Enterprise Architecture Whitepaper
Governing the AI Coworker
A comprehensive framework for securing AI agent deployments in enterprise environments. This whitepaper introduces a multi-layer security architecture that governs AI coworkers across edge and server topologies, establishing trust relationships and control pillars for safe AI adoption.
What you'll learn:
- AI agents as a new security actor: Why traditional user-system models don't apply and what new governance approaches are needed
- Edge vs. Server deployment: When to embed security at endpoints vs. centralize control for high-assurance workloads
- Multi-layer security architecture: A framework where AI execution flows through governed layers with F5 products anchoring key security pillars
- Unified control plane: How to maintain consistent security posture across distributed AI deployments through centralized policy management
Who it's for
- CISOs and Security Leaders evaluating AI agent security frameworks and risk mitigation strategies
- Enterprise & Security Architects designing AI governance structures and implementing multi-layer security controls
- IT Leaders and CIOs making strategic decisions about AI deployment topologies and infrastructure
- Platform & AI/ML Operations Teams building and managing governed AI agent deployments in production