How to Mitigate AI Risks with a Secure Development Life Cycle | Cyber Risk Series - AI/LLM скачать в хорошем качестве

How to Mitigate AI Risks with a Secure Development Life Cycle | Cyber Risk Series - AI/LLM

Join Preeti Ravindra, Senior Security Engineer, as she shares actionable insights on integrating security into your AI development practices. This session is designed for security professionals, AI engineers, and data scientists looking to balance innovation with effective AI risk mitigation. Learn how to implement a secure AI development life cycle by aligning security and AI workflows from experimentation to deployment. The session explores how Secure Development Lifecycle (SDL) principles can be adapted to AI systems and examines AI risks from both model provider and consumer perspectives. Contact: sales@qualys.com You’ll gain a practical framework for identifying and addressing risk early—across infrastructure, data, and model layers—while enabling safe and scalable AI development practices. Key takeaways include: • Where AI development diverges from traditional software SDLC • How to identify risks during AI experimentation and model alignment • Effective control strategies across the AI system lifecycle • Risk mitigation approaches for LLMs, vector databases, and agentic architectures _________________________________ Follow Qualys Online: X (formerly Twitter): https://x.com/qualys LinkedIn:   / qualys   YouTube:    / @qualys   Website: https://www.qualys.com/ _________________________________ #aimitigation #securedevelopment #cyberriskmanagement #AIandLLM #techsafety #softwaresecurity #riskassessment #devsecops #aicompliance #cybersecurityawareness