OmniUil AI
github.com/uilcol/omniuil-ai- Category
- Cybersecurity
- Rank
- No. 4305Tools index
Previous survey · No. 3958 ·
- Type
- TOOL
- Use case
- Security & Identity
- GitHub
- 1 stars
- Date
About
OmniUil AI is a security scanner that combines taint analysis with local AI to detect post-quantum-cryptography risk in source code, flagging uses of algorithms like RSA, ECDSA, and Diffie-Hellman that quantum computers are expected to break. It runs entirely on the user's own infrastructure rather than sending code to an external service, checking against 14 built-in PQC rules and referencing NIST's 2024 FIPS 203/204 standards and the 2027 CNSA 2.0 compliance deadline.
At a glance
OmniUil AI scans source code for cryptographic patterns relevant to a post-quantum migration. It is worth evaluating as an inventory aid if you can verify findings before assigning remediation work.
Good fit
Developers looking for places where an application depends on existing cryptographic algorithms.
Consider something else when
Use a qualified assessment when you need a compliance or security assurance decision.
Start here
Use a synthetic repository with one known cryptographic call. Check whether the report identifies the call site and gives enough context to verify why it matters.
Cost and requirements
The project documents Rust, Python and container options. Review the deployment and plan for the features you need.
Limits to know
Scanner output is a lead. Review actual dependencies and data flows before changing cryptographic code, and verify what the deployed scanner can access.
Sources checked 2026-11-05. Source-based assessment.
Why it made the leaderboard
It flags cryptographic code vulnerable to future quantum attacks (harvest-now-decrypt-later) before mandatory PQC migration deadlines, running entirely on local infrastructure.
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.