New Delhi, April 7 -- Generative AI is moving quickly from experimentation to real work inside startups. Teams are using it for support responses, sales emails, internal search, product documentation, coding help, research, and workflow automation. That speed creates an obvious upside, but it also creates a security problem: adoption often grows faster than controls. NIST's AI Risk Management Framework and its Generative AI Profile both stress that AI risks should be managed across design, development, deployment, and use, while OWASP's current LLM guidance highlights issues such as prompt injection, sensitive information disclosure, insecure output handling, excessive agency, and supply-chain weaknesses.

For startups, the solution is no...