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Author

Rohan Gupta

Co-founder & CEO, Diopter

Rohan Gupta is the co-founder and CEO of Diopter, which detects deepfake video, cloned voices and AI-driven social engineering on live calls. He previously founded QuillBot and led it through a $200M exit to Course Hero, now Learneo, in 2021. QuillBot today serves more than 35 million monthly users.

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.

From building generative AI to defending against it

Rohan founded QuillBot in 2017 after posting an early version of the tool on Reddit. It became one of the most widely used AI writing platforms and was acquired by Course Hero, now Learneo, in August 2021.

He co-founded Diopter with Jeremy Pippin after seeing how quickly generative AI moved from productivity use cases to impersonation and fraud. Diopter scores live video and voice calls for synthetic media, and for the pattern attackers actually run: authority, urgency, isolation, escalation, and the ask.

Fraud is rarely detectable from a single frame or voice sample. It unfolds across a conversation, and the arc is the unit of analysis.

Diopter’s stated position on detection, from the company’s founding principles.

Track record

PresentCo-founder and CEO, Diopter

AI social-engineering and deepfake detection for live video and voice calls. Detection runs on the endpoint, so only verdicts and scores leave the device.

2017 to 2021Founder and CEO, QuillBot

Built an AI writing platform that today serves more than 35 million monthly users. Raised a $4.25M seed from GSV Ventures and Sierra Ventures, and led the company through a $200M exit to Course Hero, now Learneo, in August 2021.

Recognition and press

Forbes · 202230 Under 30, Education

Recognised in the 2022 Education class for QuillBot.

Forbes · 2021The Next 1000, Enterprise Technology

Recognised for building QuillBot into a widely used AI writing platform.

Ness Labs · 2023Tools for Thought interview

On integrating every step of the writing process, and how AI can support language learners.

AsiaTechDaily · 2020How he raised $4.25M to make writing painless

On the seed round, and on building a decision-making process rather than following best practices.

At a glance
RoleCo-founder & CEO, Diopter
PreviouslyFounder & CEO, QuillBot
Exit$200M, 2021
RecognitionForbes 30 Under 30, Next 1000
EducationBS Finance, MS CS, UIUC
Based inChicago, Illinois
Focus areas
Deepfake video detectionVoice cloning and vishingAI social engineeringExecutive impersonationWire and payment fraudSynthetic candidate fraudApplied generative AI at scale
Contact

For press, research questions or corrections, reach Rohan on LinkedIn or via Diopter.

Articles reviewed

Diopter research checked for technical accuracy before publication.

Social EngineeringWhat is Spear Phishing: Meaning, Examples & How to Prevent It23 Sep 2026Voice & Call AttacksWhat is Vishing in Cybersecurity: Meaning, Examples & Prevention Tips22 Sep 2026ImpersonationSynthetic Identity Fraud: Detection and Prevention4 Sep 2026Deepfake DetectionDeepfake Detection for Video Conferencing: Zoom, Teams, Meet, and Webex3 Sep 2026Deepfake DetectionDeepfake Video Detection Explained: How to Spot Them and How to Stay Safe31 Aug 2026Social EngineeringAI Social Engineering: How Is AI Changing the Social Engineering Attack Landscape25 Aug 2026ImpersonationHelp Desk Scam: Types, Examples & Prevention Tips20 Aug 2026Wire & Payment FraudInvoice Fraud: Types, Examples & Detection Guide13 Aug 2026Wire & Payment FraudVendor Fraud: Meaning, Examples & Prevention12 Aug 2026Compare & EvaluateHow to Evaluate Deepfake Detection Tools: A Buyer’s Checklist7 Aug 2026Wire & Payment FraudHow to Prevent BEC Attacks6 Aug 2026Defense & DetectionAgentic AI Fraud: The New Attack Surface Nobody’s Talking About Yet4 Aug 2026Deepfake DetectionDeepfake Job Interviews: Inside the Rise of AI-Generated Fake Candidates3 Aug 2026Defense & Detection6 Detection Methods That Catch AI Social Engineering Attacks27 Jul 2026Deepfake DetectionWhat Is Deepfake Audio? 10 Detection Methods That Actually Work20 Jul 2026Deepfake DetectionAI Fraud Detection: How It Works for Financial Services15 Jul 2026Voice & Call AttacksCaller ID Spoofing: How Fraudsters Impersonate Banks14 Jul 2026ImpersonationExecutive Cybersecurity Protection Strategies for the Modern Enterprise10 Jul 2026Wire & Payment FraudReal Estate Wire Fraud: How Closing Scams Work3 Jul 2026Wire & Payment FraudBusiness Email Compromise (BEC): Complete Guide30 Jun 2026Deepfake DetectionTop Strategies to Enhance Enterprise Deepfake Prevention30 Jun 2026Wire & Payment FraudWhat is Wire Fraud: How It Works & Prevention25 Jun 2026ImpersonationFamous Deepfake Scams: The 2024 Arup Cyber Attack22 Jun 2026Deepfake DetectionDeepfake Detection Methods16 Jun 2026
SE
Social Engineering

What is Spear Phishing: Meaning, Examples & How to Prevent It

Spear phishing is a targeted form of phishing that uses details about a specific person or organization to make the message seem legitimate. Here's how it works, with…

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Threat Intelligence

What is Vishing in Cybersecurity: Meaning, Examples & Prevention Tips

Vishing turns a phone call into a weapon: scammers use AI voice cloning and caller ID spoofing to impersonate banks, IT staff and executives. Here's how these attacks…

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Threat Intelligence

Synthetic Identity Fraud: Detection and Prevention

Synthetic identity fraud blends real and fabricated details into an identity that passes traditional checks. How it unfolds, the signals that reveal it, and how to prevent it.

DF
Deepfake Detection

Deepfake Detection for Video Conferencing: Zoom, Teams, Meet, and Webex

How deepfake attacks run on Zoom, Teams, Meet and Webex, why single-frame checks miss them, and what continuous detection during a live call actually looks at.

DF
Deepfake Detection

Deepfake Video Detection Explained: How to Spot Them and How to Stay Safe

How deepfake video detection actually works in 2026: the seven method families, what each one catches, where each one breaks, and how to layer them so a face…

SE
Social Engineering

AI Social Engineering: How Is AI Changing the Social Engineering Attack Landscape

AI social engineering uses AI to make impersonation attacks more convincing and far harder to spot. Here's how the attacks work, why they succeed, and what actually detects…

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Threat Intelligence

Help Desk Scam: Types, Examples & Prevention Tips

Help desk scams turn IT support into an entry point, using impersonation to reset credentials and bypass MFA. Here's how the attack runs and how to shut it…

WF
Wire Fraud

Invoice Fraud: Types, Examples & Detection Guide

Invoice fraud uses fake invoices, vendor impersonation, and BEC to trigger wrong payments. The main types, a real case, warning signs, and how to prevent it.

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.

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Threat Intelligence

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.

WF
Wire Fraud

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.

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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.

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Threat Intelligence

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 them.

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…

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Threat Intelligence

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…

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Threat Intelligence

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…

WF
Wire Fraud

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…

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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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