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Securing Enterprise Agentic AI Infrastructure & Governance

16 de jul. de 2026 · 53m 10s
Securing Enterprise Agentic AI Infrastructure & Governance
Descripción

As enterprises move toward Agentic AI, autonomous workflows, and AI-powered decision systems, securing and governing AI infrastructure has become a critical strategic priority. Unlike traditional software, AI agents can reason,...

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As enterprises move toward Agentic AI, autonomous workflows, and AI-powered decision systems, securing and governing AI infrastructure has become a critical strategic priority. Unlike traditional software, AI agents can reason, access data, interact with systems, and execute actions—creating new challenges around security, governance, identity, compliance, and operational control.
In this episode, we explore Securing and Governing Enterprise Agentic AI Infrastructure, examining how organizations build secure AI foundations that enable innovation while protecting sensitive data, business processes, and digital ecosystems.
Learn how enterprises design AI security architectures, implement governance frameworks, manage AI agent identities, monitor autonomous behaviors, and establish controls that ensure reliable and responsible AI deployment.
From AI infrastructure security and access management to agent lifecycle governance and regulatory readiness, this episode provides a strategic blueprint for organizations preparing for the autonomous AI era.
Whether you're a CEO, CIO, CTO, CISO, Chief AI Officer, enterprise architect, security leader, AI strategist, or technology executive, this episode delivers practical insights into building secure, scalable, and trusted Agentic AI environments.
In This Episode, You'll Learn:
Enterprise Agentic AI infrastructure explained
Security challenges of autonomous AI systems
AI agent identity and access management
Zero Trust architecture for AI environments
AI governance frameworks and controls
Protecting enterprise data in AI systems
AI agent permissions and authorization models
Model security and threat management
Prompt injection and AI attack prevention
AI monitoring and observability
Agent lifecycle management
Multi-agent system governance
AI compliance and regulatory readiness
Human oversight for autonomous systems
Secure API integration for AI agents
AI risk assessment strategies
Enterprise AI security architecture
Building trustworthy AI operations
Scaling Agentic AI safely
Future trends in AI cybersecurity
Discover how enterprises can confidently deploy autonomous AI systems by combining security engineering, governance frameworks, and strategic leadership to create resilient AI-powered organizations.
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Autor Mark M Pearson
Organización Mark M Pearson
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