Prem AI launched public access to CyberScan, a tool for continuous AI security audits of Bitcoin infrastructure, in a sponsored release carried by Decrypt. The launch included free starter credits and a GitHub workflow that scans code, after Prem AI said the system had helped more than 20 teams find critical vulnerabilities.

Public Access Adds a GitHub Security Workflow

CyberScan opened to the public with free starter credits and a workflow that can surface findings through GitHub's code scanning alerts and issues. Those access features put the security tool within reach of developers who want to assess code changes through familiar repository review channels.

The documented GitHub workflow, as described in the launch material, is narrower than an independently verified claim that the tool can directly control or fully audit any connected repository. Free starter credits give new users a defined way to begin testing the product without first committing to paid use.

CyberScan was presented as a tool for repeatable, resumable security reviews of Bitcoin infrastructure. Prem AI says it uses open source models through confidential infrastructure, while the launch material says the product is meant to complement expert review rather than replace it.

Prem AI Reports More Than 20 Teams Helped

Prem AI said CyberScan had helped more than 20 teams identify critical vulnerabilities (its own count) before the tool's public launch. This figure remains a claim attributed to the company. It is not an independent performance benchmark.

Ark Labs separately said it used Prem AI for confidential access to an open source model and helped tune audit patterns specific to Bitcoin. That firsthand account supports the product's Bitcoin focus, but it does not prove that an automated review will catch every issue that needs attention.

The reported use by more than 20 teams offers evidence that CyberScan was tested before its wider release. It does not guarantee a particular detection rate, and free starter credits do not make individual findings valid on their own.

Why It Matters

Ark Labs reported an elevated number of attempted attacks and of attacks assisted by AI. That makes faster security reviews useful, and the launch material says CyberScan complements expert review rather than replacing it. Bitcoin software protects sovereign money, so developers still need to reproduce findings, inspect the affected code, and judge the repair, because each reported flaw needs evidence another reviewer can verify independently. Bitcoin Breakdown argues that CyberScan earns trust when its output strengthens that verification process, documents reproducible evidence, and helps human reviewers find important flaws sooner through disciplined, repeatable review. That is different from asking them to accept an opaque security score.