AI Used to Hack: When Customer Support Becomes a Backdoor
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AI Used to Hack: When Customer Support Becomes a Backdoor

[2026-06-09] Author: Meteora Web Redazione
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On June 5, 2026, The Download reported that attackers used Meta's AI customer support agent to steal Instagram accounts. No complex exploit: they simply abused the chatbot to bypass human controls. The method is called AI-powered social engineering, and it’s not sci-fi. It happened. It’s happening now.

Why does this matter for Italian businesses? Because it’s not just a Big Tech problem. If Meta, with its multi-million-dollar security teams, gets hit via AI, imagine what can happen to an e-commerce in Palermo or an accountant's office in Catania that integrates third-party chatbots to assist clients. Every conversational interface becomes a potential attack surface. And most Italian SMEs don’t even have a backup configured, let alone a penetration test on their bots.

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We see it every day: unprotected forms, plain-text credentials, outdated plugins. Now AI multiplies vectors. A chatbot can be convinced to reveal sensitive data, reset passwords, grant privileges. The problem isn’t AI itself — it’s the blind trust companies place in tools they don’t fully understand.

Our position is clear: security in Italian SMEs is systematically undervalued, and AI makes it worse if not handled with competence.

We, at Meteora Web, come from accounting and ERP: we know a cyberattack means unpaid invoices, lost orders, zeroed reputation. It’s not paranoia — it’s economic calculation. One client who asked us to audit their e-commerce had a free chatbot plugin that exposed the entire user database in plain text. We found it in an hour. They had no idea. The cost of a GDPR violation starts at €10 million or 4% of global annual turnover. For an SME, that’s closure.

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What to do? Before integrating any AI-based tool, run a security audit. Check that data doesn’t leave the EU, that access logs are tracked, that the chatbot doesn’t have more permissions than a normal user. We recommend building internally or with trusted partners, not renting prepackaged solutions without understanding the risks. AI amplifies — but it also amplifies mistakes. Don’t trust: verify.

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