GenAI Security: Striking the Right Balance Between Innovation and Protection
Generative AI (GenAI), particularly large language models (LLMs), are reshaping how we work and transforming industries. From enhancing productivity in day-to-day operations to powering transformative customer-facing features, the momentum toward adopting AI-driven technologies is strong—and growing stronger. But a great opportunity comes with great responsibility. Thanks to GenAI, productivity has improved, but it also comes with new security challenges that traditional software systems were never designed to handle. At dotData, where we build enterprise-grade AI solutions, we constantly face the challenge of balancing innovation ("offense") with robust governance and protection ("defense"). In this post, we’ll explore why LLM security is uniquely difficult, what organizations can learn from the OWASP Top 10 for LLM Applications, and how dotData is tackling these security challenges across both product and organizational levels. Why LLM Security is Uniquely Challenging Traditional software systems operate under predictable rules: for the same input, you get the same output.…
