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The Dark Side of AI: Exposing Scams and Weaponized AI
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Today’s cybercriminals are leveraging AI to develop and execute increasingly sophisticated attacks, targeting organizations like yours for lucrative returns.
According to a PwC report, AI-driven fraud is estimated to cost businesses $8 trillion globally by 2030. What can business leaders do to stay ahead of AI-driven cybercriminals and protect their organizations and employees? In this session, expert AI advisor Dr. Mark van Rijmenam offers valuable insights on navigating the dark side of AI and provides hope for a safer future.
During the session, we will address the following:
• What common AI-powered scams should individuals and businesses be aware of?
• How can deepfake technology be used to compromise personal and business security?
• What role do generative AI models play in creating convincing phishing attacks?
• How can organizations protect themselves from AI-driven disinformation campaigns?
• What are the ethical implications of developing and using weaponized AI?
• What steps can be taken to ensure responsible AI development and deployment?
• Real-life case studies of examples of AI scams and weaponized AI
According to a PwC report, AI-driven fraud is estimated to cost businesses $8 trillion globally by 2030. What can business leaders do to stay ahead of AI-driven cybercriminals and protect their organizations and employees? In this session, expert AI advisor Dr. Mark van Rijmenam offers valuable insights on navigating the dark side of AI and provides hope for a safer future.
During the session, we will address the following:
• What common AI-powered scams should individuals and businesses be aware of?
• How can deepfake technology be used to compromise personal and business security?
• What role do generative AI models play in creating convincing phishing attacks?
• How can organizations protect themselves from AI-driven disinformation campaigns?
• What are the ethical implications of developing and using weaponized AI?
• What steps can be taken to ensure responsible AI development and deployment?
• Real-life case studies of examples of AI scams and weaponized AI