For a long time, identifying a phishing email depended on recognizing obvious errors, such as grammatical problems or strangely spelled links. This advice, repeated for years in corporate training, has lost much of its effectiveness. Generative artificial intelligence has completely changed the nature of attacks, making phishing more convincing than ever.
The end of classic signs of fraud.
Historically, cyber defenses relied on training employees to identify superficial signs of fraud , such as typos and misaligned formatting. This model worked reasonably well when attacks were produced manually.
With the aggressive use of generative artificial intelligence, this scenario has changed. Criminals have begun generating perfectly written emails , without linguistic deviations, tailored to the tone of voice of real directors, partners, or clients.
Threat intelligence reports indicate that campaigns based on artificial intelligence are now responsible for the majority of recorded email fraud , with significant growth in credential theft techniques in the latest analyzed cycles.
Techniques that make the attack harder to identify.
Modern attacks combine sophisticated social engineering with advanced technical capabilities. Among the most relevant techniques observed today are:
- Hiding malicious content in image fileswhich disguises malicious files as legitimate documents.
- Fake security seals, inserted to simulate verification by security software
- Business Email Compromise (BEC), involving the hijacking of directors' accounts to alter payment details.
- Interception via reverse proxycapable of capturing active sessions even with two-factor authentication.
- Phishing via QR code, with malicious code inserted into documents and payment slips
- Multimodal attacks, combining compelling emails with AI-faked audio or video that mimics real executives
Each of these techniques explores a different aspect of organizational trust , whether it's trust in a sender or trust in an internal approval process.
Why defense cannot depend solely on individuals.
Given this scenario, relying solely on human judgment has become insufficient. Employee training remains relevant, but it works best when conducted by specialized professionals and combined with layers of technical protection.
A consistent defense strategy typically involves complementary approaches:
- Continuous vulnerability analysis in the network infrastructure
- Active monitoring real-time email traffic
- Constant trainingincluding realistic phishing simulations
- LGPD Compliance in the management of data received through any channel.
- Rapid incident response, with a team prepared to contain invasions
Security as a culture, not as a one-off reaction.
The advancement of artificial intelligence in cyberattacks demands a change in mindset. Security has ceased to be a one-off IT project and has gained importance as part of the organizational culture , present in every communication channel of the company.
Companies that treat cybersecurity as routine tend to significantly reduce the impact of increasingly sophisticated attacks. The relevant question is no longer whether an attack will happen, but whether the organization will be prepared when it does.
Regardless of the stage of operation, customer data circulating between different channels and systems requires constant attention. In this sense, having a layer of protection like Next_security ensures continuous monitoring, specialized training, and compliance with the LGPD (Brazilian General Data Protection Law), protecting sensitive information regardless of the size or maturity of the company.
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