george-gerchow

George Gerchow

IANS Faculty

Expertise

  • Cloud Security
  • DevSecOps
  • Compliance & Governance (PCI, HIPAA, ISO 27001, CSA Star, SOC 2 Type 2, FedRamp)
  • Management (Building teams, automation, auditing)
  • Privacy

Profile

George is currently chief security officer at Bedrock Data, an organization specializing in AI-driven data protection. Before that, he was head of trust and interim CISO at MongoDB and Sumo Logic's chief security officer & SVP of IT. George possesses more than 20 years of leadership experience in the domains of cybersecurity, compliance and cloud operations. He has actively participated at the forefront of secure architecture, privacy and DevSecOps since co-founding the VMware Center for Policy & Compliance.

A recognized authority in the industry, George is a frequent keynote speaker at significant security forums, including RSA, Black Hat and TEDx. He actively provides advisory services to various cybersecurity startups and enterprise technology companies, assisting in the development of product and go-to-market strategies. Additionally, George serves on several advisory boards and is a co-founder of XFoundation, a nonprofit organization dedicated to raising awareness about fentanyl poisoning.

Expertise

  • Cloud Security
  • DevSecOps
  • Compliance & Governance (PCI, HIPAA, ISO 27001, CSA Star, SOC 2 Type 2, FedRamp)
  • Management (Building teams, automation, auditing)
  • Privacy

Qualifications

Achievements & Contributions
  • Co-Founder of VMware Center for Policy and Compliance
  • Co-Author of Center for Internet Security QuickStart Cloud Infrastructure Benchmark v1.0.0
  • Author of the MIS|TI Fundamentals in Cloud Security course
  • Speaker at information security conferences such as RSA, AWS reInvent, Cloud Expo Silicon Valley, SANS Institute Cloud Security Summit
  • Former Global Director of Security Evangelism and Product Strategy and Director of VMware Policy and Compliance at VMware
  • Former Cloud Business Director at EMC
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April 16 2026

2026 Q2 Symposium: MCP Risks and Opportunities in an AI World

The Model Context Protocol (MCP), an open standard defining how AI assistants connect to external data sources and tools, is becoming vital infrastructure for generative and agentic AI applications. As organizations rapidly adopt these capabilities while managing risks, this symposium helps security leaders understand MCP's architecture, why vendors are quickly developing MCP servers, and the security risks of connecting AI systems to enterprise resources. We also explore how AI Security Posture Management (AI-SPM) tools are evolving to address these challenges and provide practical frameworks for managing MCP-enabled AI deployments.

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April 21 2026

Northern California Insight Exchange Secure MCP and Agentic AI Adoption

As organizations adopt agentic AI and begin connecting these systems to internal tools and data through the Model Context Protocol (MCP), security teams face a rapidly evolving set of architectural and operational risks. During this highly interactive session focused on peer learning and practitioner exchange, IANS Faculty George Gerchow shares his insights and facilitates discussions to help attendees compare approaches, evaluate shared challenges and develop practical guardrails for MCP and agentic AI deployments.

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May 05 2026

Houston Insight Exchange Secure MCP and Agentic AI Adoption

As organizations adopt agentic AI and begin connecting these systems to internal tools and data through the Model Context Protocol (MCP), security teams face a rapidly evolving set of architectural and operational risks. During this highly interactive session focused on peer learning and practitioner exchange, IANS Faculty George Gerchow shares his insights and facilitates discussions to help attendees compare approaches, evaluate shared challenges and develop practical guardrails for MCP and agentic AI deployments.

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May 27 2026

Denver Insight Exchange Secure MCP and Agentic AI Adoption

As organizations adopt agentic AI and begin connecting these systems to internal tools and data through the Model Context Protocol (MCP), security teams face a rapidly evolving set of architectural and operational risks. During this highly interactive session focused on peer learning and practitioner exchange, IANS Faculty George Gerchow shares his insights and facilitates discussions to help attendees compare approaches, evaluate shared challenges and develop practical guardrails for MCP and agentic AI deployments.

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