Startups Must Build AI Security Into Products From Day One
As startups move from AI experimentation to building products powered by large language models (LLMs) and autonomous agents, security decisions are becoming an important part of product development. Limited budgets and the absence of dedicated security teams can make this challenging, but overlooking security during early development can create larger vulnerabilities as products scale.
From controlling access to customer data and securing third-party AI integrations to preventing prompt injection and governing autonomous agents, startups need to establish safeguards before deploying AI applications. Sujatha S Iyer, Head of AI Security at ManageEngine, Zoho Corp., discusses the security priorities founders should address, the risks of relying on external AI providers, and how startups can build AI systems that protect customer data without requiring enterprise-scale security investments.
Security By Design
Startups often prioritize speed to market over security. What security decisions should founders make before launching their first AI-powered product?
One of the...
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