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Diopter Team

Threat Intelligence

We research deepfake fraud, synthetic media detection, and AI-enabled social engineering. Everything we publish comes from direct work with security, fraud, and IT teams who are dealing with these threats today.

Where the content comes from
Built from direct engagement with security and fraud practitioners, not secondary sources.
How we write
Every article describes how an attack or detection actually works. No hype, no filler.
Who this is for
Security leads, fraud investigators, and IT decision-makers who need clear, usable signal.
DF
Deepfake Detection

AI Fraud Detection: How It Works for Financial Services

AI fraud detection combines machine learning and behavioral analytics to spot suspicious activity in real time, but traditional systems miss scams built on trust. See how AI detects…

SE
Social Engineering

Caller ID Spoofing: How Fraudsters Impersonate Banks

Caller ID spoofing lets fraudsters display legitimate bank numbers and pair them with AI-generated voices to sound convincing. Here's how bank impersonation calls work, how to spot the…

SE
Social Engineering

8 Best AI Social Engineering Defense Tools in 2026

In 2026, defending against AI-driven social engineering takes more than a secure email gateway. Here's how eight enterprise tools compare across email, voice, video, and identity verification, and…

WF
Wire Fraud

Real Estate Wire Fraud: How Closing Scams Work

Real estate wire fraud targets buyers and sellers during property closings, using impersonation to redirect closing funds to fraudulent accounts. Here's how closing scams work and how to…

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Business Email Compromise

Business Email Compromise (BEC): Complete Guide

Business email compromise (BEC) is one of the most financially damaging cyberattacks organizations face today. Here's how BEC scams work, real-world case studies, and how to protect your…

WF
Wire Fraud

What is Wire Fraud — How It Works & Prevention

Wire fraud is a type of financial fraud that uses electronic transfers to steal money by impersonating a trusted party. Here's how it works and how organizations can…

Deepfake and Synthetic Media
How face swaps, voice clones, and video forgeries are produced, and where detection is actually possible.
Voice and Video Fraud
Real-time impersonation over calls and video, from first contact through to financial escalation.
Social Engineering Arcs
The sequence attackers use to move targets through a decision chain: authority, urgency, isolation, ask.
Defender Playbooks
Detection frameworks, verification workflows, and policy controls mapped to real enterprise threat scenarios.
Live-Call Detection
How AI detection works during a call in real time, including how verdicts are generated and surfaced.
Real Incidents and Case Analysis
Documented attacks broken down by stage, method, and the points where they could have been stopped.
01
We start with practitioners
Our research is grounded in direct conversation with the security and fraud teams who are managing these threats right now, not pulled from press releases or vendor reports.
02
We describe mechanisms, not opinions
Every article is structured around how something works: the attack sequence, the detection surface, the decision point. We let the structure carry the weight, not the adjectives.
03
We review against our own detection research
Before anything publishes, it gets checked against Diopter’s internal research to make sure the technical framing holds up.
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Want to talk to the team?

If you’re dealing with deepfake fraud, synthetic media threats, or need to understand what your organization is actually exposed to, we’d like to hear from you.