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June 12, 2024

Meeten Malware: A Cross-Platform Threat to Crypto Wallets on macOS and Windows

Cado Security Labs (now part of Darktrace) identified a "Meeten" campaign deploying a cross-platform (macOS/Windows) infostealer called Realst. Threat actors create fake Web3 companies with AI-generated content and social media to trick targets into downloading malicious meeting applications.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Tara Gould
Malware Research Lead
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Jun 2024

Introduction: Meeten malware

Researchers from Cado Security Labs (now part of Darktrace) have identified a new sophisticated scam targeting people who work in Web3. The campaign includes cryptostealer Realst that has both macOS and Windows variants, and has been active for around four months. Research shows that the threat actors behind the malware have set up fake companies using AI to make them increase legitimacy. The company, which is currently going by the name “Meetio”, has cycled through various names over the past few months. In order to appear as a legitimate company, the threat actors created a website with AI-generated content, along with social media accounts. The company reaches out to targets to set up a video call, prompting the user to download the meeting application from the website, which is Realst info stealer. 

Meeten

Screenshot of fake company homepage
Figure 1: Fake company homepage

“Meeten” is the application that is attempting to scam users into downloading an information stealer. The company regularly changes names, and has also gone by Clusee[.]com, Cuesee, Meeten[.]gg, Meeten[.]us, Meetone[.]gg and is currently going by the name Meetio. In order to gain credibility, the threat actors set up full company websites, with AI-generated blog and product content and social media accounts including Twitter and Medium.

Based on public reports from targets (withheld from this post for privacy), the scam is conducted in multiple ways. In one reported instance, a user was contacted on Telegram by someone they knew who wanted to discuss a business opportunity and to schedule a call. However, the Telegram account was created to impersonate a contact of the target. Even more interestingly, the scammer sent an investment presentation from the target’s company to him, indicating a sophisticated and targeted scam. Other reports of targeted users report being on calls related to Web3 work, downloading the software and having their cryptocurrency stolen.

After initial contact, the target would be directed to the Meeten website to download the product. In addition to hosting information stealers, the Meeten websites contain Javascript to steal cryptocurrency that is stored in web browsers, even before installing any malware. 

Script
Figure 2: Script

Technical analysis

macOS version

Name: CallCSSetup.pkg

Meeten downloads page
Figure 3: Downloads page on Meeten

Once the victim is directed to the “Meeten” website, the downloads page offers macOS or Windows/Linux. In this iteration of the website, all download links lead to the macOS version. The package file contains a 64-bit binary named “fastquery”, however other versions of the malware are distributed as a DMG with a multi-arch binary. The binary is written in Rust, with the main functionality being information stealing. 

When opened, two error messages appear. The first one states “Cannot connect to the server. Please reinstall or use a VPN.” with a continue button. Osascript, the macOS command-line tool for running AppleScript and JavaScript is used to prompt the user for their password, as commonly seen in macOS malware. [1]

Pop up
Figure 4: Popup that requests users password
Code
Figure 5

The malware iterates through various data stores, grabs sensitive information, creates a folder where the data is stored, and then exfiltrates the data as a zip. 

Folders
Figure 6: Folders and files created by Meeten

Realst Stealer looks for and exfiltrates if available:

  • Telegram credentials
  • Banking card details
  • Keychain credentials
  • Browser cookies and autofill credentials from Google Chrome, Opera, Brave, Microsoft Edge, Arc, CocCoc and Vivaldi
  • Ledger Wallets
  • Trezor Wallets

The data is sent to 139[.]162[.]179.170:8080/new_analytics with “log_id”, “anal_data” and “archive”. This contains the zip data to be exfiltrated along with analytics that include build name, build version, with system information. 

System information
Figure 7: System information that is sent as a log

Build information is also sent to 139[.]162[.]179.170:8080/opened along with metrics sent to /metrics. Following the data exfiltration, the created temporary directories are removed from the system. 

Windows version

Name: MeetenApp.exe

Meeten Setup Install
Figure 8: Meeten Setup install

While analyzing the macOS version of Meeten, Cado Security Labs identified a Windows version of the malware. The binary, “MeetenApp.exe” is a Nullsoft Scriptable Installer System (NSIS) file, with a legitimate signature from “Brys Software” that has likely been stolen.

Digital signature details
Figure 9: Digital Signature of Meeten

After extracting the files from the installer, there are two folders $PLUGINDIR and $R0. Inside $PLUGINDIR is a 7zip archive named “app-64” that contains resources, assets, binaries and an app.asar file, indicating this is an Electron application. Electron applications are built on the Electron framework that is used to develop cross-platform desktop applications with web languages such as Javascript. App.asar files are used by Electron runtime, and is a virtual file system containing application code, assets, and dependencies.

File structure
Figure 10: Electron application meeten structure
Meeten's app .asar file
Figure 11: Structure of Meeten's App.asar file
package.json
Figure 12: Package.json

After extracting the contents of app.asar, we can see the main script points to index.js containing:

"use strict"; 
require("./bytecode-loader.cjs"); 
require("./index.jsc"); 

Both of these are Bytenode Compiled Javascript files. Bytenode is a tool that compiles JavaScript code into V8 bytecode, allowing the execution of JavaScript without exposing the source code. The bytecode is a low-level representation of the JavaScript code that can be executed by the V8 JavaScript engine which powers Node.js. Since the Javascript is compiled, reverse engineering of the files is more difficult, and less likely to be detected by security tools. 

While the file is compiled, there is still some information we can see as plain text. Similarly to the macOS version, a log with system information is sent to a remote server. A secondary password protected archive , “AdditionalFilesForMeet.zip” is retrieved from deliverynetwork[.]observer into a temporary directory “temp03241242”.

URL
Figure 13

From AdditionalFilesForMeet.zip is a binary named “MicrosoftRuntimeComponentsX86.exe” This binary gathers system information including HWID, geo IP, hostname, OS, users, cores, RAM, disk size and running processes. 

Exfiltrated system information
Figure 14: System information exfiltrated by Meeten

This data is sent to 172[.]104.133.212/opened, along with the build version of Meeten. 

Data
Figure 15

An additional payload is retrieved “UpdateMC.zip” from “deliverynetwork[.]observer/qfast” into AppData/Local/Temp. The archive file extracts to UpdateMC.exe. 

UpdateMC

UpdateMC.exe is a Rust-based binary, with similar functionality to the macOS version. The stealer searches in various data stores to collect and exfiltrate sensitive data as a zip. Meeten has the ability to steal data from:

  • Telegram credentials
  • Banking card details
  • Browser cookies, history and autofill credentials from Google Chrome, Opera, Brave, Microsoft Edge, Arc, CocCoc and Vivaldi
  • Ledger Wallets
  • Trezor Wallets
  • Phantom Wallets
  • Binance Wallets

The data is stored inside a folder named after the users’ HWID inside AppData/Local/Temp directory before being exfiltrated to 172[.]104.133.212. 

Domains.txt
Figure 16

For persistence, a registry key is added to HKEY_CURRENT_USER\SOFTWARE\Microsoft\Windows\CurrentVersion\Run to ensure that the stealer is run each time the machine is started. 

Code
Figure 17: Disassembled code where 0xFFFFFFFF80000001 = HKEY_CURRENT_USER
Code
Figure 18: Meeten uses RegSetValueExW call to set registry key
Computer folder
Figure 19

Key takeaways 

This blog highlights a sophisticated campaign that uses AI to social engineer victims into downloading low detected malware that has the ability to steal financial information. Although the use of malicious Electron applications is relatively new, there has been an increase of threat actors creating malware with Electron applications. [2] As Electron apps become increasingly common, users must remain vigilant by verifying sources, implementing strict security practices, and monitoring for suspicious activity.

While much of the recent focus has been on the potential of AI to create malware, threat actors are increasingly using AI to generate content for their campaigns. Using AI enables threat actors to quickly create realistic website content that adds legitimacy to their scams, and makes it more difficult to detect suspicious websites. This shift shows how AI can be used as a powerful tool in social engineering. As a result, users need to exercise caution when being approached about business opportunities, especially through Telegram. Even if the contact appears to be an existing contact, it is important to verify the account and always be diligent when opening links. 

Indicators of compromise (IoCs)

http://172[.]104.133.212:8880/new_analytics

http://172[.]104.133.212:8880/opened

http://172[.]104.133.212:8880/metrics

http://172[.]104.133.212:8880/sede

139[.]162[.]179.170:8080

deliverynetwork[.]observer/qfast/UpdateMC.zip

deliverynetwork[.]observer/qfast/AdditionalFilesForMeet.zip

www[.]meeten.us

www[.]meetio.one

www[.]meetone.gg

www[.]clusee.com

199[.]247.4.86

File / md5

CallCSSetup.pkg  9b2d4837572fb53663fffece9415ec5a  

Meeten.exe  6a925b71afa41d72e4a7d01034e8501b  

UpdateMC.exe  209af36bb119a5e070bad479d73498f7  

MicrosoftRuntimeComponentsX64.exe d74a885545ec5c0143a172047094ed59  

CluseeApp.pkg 09b7650d8b4a6d8c8fbb855d6626e25d

MITRE ATT&CK

Technique name / ID

T1204  User Execution  

T1555.001  Credentials From Password Stores: Keychain  

T1555.003 Credentials From Password Stores: Credentials from Web Browsers  

T1539  Steal Web Session Cookie  

T1217 Browser Information Discovery  

T1082  System Information Discovery  

T1016 System Network Configuration Discovery  

T1033  System Owner/User Discovery  

T1005 Data from Local System

T1074  Local Data Staging  

T1071.001 Application Layer Protocol: Web Protocols  

T1041 Exfiltration Over C2 Channel  

T1657 Financial Theft  

T1070.004 File Deletion  

T1553.001 Subvert Trust Controls: Gatekeeper Bypass  

T1553.002  Subvert Trust Controls: Code Signing  

T1547.001 Boot or Logon Autostart Execution: Registry Run Folder  

T1497.001  Virtualization/Sandbox Evasion: System Checks  

T1058.001 Command and Scripting Interpreter: Powershell  

T1016 Network Configuration Discovery  

T1007 System Service Discovery

References

  1. https://www.darktrace.com/blog/from-the-depths-analyzing-the-cthulhu-stealer-malware-for-macos
  2. https://research.checkpoint.com/2022/new-malware-capable-of-controlling-social-media-accounts-infects-5000-machines-and-is-actively-being-distributed-via-gaming-applications-on-microsofts-official-store/  
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Tara Gould
Malware Research Lead

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June 12, 2026

Cybersecurity for the Sports Sector: The Threats Facing a Digitized Industry in 2026

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Securing sporting events in 2026

When you walk into a stadium on game day, you are entering a small smart city. Ticketing, turnstiles, payments, public Wi-Fi for tens of thousands of fans, CCTV, lighting, even the HVAC all run on connected systems. The experience for fans has become unmatched, but that dependency has created a much larger attack surface than people may realize.

Our latest threat research backs that up. In the past year, a survey that Darktrace commissioned found that 84% of respondents from professional sports organizations had at least one cyber incident, and 57% were hit more than once. For a sector that relies on the impact of the live moment, those numbers translate directly into operational risk.

Why sports is a target for cyber attacks

Sport is a highly visible target with fixed timelines, so attackers know exactly when disruption will have the most impact. It also holds valuable data, athlete medical records, contracts, sponsorship deals, which carry financial, reputational, and regulatory risk if exposed. At the same time, delivery depends on a wide set of third parties: ticketing providers, broadcasters, cloud services, stadium technology. Any of those connections can become an entry point. Put visibility, timing, data, and dependency together, and you get an environment where even a small foothold can turn into a visible, time-critical incident.

How attackers target email and identity

Email and identity remain the front door. From October 2025 through March 2026, Darktrace / EMAIL™ detected more than 116,000 phishing emails aimed at sports organizations across our customer base, and our sports customers received 19% more phishing emails than organizations in other sectors. The numbers tell the story:

BY THE NUMBERS

  • 21% of phishing emails were aimed at VIPs.
  • 37% used novel social engineering.
  • 84% of malicious emails passed DMARC authentication

A large proportion of these emails passed authentication checks, which means traditional security controls are no longer a reliable barrier. Attackers are not relying on spoofed domains – they're using legitimate infrastructure and trusted platforms. Behavior matters. Once an account is compromised, the behavior shifts quickly. Login patterns change, inbox rules are created to hide responses, and accounts start being used for internal discovery or further phishing. These aren’t high-noise events. They sit in normal workflows, which is why they’re often missed.

Ransomware tells a similar story. In one case inside a sports deployment, attackers had quietly been moving data to an outside server for a full two weeks before they triggered encryption. By the time the ransom note appeared, the outcome was already set. That sequence shows up consistently is access first, movement next, disruption last. If detection starts at encryption, it’s already too late.

Why AI is an emerging blind spot in sports

The increasing adoption of AI is expanding the potential attack surface. 72% of the security professionals we surveyed expect AI to increase their cyber risk over the next year, and yet 35% are already using or planning to use it in stadium operations, the most critical functions to protect. In addition to prompt injection and AI build risks, shadow AI is becoming a more immediate issue. Staff are already putting sensitive data—performance metrics, scouting reports, contracts, health data—into tools with little or no governance. The upside is clear, but so is the exposure—and it is happening before most organizations have any visibility or control. At the same time, attackers are using the same technology to scale phishing and social engineering. The net effect is simple: more exposure, at higher speed.

How can cybersecurity professionals prepare

Across high profile events, Darktrace’s experience shows that effective cyber defense includes preparation, real‑time visibility, and the ability to respond dynamically and decisively when timing, complexity, and public exposure converge.

There are a few strategic implications for cybersecurity teams:

  • Get behavioral visibility across IT and OT, not just corporate systems.
  • Treat identity as your control plane. Most attacks in this sector start with credentials, not malware. MFA with behavioral detection helps solve that challenge.
  • Control third party and AI access the same way you control your own environment.
  • Rehearse response for live conditions, where decisions happen in minutes. Detection and response need to account for non-ideal conditions when engineers are under pressure and time constrained. In sport, timing is what turns small issues into major incidents. The same activity that would be manageable midweek becomes critical during a live event.

Why 2026 raises the cybersecurity stakes for sports

With the 2026 World Cup about to stretch across three countries and dozens of host cities, the attack surface is wide and the schedule is unforgiving.

Geopolitical signaling is raising the threat profile further. Previous international sporting events have demonstrated that nation‑state actors use the cyber domain to signal intent, influence narratives, or retaliate symbolically. In the context of the 2026 World Cup, Russia’s continued exclusion from international sport, the ongoing conflict in Ukraine, US defensive support to Ukraine, and Iran’s likely participation in the tournament introduce additional motivations for state‑aligned and non‑traditional affiliated actors to operate below the threshold of armed conflict. This doesn’t require new techniques—just the right timing and visibility.

In practice, this comes down to preparation: knowing what normal looks like across IT and OT, controlling third-party access, and spotting when behavior shifts.

In sport, disruption does not build slowly—it happens in real time and in public. By that point, the groundwork has already been set, long before the whistle goes.

About this research

Findings are based on Darktrace threat-research telemetry across sports-sector customer deployments (Q4 2025–Q1 2026) and a survey of 875 IT cybersecurity professionals in the US, UK, Australia, and Germany, fielded by Opinion Matters between May 28 and June 3, 2026. Read the full report for complete methodology, incident analysis, and strategic recommendations.

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Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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June 12, 2026

Protecting Stadiums & Events with AI

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Stadium and large public venue operators are confronted with a unique set of cyber security challenges. Often described as a ‘honeypot’ for cyber-criminals, the sports and entertainment industry is an attractive target for threat actors for three main reasons:

  • Modern sports organizations process sensitive and highly valuable data at scale;
  • Sporting events are highly visible and time-critical, operating in front of live audiences with no room for error;
  • Sports organizations rely on sprawling vendor ecosystems and supply chains to deliver broadcast, commerce, fan engagement services, and more.

In a recent Darktrace-commissioned survey, 84% of professional sports organizations reported at least one cyber incident in the past year, and 57% were hit more than once [1]. The potential ramifications of cyber disruption during a large-scale sports event cannot be overstated. A momentary lapse in access to power could bring TV broadcasts to a halt; disruption to access controls could restrict fans from entering the grounds; CCTV outages could increase the risk of criminal behavior and physical injuries. If data is not reliable and stadium machines are outputting the wrong metrics, a venue could become dangerously overcrowded. The barrier between the cyber and physical worlds has long dissolved – cyber-attacks threaten human safety.

In this blog, I explore the key challenges of stadium cyber security and explain the unique capabilities of Self-Learning AI that led me to adopt Darktrace as a head of ICT and cyber security for international venues and events. Over my career I have helped secure football and rugby World Cups, World Athletics Championships and more than 500 events ,and the lessons from each have only sharpened my conviction in this approach.

The access paradox

The biggest challenge lies in the paradox of securing a site where various internal services are provided to a large number of unknown and unmanaged users, suppliers and devices. When it’s game time, or ‘D-Day’, you see a huge influx of thousands of people, each with their own devices, needing to connect to your network and your infrastructure. The floodgates are opened. But certain parts of your digital environment need to remain protected: your sensitive employee and customer data, your critical OT systems. I liken this to opening the door to your home, and letting the entire town come in and wander around. But you still need to secure your master bedroom.

A multitude of different actors must be able to work on-site to provide services or content during the event. Broadcasters, staff and suppliers need to have access to manage the show, and all these people need to access or interact with the IT infrastructure. In many ways, these additional bodies are already inside the perimeter and could host unknown malicious threats.

This year, the paradox is wider than ever. A tournament spread across hundreds of suppliers and vendors means the foothold an attacker needs may already belong to a trusted partner – a single compromised supplier can become the doorway to everything else. And the adversary is no longer working alone: generative AI now lets attackers probe and weaponize vulnerabilities across thousands of software dependencies at a speed no human team could match, turning the access paradox from a manageable risk into a fast-moving target.

Achieving this balance between accessibility and security requires a shift in mindset from perimeter-based security to one that can detect and respond to threats on the inside. The complexities involved requires technology that can identify malicious behavior in real time based on the wider context of an incident. A particular behavior or connection may be benign in one context and yet critically disruptive in another — tools and technology must be able to discern between the two.

This is why I considered Darktrace’s Self-Learning AI a suitable fit: rather than defending at the perimeter, it focuses on detecting and responding to malicious activity already inside. Because it learns the unique ‘patterns of life’ of its surroundings, it can detect subtle deviations that indicate a threat and initiate a targeted response – without relying on pre-programmed rules and playbooks.

IT/OT convergence

The second key challenge is the issue of IT and OT convergence. Typical stadiums and arenas consist of a wide range of Industrial Control Systems (ICS).

This involves a complex and messy array of switches, cables, CCTV cameras, as well as devices and technologies being brought in by the media and the press, and all these IT and OT components are now interconnected, which means these technologies now have Internet Protocol (IP)-based threats to manage. The same challenges that the corporate infrastructure for stadium management faces in cyber security are therefore also now an issue for ICS security.

This challenge cannot be addressed by viewing IT and OT security in isolation — these two environments are linked because of the analogue migration to IP. A unified approach is required to detect and respond to threats that start in IT before moving to industrial systems.

The stakes are physical. CCTV, Access Control, Public Annoucement system, lighting and the giant screens are all now running over IP, and a disruption to any of them can force a venue to halt play on safety grounds. Scale compounds the problem. At the Qatar 2022 World Cup, eight stadiums were purpose-built to a single technical standard, which made the digital environment relatively uniform to defend. The 2026 tournament is the opposite: dozens of host venues across three countries, each with its own operator, its own contractors and its own legacy systems.This creates a far more fragmented and unpredictable estate to secure.

In addition, cyber security technology must be able to deal with complexity. Darktrace’s AI thrives in the most complex environments, with more data points adding more context to inform the AI’s decision making. It covers OT and IT with a single, unified AI engine, that can also detect and respond across cloud infrastructure, SaaS applications, email systems and endpoints. It is ready to adapt to the messy, interconnected systems that make up large stadiums’ digital infrastructure.

The time factor

Finally, the nature of stadium events means that timing is critical and puts enormous pressure on the organizers and operators. ‘D-Day’ cannot be replayed or postponed, and so if cyber disruption occurs during the event, every minute is crucial. You cannot reschedule a World Cup final or move an opening ceremony; the date is fixed, the world is watching, and there is no second take.

There is consequently a strong emphasis on two key metrics

  • Mean Time To Know (MTTK) — how long it takes the security team need to be aware of an incident; and
  • Mean Time To Restore (MTTR) — how quickly a team can act to contain the threat.

It is perhaps more imperative in stadium event management than anywhere else that these two metrics be minimized.

This leads to the third criteria in assessing cyber security technology: does it help with response? And critically, can that response be nuanced and targeted, able to contain that threat without causing further disruption?

To this end, Darktrace’s Autonomous Response takes machine-speed action to contain cyber-attacks, when humans are too slow to react or aren’t around at all. It’s powered by Darktrace’s AI, so it has a nuanced and continuously updating understanding of what’s ‘normal’ across IT and OT systems. This means its response actions are targeted: designed to eliminate the threat, but not at the cost of disruption. Crucially, this enables responses that are surgical rather than blunt. For example, taking an entire server offline to stop a ransomware attack can cause more disruption than the attack itself, so the real value lies in neutralizing the malicious activity precisely — containing the threat without taking down the systems the event and business depends on.

Depending on the nature and severity of the threat, the technology can block specific malicious connections by enforcing the normal ‘pattern of life’ of a device or account. When every second counts, this is the speed and granularity that you need in a cybersecurity technology.

Darktrace can be deployed across every area of the digital enterprise, including network, email, cloud and SaaS environments with the same self-learning approach, stopping anomalous behaviors that point to account takeover and other cloud-based threats. Earlier this year, we announced that Darktrace is also extending its behavioral approach to help businesses deploy and scale AI securely by understanding how these AI systems and agents behave, interact with other systems and humans, and evolve over time. This is critical because 72% of cybersecurity professionals at sports organizations believe AI will increase their cyber risk over the next 12 months [2].

Wherever it is deployed, Darktrace allows the stadium operator to focus on the vital part of the game and offers real-time protection without any modification in the network topology or infrastructure.

An adaptive defense

Cyber-criminals are constantly developing their approach in an attempt to evade security tools trained to look for specific hallmarks of an attack. As they get creative and continuously experiment with new tactics and techniques, the human operators using these tools are forced into a constant state of catch up.

An AI-based approach that learns an organization and its normal behavior patterns from the ground up puts an end to this game of ‘cat and mouse’, shifting the balance in favor of the defenders and allowing them to stay ahead of the threat. This matters more than ever, because adversaries are now using AI to scale their attacks. If you do not have AI working to protect you against malicious AI, you are already at a disadvantage.

With a nuanced understanding of what’s ‘normal’ for the business, unified IT/OT coverage, and an Autonomous Response solution that takes immediate, surgical action, the playing field is leveled, and large stadium and events operators can focus on delivering the best possible experience for attendees, digital viewers, partners and performers.

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References:

[1] [2] Darktrace: Cybersecurity in Global Sport, June 2026. Findings based on survey of 875 IT cybersecurity professionals based in the US, UK, Australia and Germany, working in professional sports organizations (including clubs, societies & sporting bodies) employing 10+ people. The survey was fielded between May 28, 2026 and June 3, 2026 by independent market research agency, Opinion Matters.

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About the author
Karim Benslimane
VP, Field CISO
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