AI is advancing rapidly, with new tools and use cases being discovered weekly, from writing poems to securing networks. Researchers are still unsure about the capabilities of AI models like GPT-4, which has led some experts to call for a halt on training more powerful models to focus on developing safety protocols and regulations. OpenAI has implemented various safety measures in their GPT-4 development process, but the model can still be vulnerable to adversarial attacks and exploits. Concerns around using AI tools like ChatGPT for coding include privacy issues, cybersecurity risks, and potential impact on application security posture. However, AI tools are also providing more tools to security teams to help them deal with emerging threats. To mitigate risks, developers should establish clear internal policies regarding the use of AI tools, including data selection and usage, data privacy and security, compliance requirements, and regular updates. Security teams should be aware of developments in AI that give more tools to both security teams and bad actors, and conduct regular application security assessments to identify potential threats and develop strategies to defend against them.