Examining the Risks of Adversarial Artificial Intelligence Following the Emergence of ChatGPT

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The capability of artificial intelligence has been at its strongest since its unveiling in November 2022 as tools like ChatGPT have emerged. However, these AI tools also present potential vulnerabilities from adversarial AI. The president of CrowdStrike Inc., Michael Sentonas, emphasizes how these countermeasures of signature tech cannot foil the swift droves of ever-changing malware created through generative AI.

In order to better stop the threat of adversarial AI, CrowdStrike has put measures in place to make sure their AI tools are not misused. With the help of AI models, large language models, threat hunting and discovering becomes easier, as well as quickly traversing threat intelligence. Sentonas notes the usefulness of AI in streamlining learning processes in regards to security, and also the presence of a human element that has been used to successfully gain access credentials through social engineering.

The purpose of using the AI tools is to lower the skill barriers and make people competent enough to fight against these cyber threats. To make this happen, there needs to be continuous, multi-model protection in place such that cyber defense are not let down by a single point of failure.

Though the person mentioned in this article is Michael Sentonas, the company of focus is CrowdStrike Inc. CrowdStrike Inc. is a leader in cloud-delivered endpoint and workload protection, threat detection and response, and managed security services. It is the only provider of cybersecurity solutions to detect and stop known and unknown threats across all major attack categories and continuously monitor and protect customers from malware and other threats. Like the original article, we want to emphasize the importance of the human factor in defeating cyberattacks, as well as the need for talented professionals in the field of cyber security.

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