AI can significantly boost development productivity and innovation when used correctly, accelerating research, explaining complex code, and backing powerful AppSec tools. However, it's essential to be cautious of AI's inherent flaws, such as hallucination, low-quality inputs, and security concerns related to prompt injection and deceptive leading inputs. To mitigate these risks, teams should adopt a "trust, but verify" mentality, using human research and knowledge-sharing alongside AI-generated results. As AI continues to evolve, it will empower civilian coders and drive the need for strong application security tooling that leverages AI innovation while ensuring human verification and cross-referencing.