Free Guide

AI Security Architecture Blueprint

Reference security architecture for enterprise AI deployments. Network, application, data, and identity layers with implementation guidance.

TL;DR

—Reference security architecture for enterprise AI deployments.
—Expert insights on AI for companies and security.
—Complimentary resource provided by Remova.

Architecture Overview

Four-layer security architecture: perimeter (network controls), application (AI safety layer), data (DLP and encryption), and identity (access management). Each layer provides defense-in-depth with independent controls.

Network Layer Design

Implement: TLS 1.3 termination at load balancer, Web Application Firewall (WAF) rules for AI traffic, private endpoints for on-premises integration, egress filtering to approved AI providers only, and DDoS protection.

Application Layer Design

Deploy AI safety layer with: input validation pipeline (rule-based → semantic analysis), output screening pipeline (content safety → brand safety), rate limiting engine, session management, and comprehensive request/response logging.

Identity Layer Design

Implement: SAML 2.0/OIDC for SSO, MFA enforcement via identity provider, three-tier RBAC (admin → department head → user), JWT-based session management, API key governance with rotation policies, and automated provisioning/deprovisioning.

Knowledge Hub

Resource FAQs

Yes. Remova provides this guide as a complimentary resource to help organizations understand and implement the best practices for AI for companies.

This resource covers architecture overview and other key areas, providing actionable insights that you can use to secure your organization's AI for companies strategy.

Absolutely. Many of the concepts discussed in this guide are natively supported and enforced by Remova's governance layer, making it the ideal platform for executing your AI for companies plans.

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