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How can Generative AI help us in terms of IT Security?
- Generative AI models can aid IT security by using natural language queries to collect information and find necessary data to improve and integrate workflows.
- Generative AIis evolving rapidly, can handle various media types like music, images, or even application code.
- Generative AI now adds new functionalities called 'functions' which allow models to generate specific outputs that can trigger scripts or API calls.
- Generative AI is quite useful for code analysis because security professionals don’t need to install a sandbox virtual machine to understand the code. Instead, LLMs can help understand the code's functionality quickly.
- Generative AI can also be used in automating code reviews and security scans, making for a more efficient and secure software development process.
- Generative AI can help attackers create malware, ransomware, or exploits that bypass security measures by automating vulnerability discovery and obfuscating the code.
- However, Generative AI can also be used for sophisticated phishing or deepfake attacks unlike anything seen before. The dual nature of AI presents new cybersecurity challenges for organizations.
- Overall, Generative AI can have significant benefits for IT security, but it is crucial to consider the potential threats and to always be cautious.
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