Cofense, the global leader in intelligent phishing defense solutions, launched a comprehensive resource center and easy-to-use Real Phishing Threats searchable database to help organizations see the phishing threats that slip past their secure email gateways (SEG). In a world where hackers and threat actors constantly innovate and use tried-and-true tactics to stay one step ahead of detection, a multi-layered approach to email security is essential. In 2019, the Cofense Phishing Defense Center analyzed 1.9 million suspicious emails that landed in employee inboxes across the globe, one in seven of which were found to be malicious.
Built on the world’s largest data lake of phishing threats found by real people, Cofense combines the power of collective human detection and intelligence with automated response, enabling teams to stop phishing attacks rapidly after they have evaded perimeter technologies. To help organizations bolster their defenses, Cofense is revealing the phishing emails that bypass SEGs every single day as well as the steps organizations can take to empower their employees and security teams to detect, report, analyze and quickly neutralize these threats.
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In the last 90 days alone, Cofense has found:
- 31,231 malicious emails in environments protected by Microsoft Office 365
- 13,610 malicious emails in environments protected by Proofpoint
- 9,356 malicious emails in environments protected by Mimecast
- 2,936 malicious emails in environments protected by Symantec
“Several organizations view SEGs as a panacea to their email security woes. These technologies fail to deliver on their promise every day,” said Rohyt Belani, chief executive officer and cofounder, Cofense. “All SEG vendors including Proofpoint, Microsoft, Symantec, Mimecast and Cisco, to name a few, are circumvented every day by even commonplace phishing attacks that use years old malware and credential harvesting tricks. Cofense provides a modern phishing defense and response solution that relies on 23 million humans across the globe for detection, making it impossible for attackers to model their threats. We then leverage machine learning and automation to help our customers rapidly identify the full scope of the attacks and neutralize them before incidents evolve to breaches.”
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