Larry Walsh
A recent LinkedIn post by Patrick Zammit, CEO of TD SYNNEX, was both jarring and entirely predictable. He warned vendors, partners, and customers transacting across the technology distributor’s global network to verify unexpected communications before taking action.
“We are aware of unauthorized communications falsely claiming to be from TD SYNNEX company executives,” read his reposted message. “External partners and customers are advised to confirm any unexpected requests through established business contacts or official company channels before taking any action.”
Fraud warnings are nothing new in technology distribution. Distributors have spent decades defending against fraudulent orders, intercepted shipments, forged purchase orders, and requests to redirect payments to supposedly updated bank accounts. What makes Zammit’s warning significant is that it came directly from the CEO of one of the world’s largest technology distributors.
When the person at the top of the supply chain feels compelled to issue a public warning about executive impersonation, the problem is no longer limited to a few suspicious e-mails. It reflects a broader change in the threat environment. Artificial intelligence is making fraud easier to produce, harder to detect, and far more scalable.
Not long ago, many phishing attempts were relatively easy to identify. They arrived from free e-mail accounts, contained obvious spelling and grammatical mistakes, used awkward language, or directed recipients to domains that were clearly fake. The attacks succeeded often enough to remain profitable, but they usually left clues for anyone who paused long enough to examine them.
Generative artificial intelligence is eliminating many of those warning signs.
Attackers can now produce polished e-mails that mirror the language, tone, formatting, and branding of legitimate corporate communications. They can recreate invoices, purchase orders, billing notices, and executive requests with few of the imperfections that once exposed fraud. AI tools can also help criminals research organizations, identify executives, map reporting structures, and personalize messages for specific employees, partners, and customers.
The threat extends beyond e-mail. Voice-cloning tools can recreate an executive’s speech patterns well enough to make an urgent telephone request sound convincing. Synthetic video can create the appearance of an executive authorizing a transaction or instructing an employee to bypass normal procedures. Automated tools can generate look-alike domains, imitate corporate websites, and produce large numbers of highly targeted messages at a fraction of the time and cost once required.
This is particularly dangerous in technology distribution, where enormous volumes of products and money move through complex networks of vendors, distributors, resellers, service providers, logistics companies, and customers. Speed is essential. Orders are processed quickly, inventory is shipped across multiple locations, and payments often pass through several organizations.
That efficiency creates opportunity for criminals.
A forged request to change a bank account could divert a substantial payment. A fraudulent shipping instruction could reroute valuable equipment. A convincing e-mail from an apparent executive could persuade an employee to override a control, release an order, or disclose sensitive information. In a high-volume environment, a single missed detail can result in millions of dollars in losses.
The TD SYNNEX warning should therefore be viewed as more than a company-specific advisory. It’s a warning to the entire channel. Vendors, distributors, resellers, MSPs, and customers can no longer assume that a professional-looking message, a familiar voice, or even an apparently authentic video is sufficient proof of identity.
The answer is not to abandon automation or slow every transaction to a crawl. The channel depends on speed, scale, and efficient digital processes. The challenge is to introduce verification procedures that are strong enough to stop fraud without undermining legitimate commerce.
Unexpected requests involving payments, banking information, shipping destinations, passwords, or confidential data should be verified through a separate communications channel. Employees should not call a telephone number or use a link contained in the questionable message. They should rely on previously established contact information, official company systems, or known business relationships.
Financial controls must become equally rigorous. Changes to banking details, high-value transfers, credit instructions, and shipping destinations should require approval from more than one person. No executive title, urgent deadline, or supposed emergency should be sufficient to bypass those controls.
Technical safeguards remain important as well. E-mail authentication standards such as DMARC, DKIM, and SPF can reduce domain spoofing and help organizations identify fraudulent messages. But technology alone will not solve the problem. AI-generated fraud is increasingly designed to exploit human trust, organizational hierarchy, and the natural pressure to complete transactions quickly.
That makes verification a business discipline rather than merely a cybersecurity practice.
The channel was built on trust. Vendors trust distributors to manage inventory and credit. Distributors trust partners to represent products and fulfill customer commitments. Customers trust providers to safeguard their information and execute transactions accurately. Artificial intelligence doesn’t eliminate that trust, but it does make trust easier to counterfeit.
Zammit’s warning is therefore simple but consequential: Verify before acting.
In the AI fraud era, a message that looks authentic may not be so. A voice that sounds familiar may not belong to the person it imitates. An urgent request from an executive may be nothing more than a well-constructed deception.
The channel can no longer afford to treat verification as an occasional precaution. It must become a standard part of every sensitive transaction.
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Larry Walsh is the CEO, chief analyst, and founder of Channelnomics. He’s an expert on the development and execution of channel programs, disruptive sales models, and growth strategies for companies worldwide.