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Author

Surojoy Gupta

Security Researcher & Writer

Surojoy Gupta is a security researcher and writer with 8 years embedded in the cybersecurity industry, specializing in deepfake fraud, social engineering, and AI-driven threats. His work covers APT threat analysis, ransomware, and the evolving tactics attackers use to exploit enterprise trust at the human layer.

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.
WF
Wire Fraud

Vendor Fraud: Meaning, Examples & Prevention

Vendor fraud diverts company funds through fake invoices, impersonation, and altered bank details. The main types, two real cases, and the controls that stop it.

DF
Deepfake Detection

How to Evaluate Deepfake Detection Tools: A Buyer’s Checklist

Vendor accuracy scores tell you little about production performance. Eleven criteria for evaluating deepfake detection tools, and what to test for each one before you sign.

BE
Business Email Compromise

How to Prevent BEC Attacks

BEC attacks exploit trust rather than systems. Eight practical strategies to verify requests, harden email authentication, and catch AI-driven voice and video impersonation.

Threat Intelligence

Agentic AI Fraud: The New Attack Surface Nobody’s Talking About Yet

AI agents can plan, decide and act with little human input. That autonomy is also a new attack surface. How agentic AI fraud works, what the first AI-run…

DF
Deepfake Detection

Deepfake Job Interviews: Inside the Rise of AI-Generated Fake Candidates

Around 17% of hiring managers have interviewed a candidate using deepfake technology. How AI-generated fake candidates get through hiring, and how to verify who you are really interviewing.

DF
Deepfake Detection

Best AI Deepfake Audio Detection Tools of 2026

The ten strongest AI deepfake audio detection tools of 2026, sorted by the job each one is actually built for.

SE
Social Engineering

6 Detection Methods That Catch AI Social Engineering Attacks

The six detection methods that catch AI social engineering across email, voice, video, and identity, the signals each one reads, and where each one fails.

DF
Deepfake Detection

What Is Deepfake Audio? 10 Detection Methods That Actually Work

A forensic breakdown of the 10 deepfake audio detection methods enterprise fraud teams need in 2026 — what each one catches, where it breaks, and how to layer…

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…

EP
Executive Protection

Executive Cybersecurity Protection Strategies for the Modern Enterprise

Executives are targeted disproportionately by social engineering and deepfake attacks, yet most security stacks were built to defend systems, not people. Here are 8 protection strategies that actually…

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…

BE
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…

DF
Deepfake Detection

Top Strategies to Enhance Enterprise Deepfake Prevention

AI-powered deception has turned social engineering into an assembly line. Here's how enterprise deepfake attacks unfold, why existing security stacks miss them, and what a real prevention program…

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…

DF
Deepfake Detection

10 Best AI Deepfake Detection Tools in 2026

A look at the leading AI deepfake detection tools in 2026, how they compare across voice, video, and image detection, and what to look for when evaluating a…

Threat Intelligence

Famous Deepfake Scams: The 2024 Arup Cyber Attack

How a deepfake video call convinced an Arup employee to wire $25 million to fraudsters in 2024, and what the incident reveals about the gaps in traditional verification…

DF
Deepfake Detection

Deepfake Detection Methods

A breakdown of the six major deepfake detection method families, how each one works, where it breaks down under real attack conditions, and what a resilient detection stack…

SE
Social Engineering

What is social engineering

Social engineering attacks manipulate employees into bypassing security controls entirely. Here's how these attacks work, why they succeed even with strong technical defenses, and how to defend against…

DF
Deepfake Detection

What is a deepfake

A deepfake is AI-generated synthetic media, audio, video, or images, used to impersonate real people. Here's how the technology works and why it's becoming a serious enterprise security…

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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