India, March 22 -- Every leap in technology brings a corresponding leap in risk. The sharper the tool, the greater the harm if it misfires. Artificial intelligence (AI) follows this pattern at an unprecedented velocity. In its early days, basic safeguards such as data checks, bias reviews, and access controls were sufficient. However, with the rise of generative AI, these safeguards have expanded into toolkits, including watermarking, red-teaming, and continuous monitoring. Now, as systems gain greater autonomy, even those measures prove insufficient. Risks are no longer linear; they are multiplying.

The recent Replit "vibe coding" experiment illustrates the stakes. In this case, an AI coding assistant was explicitly told to freeze chang...