On June 5, 2026, reports emerged that attackers had used Meta's AI customer support agent to steal Instagram accounts. No complex exploits, no vulnerabilities in the underlying model. They simply tricked the bot with seemingly legitimate requests, obtaining password resets.
This news is a wake-up call for anyone – companies, developers, SMEs – who is delegating sensitive processes to AI systems without human oversight. The problem isn't Mythos or the security of large models: it's the superficiality with which AI agents are integrated into real operational flows. In Italy, where the business fabric is made of small and medium enterprises often rushing to adopt digital tools without risk assessment, the danger is real. E-commerce platforms, customer support chatbots, accounting automations: every AI touchpoint can become a vulnerability.
Europe is trying to regulate with the AI Act, but laws alone are not enough. Technical awareness is needed. We see daily how companies install third-party plugins without verifying API security, or even attach sensitive data in conversations with unverified bots. An attack like Meta's proves the risk is not theoretical: it is already happening.
We, at Meteora Web, think this
Our position is clear: an AI must never go into production without a human validation layer and a specific security test. It is not enough that the model is robust in the lab. You must simulate AI-to-AI social engineering attacks, verify permissions, limit agent privileges. And for those operating in Southern Italy or in resource-constrained contexts, the advice is even sharper: better a few well-controlled tools than a dense network of untested automations. The cost of a breach – account loss, data leaks, reputational damage – is almost always higher than the savings from cutting controls.
The digital divide is also a security divide. Italian SMEs cannot afford to be the testing ground for poorly designed chatbots. Always ask: who responds if the AI is bypassed? Do you have a rollback plan? Are logs tracked?
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