Meet Solstice

The all-new engine behind Aura,
built to do the work of protecting you.

Available in limited beta. Features and access vary.

Scams got smarter,
so did we

For 40 years, consumer security put the work on you: run the scan, read the alert, fix the problem. Now, AI-powered scams can run at scale, and that approach no longer keeps up.

$20.9B

reported lost to cybercrime in 2025,
a record.

85%

of cybercrime losses exploit people,
not code.

Nearly $900M

tied to AI-related complaints, the floor,
not the ceiling.

Source: FBI

Aura spent eight years on one of the hardest problems in consumer security and rebuilt our digital protection from the ground up.

We named the engine Solstice for the point in the year when the light turns.

FPO
From what happened, to what it means.
From forty alerts, to the one that matters.
From separate threads to a unified picture.
From software that warns you to a system that helps you take care of it.

Inside Solstice

Solstice is an engine, not a feature. Built in-house, its five parts work together to bring you next-generation protection, always with the family’s OK.

Data collectors

One unified stream aggregating alerts across identity, money, devices, and kids.

A household knowledge graph

Connects related signals over time into a single coherent story.

A machine learning stack

Specialized models tuned to detect scams, fraud, and family threats.

A foundation model

Trained on billions of real events to spot emerging attack sequences.

An action plane

Targeted agents step in to help you resolve issues wherever threats arise.

Always with your OK

Critical settings and credit files change only with your explicit approval.

Intelligent safety, delivered

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Built to be trusted

AI should earn your trust, not just ask for it. We built Solstice around three core commitments: human-centered decisions, source-backed explainability, and accountable safety.

We put these principles into practice through:

Responsible data use

Solstice analyzes household patterns strictly to detect threats—never to profile or sell your data.

Private training

We take steps to de-identify security events used for model training to help protect individual privacy.

Protected data

Your information is encrypted in transit and at rest, retained only as long as necessary.

User control

You decide what runs in the background, with transparency into every action taken.