AI is revolutionizing app development, enhancing efficiency, and enabling anomaly detection. However, its accessibility has also escalated cyber threats. According to Gartner, by 2028, 90% of software engineers will rely on AI tools, which will speed up productivity but may compromise security. As organizations rush to deploy applications, mobile apps have become prime targets for cyberattacks due to user laxity and their presence outside enterprise networks. A 2025 report from Digital.ai indicates that 83% of applications faced attacks, highlighting the vulnerabilities of apps as they extend the business’s threat surface. Moreover, AI-generated malware exploits, including advanced techniques like large language model (LLM) jailbreaks, make detection increasingly challenging. Enterprises must integrate security into the application development lifecycle to combat these threats effectively. Employing embedded security measures enables continuous testing and performance without hindering innovation, making app security an essential priority for modern organizations.
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