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Learn AI Security - Certified AI Security Professional from Practical DevSecOps Generative AI (GenAI) is reshaping the world of technology—but it’s also creating new security blind spots. From data leakage to prompt injection attacks, enterprises face challenges that traditional security frameworks cannot fully address. In this expert session, Satyanarayana Vuppala, Head of Gen AI Security at Dun & Bradstreet, provides a deep dive into navigating security risks in Generative AI and offers proven strategies to keep your systems safe. 🔑 What You’ll Learn in This Session ✔️ Key Security Risks in GenAI Vulnerabilities in large language models (LLMs) and image generators Real-world risks: data poisoning, model inversion, and adversarial attacks ✔️ Prompt Injection & Model Exploits How attackers manipulate AI outputs Defensive measures to detect and block injection attempts ✔️ Risk Assessment Frameworks Tools & frameworks for enterprise-grade AI risk evaluation Practical approaches to governing AI responsibly ✔️ Secure Deployment Practices Securing APIs, endpoints, and user interactions Mitigating risks of shadow AI and unauthorized access 📌 Why This Matters Generative AI adoption is growing at an unprecedented rate across enterprises, finance, healthcare, and critical infrastructure. Without proper security, organizations face not just regulatory penalties but also loss of trust and potential data breaches. By the end of this session, you’ll have a clear roadmap for securing AI deployments, strengthening your organization’s cyber resilience, and ensuring compliance with evolving AI security regulations. 🎤 About the Speaker Satyanarayana Vuppala Head of Gen AI Security, Dun & Bradstreet Industry leader in AI Security, specializing in enterprise risk mitigation and secure AI deployment. ✅ Stay Ahead in AI Security Subscribe for more deep-dive sessions on DevSecOps, AI Security, and Cybersecurity trends. Don’t let your AI go rogue—secure it now.