While there are no absolutes in computer security, we design, build and operate Google Cloud Platform (GCP) with the goal to protect customers' code and data. We harden our architecture at multiple layers, with components that include Google-designed hardware, a Google-controlled firmware stack, Google-curated OS images, a Google-hardened hypervisor, as well as data center physical security and services.
Titan hardware chip | Security | Google Cloud Documentation
Learn how the Titan hardware chip works in the Titanium hardware security architecture at Google.
Secret Manager
Securely store API keys, passwords, certificates, and other sensitive data with Google Cloud’s Secret Manager.
Security research on Private Cloud Compute - Apple Security Research
Private Cloud Compute (PCC) fulfills computationally intensive requests for Apple Intelligence while providing groundbreaking privacy and security protections — by bringing our industry-leading device security model into the cloud. To build public trust in our system, we’re making it possible for researchers to inspect and verify PCC’s security and privacy guarantees by releasing tools and resources including a comprehensive PCC Security Guide, the software binaries and source code of key PCC components, and — in a first for any Apple platform — a Virtual Research Environment, which allows anyone to install and test the PCC software on a Mac with Apple silicon.
Google Cloud Platform
Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
Google Cloud Platform
Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
How Google is Making Private AI Practical with Homomorphic Encryption
Today we're excited to showcase HEIR, the latest powerful tool added to our Private Computing Toolkit. HEIR is an open source compiler that unlocks cryptographically-sec…
Private Cloud Compute: A new frontier for AI privacy in the cloud - Apple Security Research
Secure and private AI processing in the cloud poses a formidable new challenge. To support advanced features of Apple Intelligence with larger foundation models, we created Private Cloud Compute (PCC), a groundbreaking cloud intelligence system designed specifically for private AI processing. Built with custom Apple silicon and a hardened operating system, Private Cloud Compute extends the industry-leading security and privacy of Apple devices into the cloud, making sure that personal user data sent to PCC isn’t accessible to anyone other than the user — not even to Apple. We believe Private Cloud Compute is the most advanced security architecture ever deployed for cloud AI compute at scale.
Confidential Compute Open Network
Cocoon connects GPU power, AI, and Telegram’s vast ecosystem – all built on privacy and blockchain.
Tinfoil - Private AI
AI that keeps your data private at all times. Fast, powerful, and verifiable, thanks to secure hardware enclaves.
A guide to platform engineering | Google Cloud Blog
At PlatformCon 2025, we talked about “shift down” — one of the guiding principles behind Google’s approach to platform engineering.
Control access and protect artifacts | Artifact Registry | Google Cloud Documentation
This page describes Google Cloud services and features that help you to safeguard your artifacts.
Google AI Plans with Cloud Storage - Google One
Explore Google AI Plans. Access our most advanced AI, generate videos from text, and secure cloud storage.
GrapheneOS (@GrapheneOS@grapheneos.social)
Apple and Google are gradually expanding their use of hardware-based attestation. They're convincing a growing number of services to adopt it. Google's Play Integrity API and Apple's App Attest API are very similar. Apple brought it to the web via Privacy Pass, which Google intends on doing too.
Thread by @matthew_d_green on Thread Reader App
@matthew_d_green: So Apple has introduced a new system called “Private Cloud Compute” that allows your phone to offload complex (typically AI) tasks to specialized secure devices in the cloud. I’m still trying to wo...…
Agent Gateway overview | Gemini Enterprise Agent Platform | Google Cloud Documentation
Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.
CAPSEM: Contextual Agent Privacy and Security Manager
Contribute to google/capsem development by creating an account on GitHub.