confidential fund transfer.
Every face and voice on the call was a high‑quality deepfake. The finance director only recognized the fraud when irregularities surfaced — and the transfer was thankfully halted just in time.
🧠 But what are deepfakes and synthetic media?
In New Jersey, such technologies raise concern, given how easily they can be misused to mislead customers, impersonate other users, or influence public perception.

⚖️ Is New Jersey regulating deepfakes?
- As per the 2024 Global Call Threat Report by Hiya, deepfake voice scams are among the most financially damaging fraud calls. While the average victim of a typical fraud call lost about US $539, losses from AI-generated deepfake calls are often far higher — many victims report losses over US $6,000.
- The 2025 analysis from Pindrop shows a 1,300% increase in deepfake-related fraud attempts over 2024 — with synthetic-voice attacks surging especially in banking, insurance, and retail sectors.
These confirm that deepfake and synthetic-media risks are not hypothetical. They’re already impacting organizations and individuals — with serious financial and reputational consequences.
🛡️ What can organizations do to protect themselves?
- Train employees to recognize AI-generated scams or suspicious communications.
- Implement content-verification tools to detect deepfakes or synthetic audio/video.
- Use strong identity verification and MFA (multi-factor authentication) — especially for financial or sensitive communications.
- Harden network, cloud, and email security infrastructure to reduce exposure to scams.
- Establish internal policies about acceptable and prohibited AI usage and media distribution.

🔒 How can The SamurAI help New Jersey businesses?
- Deploying AI-powered threat detection that flags synthetic-media attacks before they cause damage.
- Setting up secure network infrastructure and identity-verification workflows to reduce exposure.
- Developing internal policies and staff training on safe AI use and deepfake awareness.
- Building incident response plans — so if a deepfake or synthetic-media incident occurs, you’re ready.
- Securing cloud environments and communication tools where many AI-driven scams originate.