AI Safety Engine · Beta Access Open

Pre-execution
intelligence.

Auralis catches unsafe code patterns before they run —
not after the damage is done. Multi-stage AI reasoning meets
sandboxed execution in a single developer workflow.

See How It Works ↓
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Three layers of protection,
before a single line runs.

01

Pre-scan

Regex-level pattern matching flags dangerous constructs the moment you type — shell injections, file system escapes, network abuse, and more.

02

AI Reasoning

Multi-stage LLM analysis streams its reasoning in real time — intent classification, complexity scoring, risk vector extraction, and confidence calibration.

03

Sandboxed Run

Only code that clears all safety gates reaches the sandbox. Sessions are persisted via Cybase so your analysis history is always retrievable.

Built for code intelligence,
not for chat.

Runtime-first safety

Auralis operates on the pre-execution boundary — where security decisions actually matter. No post-hoc analysis, no false sense of security.

Streaming AI reasoning

Watch the model think in real time. Each stage — intent, complexity, risk, validation — streams token-by-token so you understand the verdict, not just receive it.

Configurable Safe Modes

Strict blocks on any flagged pattern. Balanced routes medium-risk to AI review. Permissive is advisory only. Match enforcement to your workflow.

Session persistence

Every analysis is stored via Cybase — retrievable, comparable, and auditable. Build a history of your codebase's safety trajectory over time.

Multi-language support

JavaScript, TypeScript, Python, Go, Rust, Java, C++, C#, and more. Language-aware analysis means fewer false positives across your stack.

GitHub-native access

Sign in with GitHub for instant access. Your identity is verified, your sessions are scoped, and your data never leaves the security perimeter.

Start analyzing
your code.

Free beta access. No credit card required. Sessions stored securely.

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