Meta introduces privacy features for AI assistant Muse

Meta official logo (public domain, Wikimedia Commons) — CryptoBriefing brand treatment

Meta introduces privacy features for AI assistant Muse

The company's new personal AI agent runs in isolated cloud virtual machines and lets users opt out of model training by default.

Meta just did something it has historically struggled to do: make a convincing privacy pitch. The company launched Muse, a personal AI agent, on September 8, 2026, and the central selling point isn’t what the agent can do. It’s what Meta promises not to do with your data.

The market response suggests investors are buying the pitch. Meta’s stock surged more than 20% following the announcement, and Muse racked up roughly 2.8 million installs in its first 12 days.

What Muse actually does

Muse isn’t another chatbot that answers trivia questions and writes mediocre poetry. It’s an AI agent, meaning it acts on your behalf across connected applications and a built-in browser. Send emails, shop online, book services.

The subscription model comes in three tiers: free, $20 per month, and $100 per month, with different levels of capability at each price point. The initial rollout covers users aged 18 and older in the US, accessible through iOS, Android, web interfaces, and WhatsApp integration.

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At Meta Connect 2026, held September 23-24, the company revealed partnerships with Walmart and PayPal to expand what Muse can actually transact on.

The privacy architecture

Each user gets their own isolated cloud virtual machine. On top of that isolation sits a Sentinel agent, a supervisory AI layer that oversees permissions and flags sensitive tasks before they execute.

The opt-out for model training is turned on by default at launch. Meta has stated that Muse data won’t feed into its advertising systems.

Later in 2026, Meta plans to test Muse Confidential VM, an even more locked-down version where all data is encrypted using keys held exclusively by the user.

Why Meta needs this to work

The subscription model also represents a strategic pivot. Meta has traditionally been an advertising company, full stop. Muse introduces direct consumer revenue that doesn’t depend on selling attention to advertisers. At $20 and $100 monthly tiers, even modest conversion rates across Meta’s massive user base could generate significant recurring revenue.

The Walmart and PayPal partnerships hint at another revenue stream entirely: transaction facilitation. If Muse becomes the interface through which users make purchases, Meta could capture a slice of e-commerce that currently flows through Amazon, Google Shopping, and direct brand websites.

Meta has been pushing AI glasses and other wearable products, and a proactive AI agent that integrates with those devices creates an ecosystem play. The stock surge reflects optimism about all of these revenue vectors converging.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.
Meta introduces privacy features for AI assistant Muse
Meta introduces privacy features for AI assistant Muse

The company's new personal AI agent runs in isolated cloud virtual machines and lets users opt out of model training by default.

Meta official logo (public domain, Wikimedia Commons) — CryptoBriefing brand treatment

Meta just did something it has historically struggled to do: make a convincing privacy pitch. The company launched Muse, a personal AI agent, on September 8, 2026, and the central selling point isn’t what the agent can do. It’s what Meta promises not to do with your data.

The market response suggests investors are buying the pitch. Meta’s stock surged more than 20% following the announcement, and Muse racked up roughly 2.8 million installs in its first 12 days.

What Muse actually does

Muse isn’t another chatbot that answers trivia questions and writes mediocre poetry. It’s an AI agent, meaning it acts on your behalf across connected applications and a built-in browser. Send emails, shop online, book services.

The subscription model comes in three tiers: free, $20 per month, and $100 per month, with different levels of capability at each price point. The initial rollout covers users aged 18 and older in the US, accessible through iOS, Android, web interfaces, and WhatsApp integration.

Advertisement

At Meta Connect 2026, held September 23-24, the company revealed partnerships with Walmart and PayPal to expand what Muse can actually transact on.

The privacy architecture

Each user gets their own isolated cloud virtual machine. On top of that isolation sits a Sentinel agent, a supervisory AI layer that oversees permissions and flags sensitive tasks before they execute.

The opt-out for model training is turned on by default at launch. Meta has stated that Muse data won’t feed into its advertising systems.

Later in 2026, Meta plans to test Muse Confidential VM, an even more locked-down version where all data is encrypted using keys held exclusively by the user.

Why Meta needs this to work

The subscription model also represents a strategic pivot. Meta has traditionally been an advertising company, full stop. Muse introduces direct consumer revenue that doesn’t depend on selling attention to advertisers. At $20 and $100 monthly tiers, even modest conversion rates across Meta’s massive user base could generate significant recurring revenue.

The Walmart and PayPal partnerships hint at another revenue stream entirely: transaction facilitation. If Muse becomes the interface through which users make purchases, Meta could capture a slice of e-commerce that currently flows through Amazon, Google Shopping, and direct brand websites.

Meta has been pushing AI glasses and other wearable products, and a proactive AI agent that integrates with those devices creates an ecosystem play. The stock surge reflects optimism about all of these revenue vectors converging.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.