SQL Injection (SQLi) is a web application attack covered extensively in the Certified Ethical Hacker (CEH) curriculum. It occurs when an application builds database queries by concatenating untrusted user input, which lets an attacker alter the query logic. Classic examples include entering ' OR '1'='1 into a login form to bypass authentication, using UNION-based payloads to extract data from other tables, and using blind techniques (boolean-based and time-based) when the application returns no visible errors. CEH also covers error-based and out-of-band SQLi, along with tools such as sqlmap and Burp Suite. Artificial intelligence is reshaping both sides of this threat. On the offensive side, attackers and penetration testers use machine learning and large language models to generate and mutate payloads that evade Web Application Firewall (WAF) signatures. AI can analyze application responses, learn which encodings or obfuscation methods slip past filters, and speed up reconnaissance by finding injectable parameters faster than manual testing. Reinforcement learning agents can refine blind SQLi attacks step by step, reducing the number of requests needed and lowering the chance of detection. Generative AI also lowers the skill barrier, so less experienced attackers can craft complex payloads. A newer concern is AI-mediated injection. Applications that let LLMs translate natural language into SQL can be manipulated through prompt injection, causing the model to produce malicious statements such as DROP TABLE or data-exfiltrating SELECT queries. On the defensive side, AI-powered WAFs and intrusion detection systems use anomaly detection and natural language processing. They classify queries as benign or malicious based on structure and behavior rather than static signatures. Machine learning models trained on query logs can also flag unusual access patterns in real time. Regardless of AI, the core countermeasures emphasized in CEH remain essential. These include parameterized queries (prepared statements), safely written stored procedures, strict input validation, least-privilege database accounts, proper error handling, and regular security testing. Ethical hackers must understand AI-assisted techniques so they can test defenses realistically and recommend robust mitigations.