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Deepfakes use artificial intelligence (AI) to impersonate voices, images and videos to spread misinformation, affecting government and enterprise security.
Social engineering exploits human interactions to gain personal information and login credentials. Enterprises can protect networks from these cyberattacks.
Amid pandemic disruptions, burnout and geopolitically motivated cyberattacks, what are the challenges faced by security teams? VMware's Global Incident Response Threat Report shines a light on emerging cyber threats.
Deepfakes, digital twins and artificial intelligence — what are the negative and positive effects of these technologies? Are they good for society or bad?
The FBI's Internet Crime Complaint Center (IC3) has warned about fraudulent job applications using deepfakes and stolen PII to attempt to earn IT and software development roles.
Deepfakes are taking the cybersecurity field by storm, and the artificial intelligence (AI) technology needed to create them is only becoming more sophisticated. Here’s how to thwart the two types of deepfakes.
Take an in-depth look at disinformation and how Chief Security Officers (CSOs) are best prepared to stop it. From memes to paid fake news services, disinformation has become a top problem for businesses around the globe.
Many security researchers are now predicting that deepfakes could become a major security threat in the 2021-2022 period. Where is the threat and what can you do about it?
In recent years, there has been a recognition that social engineering plays a huge part in the execution of cybersecurity attacks. The intersection of “non-physical” and “technical” social engineering is where criminals are mostly focused today. Enter deepfake technology, which poses a looming risk over enterprises and their security leaders as they figure out how to prepare for and mitigate such a risk.