AI agents expand the attack surface
As enterprises connect agents to multiple models, clouds, and data sources, the attack surface expands beyond traditional application boundaries. Organizations connecting multiple agents to multiple models, clouds, and data sources face new security gaps, ballooning costs, governance complexity, and compliance obligations under GDPR and the EU AI Act. Traditional security tools were not designed for AI-native traffic and often miss AI-specific risks such as prompt injection, data leakage, and harmful outputs.
Consistent security policies across AI ecosystem
F5® AI Guardrails, deployed within the Equinix Distributed AI Hub, provides policy enforcement, visibility, and governance for distributed AI workflows across hybrid and multicloud environments.
The Equinix Distributed AI Hub, available globally at 280+ Equinix data center locations, provides a globally distributed framework that interconnects data, compute, cloud platforms, and AI ecosystem partners at high-bandwidth, low-latency interconnection points. By taking advantage of the Distributed AI Hub, enterprises can place AI inference, data access, and policy enforcement close to data sources, users, and cloud services, reducing latency, preserving data sovereignty, and minimizing unnecessary data movement. AI Guardrails adds policy-based protection, centralized visibility, and audit-ready governance, turning the network into a policy-enforced AI control plane where every interaction is governed by consistent guardrails across clouds, models, and agents.
Where F5 and Equinix help enterprises
Prevent sensitive data leakage to LLMs
Detect and block sensitive disclosures before data leaves secure environments. Policy-based controls enforce access privileges and produce audit-ready logs to support compliance with GDPR and the EU AI Act.
Centralize governance across distributed AI
Maintain consistent policies and controls across clouds, models, agents, and environments with centralized visibility into every AI interaction.
Protect against model misbehavior and harmful outputs
Reduce reputational and regulatory risk by blocking harmful, biased, or noncompliant AI outputs with content moderation controls and traceable enforcement actions.
Support data privacy and sovereignty
Align where AI runs and where data lives with flexible deployment across cloud, hybrid, and on-premises environments to meet sovereignty requirements without compromising performance.
Gain control of shadow AI
Improve visibility over unsanctioned AI usage to reduce data exposure, control spend sprawl, and enforce consistent policies across distributed access points.
Why AI Guardrails at the Equinix Distributed AI Hub
With on-premises guardrails capabilities that are unique in the Distributed AI Hub ecosystem, F5 enables organizations to easily meet data sovereignty requirements. Deployment options across colocation, hybrid, and on-premises environments provides enterprises the flexibility to run at scale and keep AI traffic within private infrastructure.
AI Guardrails is purpose-built to understand AI intent during interaction, not just inspect network traffic. This means policy enforcement that reasons about what is happening inside an AI interaction, detects prompt injection and data leakage at the semantic level, and produces traceable, audit-ready enforcement decisions.
An adaptive policy engine maintains governance continuity as organizations add new models or shift between providers, minimizing the need to redefine policies as models and providers change. Pre-built compliance guardrails for GDPR, HIPAA, and the EU AI Act give security and compliance teams a defensible position from day one.
Learn more at f5.com/ai-guardrails or visit f5.com/equinix to see our partnership in action.
Key benefits
Secure AI interactions across distributed environments
Detect and block prompt injection, sensitive data exposure, and policy violations during AI interactions to reduce risk before data leaves controlled environments.
Flexible deployment aligned to data sovereignty
Deploy within Equinix colocation, hybrid, or on-premises environments to keep AI traffic, data, and policy enforcement within controlled infrastructure, including support for private and air-gapped environments.
Centralized governance and auditability
Enforce policies and generate traceable records of AI interactions, model responses, and enforcement actions across clouds and environments.
Consistent policy enforcement across models and providers
Apply the same policy controls across multiple models, endpoints, and cloud environments without requiring separate policy frameworks.
Cost control and visibility into AI usage
Correlate model usage, request volume, and policy enforcement to identify inefficiencies, reduce unnecessary spend, and expose unsanctioned AI usage.
Key features
AI-native policy engine
Understands AI intent and context during interactions, not just network traffic.
Outcome analysis and traceability
Audit-ready evidence packages with traceable reasoning for every enforcement decision.
On-premises and hybrid deployment
Scales to large AI factories and data-sovereign environments across colocation and cloud.
Private interconnection to the Equinix ecosystem
Direct connectivity to 10,000+ ecosystem partners, including cloud providers, data platforms, and AI services.
Centralized visibility and control
Unified dashboards across models, agents, users, and cloud environments.