Construction & Development Cybersecurity Solutions & Training

Construction & Development Cybersecurity Solutions & Training

Construction and development projects run on long chains of developers, consultants, contractors, subcontractors, and suppliers, and on the invoices, payment certificates, and bank details that pass between them by email. Fraus shows which people in that chain carry the most exposure, tests them with the invoice, payment, and impersonation lures the sector actually receives, and keeps training short enough for site and office teams alike.

Construction and Development in the GCC: Large Payments, Long Chains

Large construction and development projects in the GCC move money through long chains of developers, consultants, main contractors, subcontractors, and suppliers, often across several countries. Each link in the chain exchanges invoices, payment certificates, and bank details by email, which makes the sector a natural target for invoice fraud and impersonation.

The pressure is visible from inside the industry. After the incident below, Arup's global CIO said the firm faces regular attacks that include invoice fraud, phishing, voice spoofing over WhatsApp, and deepfakes, and that their number and sophistication had risen sharply.

In October 2026, an Abu Dhabi court ordered two fraudsters to repay Dh168,700 taken from a prospective tenant. The earlier criminal judgment had found that the payment followed fraudulent messages sent after a leasing company's email account was hacked and a bank employee was impersonated. For developers and property companies, one compromised mailbox puts customers' money at risk as well as the company's own.

Case Study

The Arup Deepfake Video Call, 2024

01

What Happened

In January 2024, a finance employee in the Hong Kong office of Arup, the global engineering and design firm, received a message that appeared to come from the company's UK-based chief financial officer about a confidential transaction. The employee first suspected phishing.

Then came a video call with what looked and sounded like the CFO and several colleagues. According to Hong Kong police, every one of them was a deepfake built from publicly available video and audio. Reassured, the employee made 15 transfers totaling HK$200 million, about US$25.6 million, to five local bank accounts. The fraud came to light about a week later, when the employee checked with head office. Arup confirmed in May 2024 that fake voices and images were used, and said its internal systems had not been compromised.

02

Where It Turned on a Person

The employee did the right thing first: they doubted the message. What defeated that doubt was not a better document but a better illusion. A live video call with recognizable faces and voices satisfies the deepest instinct we have for verifying identity, and once that instinct is satisfied, the earlier suspicion feels like a mistake to apologize for rather than a warning to act on.

The pretext closed every other exit. Confidentiality meant the employee could not mention the transaction to a colleague, seniority made it uncomfortable to ask the person on screen to prove who he was, and the presence of other familiar faces on the call suggested that others had already accepted the request as genuine. A person alone with a secret, facing their leadership on screen, has very little left to hold on to.

03

How Fraus Would Have Helped

A suspicion only protects the company if it reaches the security team. Fraus measures reporting rate next to click rate and makes reporting a one-tap action in Microsoft Teams, so the doubt this employee felt becomes a report instead of a private worry.

Staff who move money need to know that a video call is not proof of identity. Codex teaches finance teams how deepfake impersonation works and how a request for secrecy, speed, and senior sign-off is built to cut verification short, with modules in Arabic and English. The opening move, an email about a confidential transaction, can be rehearsed in Whitebait or Blackbait.

Odin ranks finance and payment staff higher because of what their role can authorize, and notifies the right stakeholders when one of them becomes a concern. Selecting your executives as Blackbait targets reveals the public video, audio, and organizational detail an attacker could use to impersonate them.

A deepfake can win a video call. It cannot answer a phone number already on file, and Fraus makes that check a reflex for everyone who can move money.

The Fraus Platform for Construction and Development

Whitebait

Whitebait

Invoice fraud, payment-change, and credential harvesting scenarios in English and Arabic, with difficulty raised as finance and procurement teams improve.

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Dolus AI Studio

Dolus AI Studio

Turn a screenshot of a real supplier invoice or payment certificate email into an editable simulation template, so tests look like the correspondence your project teams handle every day.

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Odin

Odin

Finance, procurement, and project staff who can approve payments are weighted by role criticality, and the right stakeholders are notified when one of them crosses a critical threshold.

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Codex

Codex

Micro-learning in English and Arabic on business email compromise and deepfake impersonation, built around the secrecy, speed, and senior sign-off that payment fraud relies on.

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Questions Construction Security Teams Ask

Can Fraus simulate invoice and bank-detail-change fraud?

Yes. Whitebait runs scenarios built on supplier invoices and payment changes, and Dolus AI Studio rebuilds real emails that reached your team into editable templates.

Our site teams rarely sit at a desk. How do they get training?

Codex modules are short and built to fit into the working day. For organizations on Microsoft Teams, training, policy acknowledgements, and one-tap reporting are available inside Teams.

Can we test the executives and finance staff an attacker would impersonate?

Yes. Select them as Blackbait targets and it runs OSINT reconnaissance to show what an outsider can learn about them, then tests how they respond under escalating pressure.

We work with many subcontractors and joint-venture partners. Does that matter?

Fraus is built for large groups and multi-entity environments, and Odin rolls risk up through team, department, and business unit level, so you can review each entity on its own and compare it with the rest.