Agentic AI Has Entered the Enterprise: Standards, Protocols, and Governance at Scale
Agentic AI Has Entered the Enterprise: Standards, Protocols, and Governance at Scale
Discover how agentic AI is transforming enterprise operations and learn essential governance strategies for safe deployment at scale. This comprehensive webinar explores the critical differences between generative and agentic AI, emerging protocols like Model Context Protocol (MCP), and real-world implementation strategies.
🔑 Key Topics Covered:
Understanding Agentic AI
Clear distinctions between generative AI and agentic AI systems
Team-based AI collaboration vs individual AI assistance
Supervisor vs swarm architectures for enterprise deployment
Technical Deep Dive
Model Context Protocol (MCP) implementation and security
A2A protocols for autonomous agent communication
Real-world enterprise architecture patterns
Security & Governance
Protection models for PII detection and prompt injection attacks
Approval workflows for MCP tools and agent deployments
Risk management strategies for autonomous AI systems
Live Demo Highlights
Importing and managing MCP tools in enterprise environments
Implementing protection models with Microsoft Presidio
Agentic chat interface for AI governance and monitoring
Automated ticket creation and workflow integration
⚠️ Real-World Case Study:
Learn from Asana's recent MCP vulnerability disclosure that forced a two-week shutdown and complete customer connection reset, highlighting the critical importance of proper governance frameworks.
🎯 Perfect For:
AI/ML leaders and practitioners
Enterprise architects
Data science teams
Business executives evaluating agentic AI adoption
Anyone interested in enterprise AI governance
🛠️ Technologies Demonstrated:
ModelOp governance platform
Anthropic's MCP tools
Microsoft Presidio for PII protection
ChatGPT-4o integration
Python-based protection models
📊 What You'll Learn:
✅ How to safely operationalize agentic AI in enterprise environments
✅ Best practices for MCP tool management and security
✅ Implementation of automated governance workflows
✅ Strategies for maintaining visibility and control at scale
✅ Real-world architecture patterns for agentic systems
🚀 Ready to Get Started?
Request a demo of ModelOp's agentic AI governance solutions and see how leading enterprises are safely scaling autonomous AI systems.
Presenter: Jim Olsen, CTO at ModelOp
Host: Jay (ModelOp Team)
💡 Don't miss our upcoming content:
New podcast series on enterprise AI governance
Additional webinars on emerging AI technologies
Deep-dive tutorials on agentic AI implementation
Connect with us:
Visit modelop.com for demos and resources
Follow us for the latest in AI governance
Subscribe for more enterprise AI content
#AgenticAI #EnterpriseAI #AIGovernance #MachineLearning #ModelOp #MCP #AIArchitecture #DataScience #ArtificialIntelligence #TechWebinar
Видео Agentic AI Has Entered the Enterprise: Standards, Protocols, and Governance at Scale канала ModelOp
Discover how agentic AI is transforming enterprise operations and learn essential governance strategies for safe deployment at scale. This comprehensive webinar explores the critical differences between generative and agentic AI, emerging protocols like Model Context Protocol (MCP), and real-world implementation strategies.
🔑 Key Topics Covered:
Understanding Agentic AI
Clear distinctions between generative AI and agentic AI systems
Team-based AI collaboration vs individual AI assistance
Supervisor vs swarm architectures for enterprise deployment
Technical Deep Dive
Model Context Protocol (MCP) implementation and security
A2A protocols for autonomous agent communication
Real-world enterprise architecture patterns
Security & Governance
Protection models for PII detection and prompt injection attacks
Approval workflows for MCP tools and agent deployments
Risk management strategies for autonomous AI systems
Live Demo Highlights
Importing and managing MCP tools in enterprise environments
Implementing protection models with Microsoft Presidio
Agentic chat interface for AI governance and monitoring
Automated ticket creation and workflow integration
⚠️ Real-World Case Study:
Learn from Asana's recent MCP vulnerability disclosure that forced a two-week shutdown and complete customer connection reset, highlighting the critical importance of proper governance frameworks.
🎯 Perfect For:
AI/ML leaders and practitioners
Enterprise architects
Data science teams
Business executives evaluating agentic AI adoption
Anyone interested in enterprise AI governance
🛠️ Technologies Demonstrated:
ModelOp governance platform
Anthropic's MCP tools
Microsoft Presidio for PII protection
ChatGPT-4o integration
Python-based protection models
📊 What You'll Learn:
✅ How to safely operationalize agentic AI in enterprise environments
✅ Best practices for MCP tool management and security
✅ Implementation of automated governance workflows
✅ Strategies for maintaining visibility and control at scale
✅ Real-world architecture patterns for agentic systems
🚀 Ready to Get Started?
Request a demo of ModelOp's agentic AI governance solutions and see how leading enterprises are safely scaling autonomous AI systems.
Presenter: Jim Olsen, CTO at ModelOp
Host: Jay (ModelOp Team)
💡 Don't miss our upcoming content:
New podcast series on enterprise AI governance
Additional webinars on emerging AI technologies
Deep-dive tutorials on agentic AI implementation
Connect with us:
Visit modelop.com for demos and resources
Follow us for the latest in AI governance
Subscribe for more enterprise AI content
#AgenticAI #EnterpriseAI #AIGovernance #MachineLearning #ModelOp #MCP #AIArchitecture #DataScience #ArtificialIntelligence #TechWebinar
Видео Agentic AI Has Entered the Enterprise: Standards, Protocols, and Governance at Scale канала ModelOp
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26 июня 2025 г. 19:57:55
00:29:11
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