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AI Vs. AI: How To Win The Corporate Cybersecurity Battle

Mar 08, 2024 - forbes.com
The article discusses the increasing importance of AI in enhancing cybersecurity as businesses move online. It highlights the recent data leak at Samsung due to sensitive code being uploaded to ChatGPT, emphasizing the need for organizations to prioritize data security. The article suggests using privacy mode while browsing and using language learning models (LLMs) like ChatGPT Enterprise, which claims not to use customer data for training models. It also mentions the potential misuse of AI for phishing attempts, citing the example of ChatGPT being used to craft perfect requests for changing wiring instructions.

The article further discusses the use of AI to combat AI-related security threats. It mentions Norton's Genie, a spam detector that uses AI to analyze suspicious emails, and other antivirus apps like McAfee and Sophos that offer AI-powered protection against AI phishing. It also warns about the risks of AI chatbots accidentally breaching security, as happened with Snapchat's MyAI feature. The article concludes by stressing the importance of a comprehensive approach to AI-powered security solutions, combining AI with human expertise, rigorous testing, continuous monitoring, and collaboration across stakeholders. It also highlights the potential of LLMs in enhancing security through AI, as they can uncover patterns and trends in cyberthreats.

Key takeaways:

  • AI is a critical tool for data security, but it also poses risks such as data absorption and the potential for misuse by bad actors.
  • Companies need to prioritize data security and implement measures such as private browsing and internal guardrails to prevent data leaks.
  • AI-enhanced security can provide benefits like automating tasks and identifying threats based on superior pattern-recognition algorithms.
  • AI-powered solutions need to be comprehensive in how they analyze and respond to security issues, and they should ideally combine AI with human expertise and continuous monitoring.
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