Remove Artificial Intelligence Remove Phishing Remove Risk Remove Social Engineering
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Artificial Intelligence: The Evolution of Social Engineering

Security Through Education

In the ever-evolving landscape of cybersecurity, social engineering has undergone significant transformations over the years, propelled by advancements in technology. From traditional methods to the integration of artificial intelligence (AI), malicious actors continually adapt and leverage emerging tools to exploit vulnerabilities.

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Social engineering, deception becomes increasingly sophisticated

Security Affairs

Social engineering techniques are becoming increasingly sophisticated and are exploiting multiple emerging means, such as deep fakes. The increasing use of videoconferencing platforms and the various forms of remote work also adopted in the post-emergency covid make interpersonal collaborations increasingly virtual.

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What are Common Types of Social Engineering Attacks?

eSecurity Planet

Social engineering is a common technique that cybercriminals use to lure their victims into a false sense of security. As social engineering tactics become more advanced, it’s important to know how to identify them in the context of cybersecurity. Social engineering in cybersecurity attacks.

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The Rise of AI Social Engineering Scams

Identity IQ

The Rise of AI Social Engineering Scams IdentityIQ In today’s digital age, social engineering scams have become an increasingly prevalent threat. Social engineering scams leverage psychological manipulation to deceive individuals and exploit the victims’ trust. Phishing attacks.

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GUEST ESSAY: The rise of ‘PhaaS’ — and a roadmap to mitigate ‘Phishing-as-a-Service’

The Last Watchdog

Phishing is one of the most common social engineering tactics cybercriminals use to target their victims. Cybersecurity experts are discussing a new trend in the cybercrime community called phishing-as-a-service. Phishing-as-a-Service (PhaaS). Related: Utilizing humans as security sensors. Rising popularity.

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LRQA Nettitude’s Approach to Artificial Intelligence

LRQA Nettitude Labs

There are currently conflicting or uncoordinated requirements from regulators which creates unnecessary burdens and that regulatory gaps may leave risks unmitigated, harming public trust and slowing AI adoption. Current Regulations Initial investigation shows the challenges that organisations will face in regulating the use of AI.

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Using AI to Scale Spear Phishing

Schneier on Security

The problem with spear phishing it that it takes time and creativity to create individualized enticing phishing emails. The real risk isn’t that AI-generated phishing emails are as good as human-generated ones, it’s that they can be generated at much greater scale. Defcon presentation and slides.

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