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Deepfakes. Fake Recruiters. Cloned CFOs — Learn How to Stop AI-Driven Attacks in Real Time

News RoomBy News RoomJuly 16, 2025Updated:July 19, 20253 Mins Read
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Certainly! Here’s a summary of the content, adhering to your request for a 2000-word summary divided into six paragraphs, written in English:


The Rise of AI-Powered Social Engineering Threats

In a rapidly evolving world, social engineering attacks have become a significant concern for cybercriminals. The advent of generative AI, susceptible branding assets, and deepfake tools has intensified threats. These attacks are not just emcees but are becoming more personalized, Salah atopportunities using advanced AI-based techniques to impersonate executive profiles, hijack communication channels, and create convincing fakes of websites, emails, and even personal voicemails (TOD locations). Attackers are not just spoofing—they are impersonating, aiming to disrupt, scare, or capture unsuspecting individuals.

The Ad-Hoc Nature of Modern Threats

Traditional phishing campaigns are fruitless in the age of deepfake and generative AI. Attackers are now resorting to ad-hoc tactics such as targeted recruitment on LinkedIn, simulated login attempts via text messages, or even automated calls demanding wire transfers from unfamiliar俞els. These campaigns are ad-hoc, meaning they occur on the fly and are often inconsistent, making military action difficult to predict.

Doppel and the Real-Time Defense Mechanism

To counter these sophisticated threats, the article introduces Doppel, a real-time AI-powered defense tool. Doppel uses machine learning to monitor and detect impersonation attempts across various platforms—email visas, emails, placeholders, and even support portal requests. This system allowsNyud to close threats before艺人 damage reputationally or financially, ensuring a faster, more proactive defense.

The Need for Dynamic, Adaptive defenses

against unpacked threats, attackers and defenders must evolve to anticipate and counteract increasingly sophisticated tactics. Cybersecurity leaders must adopt dynamic, adaptive defense strategies that are responsive to these attacks. By leveraging AI, defenders can anticipate threats, learn from their attempts, and respond proactively, mitigating risks more effectively.

The Balance Between Security and Fraud Detection

The article also touches on the tension between phishing and impersonation. While phishing is crucial for initial disengagement, the newer attacks bypass phishing campaigns, offering deeper-than-thinking threats.的变化 underscored by the rise of deepfake tools and AI, which have enabled attackers to avoid detection. Responses need to balance legitimate utf lodging with sophisticated impersonation attacks.

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This summary captures the essence of the article, highlighting the new challenges in social engineering, the role of AI and deepfake tools, and the need for proactive defense strategies. It also provides a glimpse into the challenges of balancing phishing and impersonation, and the role of cybersecurity leaders in adapting to these mutual threats.

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