Forum Discussion
AI is changing the game—and so are the threats.
As generative AI and large language models (LLMs) become central to modern applications, they introduce new, unique security challenges that traditional software wasn’t built to handle. From prompt injection to model poisoning and jailbreaks, the attack surface is evolving fast.
In this edition of Microsoft’s Software Development Company Security Series, they dive into the top AI security risks, how they map to the OWASP Top 10 for LLMs, and the practical mitigations dev teams can apply today. Whether you're building with OpenAI, Azure AI, or custom models, this is a must-read for anyone shipping secure, responsible AI.
👉 Read the full breakdown: Navigating AI security: Identifying risks and implementing mitigations
1 Reply
Absolutely, AI security is quickly becoming just as critical as model performance. The OWASP Top 10 for LLMs is a great framework to understand emerging threats like prompt injection and data leakage. It's encouraging to see Microsoft providing practical guidance; dev teams need clear, actionable steps to build AI systems that are not only powerful but also secure and trustworthy.
