{"id":7285,"date":"2026-07-15T10:20:58","date_gmt":"2026-07-15T10:20:58","guid":{"rendered":"https:\/\/cobweb.com\/ae\/?p=7285"},"modified":"2026-07-21T09:40:24","modified_gmt":"2026-07-21T09:40:24","slug":"why-business-email-compromise-is-still-winning-how-to-fight-back","status":"publish","type":"post","link":"https:\/\/cobweb.com\/ae\/content-hub\/events-and-webinars\/why-business-email-compromise-is-still-winning-how-to-fight-back\/","title":{"rendered":"Why Business Email Compromise Is Still Winning & How to Fight Back"},"content":{"rendered":"\n
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Why Business Email Compromise is Still Winning & How to Fight Back<\/p>\n<\/div><\/div>\n\n\n\n

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Home<\/a><\/span> \u00bb Why Business Email Compromise Is Still Winning & How to Fight Back<\/span><\/span><\/div><\/div>\n<\/div>\n\n\n\t\t\t\t<\/div>\n\n\t\t<\/div>\n<\/section>\n\n\n
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Email remains the primary gateway for cyberattacks, but today’s Business Email Compromise (BEC) attacks have evolved beyond what traditional security tools and even AI can reliably detect. Here’s why organizations need a more comprehensive approach to protect their people, data, and reputation.<\/p>\n\n\n\n

For many Middle East organizations, email is the lifeblood of daily business. It connects employees, customers, suppliers and partners, drives financial transactions, and keeps operations moving. Unfortunately, it\u2019s also cybercriminals\u2019 preferred route into your business.<\/p>\n\n\n\n

BEC is one of the most damaging forms of cybercrime. Unlike traditional phishing attacks, BEC emails often contain no malicious links or attachments. Instead, they rely on carefully crafted social engineering, impersonation and trust to convince employees to transfer funds, reveal confidential information or approve fraudulent transactions.<\/p>\n\n\n\n

As AI becomes increasingly accessible, attackers are using it to create highly convincing emails that mimic writing styles, business relationships, and legitimate communications. The result is that organizations can no longer rely on conventional email filtering, or even on AI in isolation, to stay protected.<\/p>\n\n\n\n

AI changing the threat landscape<\/h5>\n\n\n\n

Artificial intelligence has undoubtedly transformed cybersecurity. Modern AI engines can identify anomalies, detect suspicious behavior, and analyze vast amounts of email traffic far faster than human analysts ever could. However, AI has also become a powerful weapon for attackers.<\/p>\n\n\n\n

Cybercriminals are now using generative AI to create convincing phishing campaigns, realistic executive impersonation emails and sophisticated BEC attacks at unprecedented speed and scale. These attacks often bypass traditional indicators that security systems have relied on for years<\/p>\n\n\n\n

At the same time, AI-only security platforms present their own challenges. They can generate high volumes of false positives, requiring IT teams to spend valuable time investigating harmless emails. Many also rely on post-delivery remediation\u2014identifying malicious emails only after they have already reached users’ inboxes\u2014creating a dangerous window of opportunity for attackers.<\/p>\n\n\n\n

Simply put, AI is an important part of modern email security, but it should never be the only part.<\/p>\n\n\n\n

Why Microsoft 365 needs ad<\/strong>ditional protection<\/h5>\n\n\n\n

Microsoft 365 is the world’s leading business productivity platform, making it an obvious target for cybercriminals.<\/p>\n\n\n\n

Many organizations assume Microsoft’s native security provides complete protection. While Microsoft delivers valuable baseline capabilities, today’s attackers actively study and design attacks specifically to evade these defenses. Native security alone can struggle against sophisticated BEC campaigns, QR-code phishing, compromised legitimate accounts and highly targeted impersonation attacks.<\/p>\n\n\n\n

Purpose-built email security adds critical layer of defense.<\/strong><\/h5>\n\n\n\n

Solutions such as Mimecast complement Microsoft 365 by combining advanced AI with Natural Language Processing (NLP), behavioral analysis, social graphing, computer vision, threat intelligence feeds, reputation analysis, and proprietary detection technologies. Rather than relying on a single detection method, multiple technologies work together to identify attacks before they reach users.<\/p>\n\n\n\n

Building a layered & blended defense against BEC<\/strong><\/strong><\/h5>\n\n\n\n

Protecting against BEC requires a comprehensive strategy rather than a single technology. Effective protection should include:<\/p>\n\n\n\n

Protecting against BEC requires a comprehensive strategy rather than a single technology. Effective protection should include:<\/p>\n\n\n\n