hardware-security
Safeguard articles tagged "hardware-security" — guides, analysis, and best practices for software supply chain and application security.
8 articles
AI Chip Security: What Accelerators Mean for Your Threat Model
An AI chip is specialized hardware for running machine learning workloads, and it brings its own security concerns from supply chain to firmware. Here is what matters.
AI Chip Architecture: A Security Guide for Accelerated Compute
AI chip architecture shapes the security surface of accelerated compute. Here is how GPUs, TPUs, and NPUs are built and where the real risks live.
AI Accelerators: A Security Guide to the Hardware Running Your Models
AI accelerators are the specialized chips that make model training and inference fast, and they bring their own attack surface: memory leakage, driver stacks, and firmware you did not write. Here is what to secure.
Introduction to confidential computing and hardware-based...
Confidential computing seals data in use inside hardware-encrypted enclaves, closing the last gap in the encrypt-everywhere model. Here's how it works.
What Is a Hacking Device? A Defender's Guide
A defender's guide to the hacking device: what these physical tools are, how the common categories work conceptually, and how to defend against them.
Confidential Computing: A New Trust Model for Software Supply Chains
Confidential computing protects data in use through hardware-based enclaves. It could fundamentally change how we think about supply chain trust.
Retbleed: The Spectre Variant That Haunts Modern CPUs (CVE-2022-29900)
Retbleed exploits return instructions to bypass Spectre mitigations on AMD and Intel processors. Here's what it means for your infrastructure.
Hardware Supply Chain Trust Boundaries
Hardware travels through dozens of hands before reaching your data center. Understanding and enforcing trust boundaries across the hardware supply chain is essential for building secure systems.
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