Michael Matias

Co-Founder & CEO

1

Last night, I wanted to
break into Vero Financial

Let me show you how I did it.

2
VeroFinancial

Embedded finance infrastructure.
$4.2B processed annually.
180+ platform customers.
SOC 2 Type II & PCI-DSS certified.

Strong perimeter security.
Regular pen tests.

Vero Financial Website
3
Vero Financial Careers
The Entry Point

They're hiring.

6 open roles. One stands out:

Staff Software Engineer,
Platform

San Francisco, CA. Full-time.

4
Why This Role?

What does Platform Infrastructure get me?

1

Production Access

Direct access to core systems processing $12B+ in transactions

2

Customer Data

PII, account numbers, transaction history — everything

3

Keys to the Kingdom

Vault access, secrets management, API keys

4

Internal Network

VPN, Slack, GitHub, CI/CD pipelines

One hire. Complete access.

5

So I created the perfect candidate.

Meet Marcus Chen

Senior Software Engineer • 7 years experience • Stripe, Plaid, UC Berkeley

Built in minutes. Tailored for this exact role.

Sourcing
Resume
Interview
Background
Offer
6
The Identity

A LinkedIn profile
that looks perfect

  • ✓ Professional headshot (AI-generated)
  • ✓ Impressive work history
  • ✓ Real company names
  • ✓ 500+ connections
  • ✓ Endorsements & recommendations
Marcus Chen

Marcus Wei Chen

Senior Software Engineer at Stripe | Payments Infrastructure | Ex-Plaid

San Francisco, California, United States · Contact info

500+ connections

Experience

Senior Software Engineer

Stripe · Full-time

Jan 2021 - Present · 4 yrs 1 mo

San Francisco, California

Software Engineer

Plaid · Full-time

Jun 2018 - Dec 2020 · 2 yrs 7 mos

Sourcing ✓
Resume
Interview
Background
Offer
7

Resume

Stripe (2021-2025)
Senior Software Engineer, Payments Infrastructure

Plaid (2018-2020)
Software Engineer, API Platform

UC Berkeley (2014-2018)
B.S. Computer Science, 3.8 GPA

The Story

A resume that
matches perfectly

Consistent dates.
Relevant experience.
References from "former colleagues."

Sourcing ✓
Resume ✓
Interview
Background
Offer
8
The Interview

Marcus aces every round

4 video interviews. 4 glowing reviews.
Using a real-time deepfake the entire time.

✓

Recruiter Screen

"Very articulate, great background"

✓

Technical Interview

"Strong systems design, clean code"

✓

Hiring Manager

"Culture fit, leadership potential"

✓

Executive Round

"Exactly what we're looking for"

WHAT INTERVIEWERS SEE
Marcus on Zoom
Marcus Chen
HD Video
WHAT'S ACTUALLY HAPPENING
?
Real person
DEEPFAKE
→
Real-time face swap
+ voice clone
Marcus "Marcus Chen"
Sourcing ✓
Resume ✓
Interview ✓
Background
Offer
9
Interactive Demo

Can you tell which voice is real?

Listen to these three audio clips. Can you spot the AI?

Voice A

Click to play

Voice B

Click to play

Voice C

Click to play

10
The Verification

Background check:
All Clear

Traditional checks look for bad history.
Marcus has no history.

He was born yesterday.

Background Check Results

  • SSN Verification ✓ VALID
  • Criminal Record ✓ CLEAR
  • Sex Offender Registry ✓ CLEAR
  • Global Watchlist ✓ CLEAR
  • Education Verification ✓ CONFIRMED
Sourcing ✓
Resume ✓
Interview ✓
Background ✓
Offer ✓
11

Every stage of the hiring process
can be bypassed.

Here's what Marcus used at each step:

1

Sourcing

AI-generated profile

500+ fake connections

2

Resume

Tailored by AI

Perfect JD match

3

Interview

Real-time deepfake

Face + voice clone

4

Background

Synthetic identity

No history = clean

✓

Offer Accepted

ACCESS GRANTED

Systems, data, network

12

This isn't hypothetical

It's already happening

DOJ May 2024

"North Korean IT workers infiltrated 300+ US companies using fake identities"

Federal indictment revealed NK operatives got hired at Fortune 500 companies using stolen US identities, AI-enhanced photos, and laptop farms. $6.8M+ funneled to weapons programs.

CyberScoop July 2024

"Cyber firm KnowBe4 hired a fake IT worker from North Korea"

A security awareness company hired a "software engineer" who passed 4 video interviews. He used a stolen US identity and an AI-enhanced photo. Started loading malware on Day 1.

If it can happen to a security company, it can happen to anyone.

13

Think it won't happen to you?

axios
| Technology • August 19, 2025

North Korea's IT worker fraud has fooled nearly every Fortune 500 firm

Security researchers who have been tracking the scheme for years say the scale of the infiltration is staggering...

████████████████████████████████████████████████

████████████████████████████████████

"We have yet to meet a Fortune 500 company that hasn't inadvertently hired a North Korean IT worker."

— Security Researchers, Axios • August 2025

16

If Marcus applied to dozens of companies last month...

How many is he working at right now?

14

And here's the scary part:

Creating Marcus took 15 minutes.

15
minutes per
fake identity
×
20
identities
per week
×
10
companies
each

One determined attacker, working part-time:

200
applications/week
→
20
interviews
→
2
job offers

And that's just one attacker, working part-time.

15

The hiring fraud epidemic

1 in 4

candidate profiles will be fake by 2028

— Gartner

300+

US companies unknowingly hired North Korean IT workers

— DOJ, 2024

220%

increase in NK infiltrations in 12 months

— Fortune, 2025

17

HR is the new attack surface.

Firewall
Encryption
EDR
SIEM
! VULNERABLE

Your perimeter is secure.

Your employees are the vulnerability.

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The Impact

What happens when a bad hire gets in?

$240K

Average cost of a bad hire

Recruiting, onboarding, salary, severance, replacement costs

— SHRM / CareerBuilder

6 months

Average time to detect

That's 6 months of access, learning your systems, building trust

— SHRM

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The Real Danger

But a bad hire isn't just incompetent.
What if they're malicious?

$4.99M

$240K

Insider threat incident cost

Average cost per insider-caused data breach or theft

— Ponemon Institute 2024

292 days

6 mo

To identify and contain

Nearly 10 months of damage before you even know what happened

— IBM 2024

20

End-to-end identity validation
for the entire hiring lifecycle

From the first resume to their last day on the job.
Know who you're hiring. Know it's still them.

21

End-to-End Protection Built-in

Watch Clarity protect every step of your hiring pipeline

Checks
✦
Applicant
Screening
✓
✦
AI Deepfake
Detection
✓
✦
Identity
Check
✓
↓↓↓
Candidate is
Sourced
→
Application
Screening
→
Video
Interview
✕ THREAT BLOCKED
→
Final
Offer
→
Trusted
Hire
→
Employee
Lifecycle
MFA
Access
Ongoing
✓ Legitimate candidate verified  •  Threat neutralized before damage

No workflow changes required. Clarity works invisibly inside your existing process.

22

Your Security Team's View

The Command Center

This is what complete visibility looks like. Let's explore what you're seeing.

Clarity Employee Dashboard
99.2%
Workforce Verified
17
Threats Blocked
Real-time
Continuous Monitoring
23

↳ What you're seeing

1

Before the interview
even starts

Marcus applies. Within seconds, Clarity flags:

• AI-generated profile photo
• No verifiable employment records
• SSN pattern anomaly

Blocked before wasting interviewer time.

Pre-Interview Detection
Integrates with: Greenhouse Lever Ashby iCIMS Workday
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↳ What you're seeing

2

During the interview,
in real-time

Marcus joins the video call. Clarity detects:

• Face swap with boundary artifacts
• Voice cloning with audio-visual desync
• Identity mismatch vs application photos

Interview paused. Security team notified.

LIVE THREAT
!
High-Confidence Deepfake Detected
Multiple fraud signals confirmed — Interview automatically paused
Video Feed
! ANOMALY DETECTED
Marcus Chen • Technical Interview
● REC 23:41
Risk Score
94
/100
Detection Summary
Face Manipulation 96%
Voice Cloning 89%
Identity Match 23%
✓ Interview paused • Slack alert sent • Incident created
2 sec ago
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↳ What you're seeing

3

Continuous employee
verification

Hired employees are continuously verified:

• Periodic biometric checks
• Voice pattern consistency
• Behavioral analysis

Confirm it's still them, not a replacement.

Continuous Verification
26

The Employee Identity Lifecycle

Clarity verifies identity at every critical moment

Covers all stages

Onboarding

Day 1 verification

START

Periodic Checks

Ongoing

Privileged Access

Sensitive ops

MFA Resets

On demand

27

Security tools fail when they create friction

Clarity is built on two pillars

A

Deep Workflow Integration

Works inside the tools you already use. Zero friction for recruiters and hiring managers.

ATS IDP Communication SIEM
B

Advanced Fraud Detection

AI-powered detection catches what humans miss. Deepfakes, synthetic identities, document fraud.

Deepfake Detection Biometrics Liveness
28
A

Deep Workflow
Integration

B

Advanced Fraud
Detection

Integrates into your workflow

Works inside the tools your teams already use — from hiring to ongoing security.

Okta ServiceNow Workday Slack Zoom

Identity

Okta, Azure AD

MFA resets, access requests

ITSM

ServiceNow, Jira

Ticket-triggered verification

HR & ATS

Workday, Greenhouse

Hiring + employee lifecycle

29
A

Deep Workflow
Integration

B

Advanced Fraud
Detection

Multi-layered fraud detection

Our technology pillars work together to identify threats with high confidence.

Deepfake Detection

Face swap artifacts, GAN signatures, temporal inconsistencies

Voice Analysis

Cloning detection, audio-visual sync, voice biometrics

Biometric Match

Cross-document face matching, photo forensics

Identity Signals

Multi-source validation, dark web monitoring, pattern analysis

30

Where Clarity Fits

Drop-in integration with your existing stack

Hiring Pipeline
Greenhouse Greenhouse
Lever Lever
Workday Workday
Candidates
Clarity
Identity Validation Engine
Alerts
Security Stack
Okta
Splunk
ServiceNow ServiceNow
API-first integration
Real-time alerts
Zero workflow disruption
31

When Clarity detects a threat

Alerts route to the right teams, in the tools they already use

THREAT DETECTED
Security Team
Recruiting Team

Security Operations

Splunk
SIEM Alert
ServiceNow
ServiceNow
Incident Created
Slack
Slack
#security-alerts

Recruiting Workflow

Greenhouse
Greenhouse
Candidate Flagged
Workday
Workday
Hiring Paused
Okta
Access Blocked

Full audit trail. Every action logged. Zero manual handoffs.

32

Why existing solutions fall short

Identity fraud requires a fundamentally different approach

Traditional Solutions

Background Checks
HireRight Checkr

Verify resume claims and criminal history

GAP: Can't verify the person is who they claim to be
IDV Platforms
Persona Onfido

Point-in-time document verification at onboarding

GAP: No interview protection, no continuous verification
Video Platforms
Zoom Teams

Enable remote interviews

GAP: No deepfake detection — they trust what they see

Clarity Approach

1
Verify the human, not just documents

Biometric matching across resume, LinkedIn, ID, and live video

2
Catch deepfakes in real-time

AI detection running during live interviews — not after

3
Protect the entire lifecycle

Pre-interview → During → Post-hire continuous verification

4
Security-first alerting

SIEM integration, incident workflows, full audit trail

33

Trusted by industry leaders

Protecting hiring at scale

Deel

Global HR Platform

1M+
candidates screened annually
Clarity protects their entire hiring pipeline

"When you're hiring across 150 countries, you need to know every candidate is who they claim to be."

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Michael Matias | michael@getclarity.ai | (650) 437-6332

getclarity.ai

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