3. Agentic AI - Proof of Concept Governance & Security: Protecting IP and Data скачать в хорошем качестве

3. Agentic AI - Proof of Concept Governance & Security: Protecting IP and Data

In this video, Adrian Wright, CEO and founder of Estafet, sits down with Branimir Angelov, Enterprise Architect, to discuss the critical governance and security considerations when running an AI Proof of Concept (PoC) within your enterprise workflows or applications. AI adoption is accelerating rapidly, and one of the first questions businesses ask is: “How can we safely use AI without compromising our intellectual property or sensitive data?” Branimir shares practical insights on how enterprises can balance innovation with compliance, covering: How cloud technologies (public, private, hybrid) provide secure environments for AI PoCs Leveraging managed MLOps platforms to streamline AI development while protecting IP Ensuring data governance and regulatory compliance during training and inference Aligning sandbox PoCs with your organization’s IT governance policies Best practices for creating a clear path from PoC to production Whether you’re a business owner, project manager, or IT architect, this discussion highlights the key steps to confidently explore AI opportunities while safeguarding your business. 🔹 Key Takeaways: 1. Select MLOps platforms with no third-party IP or license restrictions 2. Ensure the sandbox environment adheres to your IT governance and security standards 3. Protect sensitive business data during both model training and inference 4. Integrate compliance considerations into your AI business case from the start 5. Understanding governance and security early ensures that your AI initiatives are both innovative and safe, reducing risk while unlocking new business value.