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The AI revolution is here, and it’s changing the game. OpenAI’s ChatGPT has set a new record for the fastest-growing user base, and generative AI is making waves across platforms. But with this revolution comes new risks and threats.
Attackers are already using AI to improve phishing and fraud, and the leak of Meta’s 65-billion parameter language model will undoubtedly lead to new and improved phishing attacks. Users are also putting business-sensitive data into AI/ML-based services, leaving security teams scrambling to control the use of these services.
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Generative AI works by training the computer algorithm on a large amount of data, such as images or text. The algorithm then uses this data to create its own versions of this data, based on what it has learned. This process is often referred to as “machine learning” or “deep learning”. By allowing a computer to generate its own data, it opens the door for malicious actors to exploit this technology for malicious ends.
Generative AI-generated content can be difficult to detect with traditional security measures, as it often looks and sounds like content created by humans. It can be used to create convincing fake news articles and manipulate the public perception of events. It could also be used to generate convincing images and videos to deceive people into believing something that isn’t true. In addition, generative AI could be used to craft malicious code, malware, and worms, which could be used to infiltrate computer systems and networks.
To combat these threats, it is essential that companies take steps to educate their employees and users about the security risks posed by generative AI, while also taking steps to secure their systems and networks. Companies must have a clear understanding of what type of content is being generated and what security measures they have in place to detect and respond to threats quickly. Additionally, they should develop policies and procedures for dealing with generating content that could be used to harm their systems or networks.
In conclusion, generative AI holds great potential for creative production, but the emergence of novel security risks that come with its use must not be overlooked. Companies must take the necessary steps to educate their staff on the potential dangers posed by AI-generated content and ensure their systems and networks are secure from malicious actors.