How to Secure Custom AI Agents & Enforce Compliance with Gemini Enterprise | Webinar Recording

In this webinar, experts from Zazmic and Google dive deep into agent security, compliance, and governance within Google Cloud. Learn how to build secure, production-ready AI workflows by leveraging Vertex AI Agent Builder, Gemini Enterprise, and Model Armor to enforce strict security guardrails.

Key Topics Covered:
- AI Agent Platforms: Exploring framework landscapes from code-first (LangGraph, CrewAI, AutoGen) to low-code and enterprise hyperscaler suites.
- Enterprise AI Governance: Why consumer AI differs from enterprise AI, centering the security boundary on user identity rather than god-mode bot accounts.
- Securing Custom Agents: Mapping data risk, runtime risk, and egress/action risk using Workforce Identity Federation and managed agent runtimes.
- Knowledge Retrieval Boundaries: Choosing between live Data Federation (Zero Trust runtime queries) and Data Ingestion with strict ACL mirroring.
- Model Armor & Front-End Security: Operating an inline AI firewall to intercept prompt injections, prevent PII leaks, and utilizing Chrome Enterprise Premium to neutralize "Shadow AI" browser leaks.
- Continuous Compliance: Leveraging Google Security Command Center to monitor compliance frameworks like ISO 27001, SOC 2, HIPAA, and the EU AI Act.11

#enterpriseai #googlecloud #vertexai #geminienterprise #datasecurity #cybersecurity #cloudcompliance #zazmic

Видео How to Secure Custom AI Agents & Enforce Compliance with Gemini Enterprise | Webinar Recording канала Zazmic Inc