Securing AI at the Silicon Level: Synopsys Solutions for a Smarter, Safer Future

Learn how silicon-level security protects AI data, models, and accelerators across edge and data-center environments.

Threat Landscape for AI Systems

AI Governance: Regulation and Standards

Edge AI vs. Data Center AI: Security Challenges and Hardware-Based Solutions

End-to-End Protection for AI Ecosystems

The Synopsys Offering: Comprehensive Security IP for AI Systems

White Paper Overview

This white paper explains how Synopsys Security IP embeds hardware‑rooted protection into AI SoCs and chiplets to secure their data and models. It highlights growing AI attack vectors across edge and data‑center environments and shows how technologies like PUF, tRoot HSM, interface security, and PQC create long‑term, silicon‑level trust.

Why read this whitepaper:
• Learn how silicon‑level security protects AI data, models, and accelerators across edge and cloud
• Understand emerging AI security regulations and how hardware‑rooted designs support compliance
• See how PUF, tRoot HSM, and interface security establish end‑to‑end platform trust
• Discover how PQC and other quantum‑safe solutions futureproof long‑lifecycle AI systems