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AI code security: a planned scanner
AI code security: a planned scanner. Explore a technically serious editorial project about AI systems, assumptions and security research. This guide makes the question, evidence and next steps easier to follow while keeping the scope of the page clear. The planned scanner is unavailable; there is no upload or analysis service here.
On this page
A planned code-review tool
AI code security is the research direction for a planned review tool. The scanner is not currently available, and this page does not provide a working scan, upload endpoint or analysis result. The project aims to explore how suspicious patterns and their context might be presented for human examination. Its capabilities will need evidence before they are described as operational. An interesting product idea is not the same as an implemented or validated service.
The AI code security project remains a proposal, not an operational tool. A useful planning note identifies the research question, intended reviewer and evidence needed before any specific assessment capability could be advertised.
What the project aims to examine
Code has context: purpose, dependencies, permissions and the environment in which it runs. A pattern that deserves attention cannot always be judged from one isolated line. The proposed research direction considers those relationships rather than promising an automatic label for every file. This is a description of questions to investigate, not a claim that the project already recognises particular threats or supports a defined list of programming languages.
A AI code security question should retain the surrounding code context. Dependencies, permissions and intended behaviour can affect interpretation, so an isolated pattern is an invitation to review rather than a completed judgement about intent.
Continue with Research dossiers.
Evidence before product claims
Before a product claim is justified, its assessment method and limitations need to be understood. A validation plan would need defined examples, appropriate boundaries and evidence about what the result means. It should examine both flagged and missed cases without presenting a sample demonstration as universal proof. No such completed capability or benchmark is advertised here. Future descriptions should remain tied to the actual version and checks that support them.
Validation for AI code security would need a defined method and appropriate examples. The project description should distinguish observed behaviour from a hypothesis about usefulness, and make missed or ambiguous cases part of the evaluation.
No code upload here
There is no code upload on this page. Do not send proprietary source files, private repositories, access tokens, credentials or confidential incident material through the contact email. Public research questions and openly published references are appropriate starting points. A future analysis service would require its own data-handling terms, access boundaries and supported workflow. None of those permissions is implied by the existence of this project description.
Discuss AI code security using public examples and published references only. This page does not authorise submission of proprietary files, private repositories or credentials, and there is no working upload facility hidden behind the description.
Human review and uncertainty
Human review remains part of the concept. A tool could help organise observations while still leaving intent, context and the consequential decision to an informed person. A warning is not proof of maliciousness; an absence of warnings is not proof of safety. Any future result would need to communicate what was examined and what remains uncertain. The research direction does not promise to identify every harmful behaviour or replace a complete security assessment.
A reviewer needs to understand both the observation and the limits of the method. A future tool would have to explain uncertainty rather than presenting an absence of warnings as proof that arbitrary code is harmless.
Continue with Research dossiers.
Follow the research context
Read the architecture guide to understand system components and permissions. Dangerous assumptions explains why a tool label or demonstration can exceed its evidence. Research dossiers organise those questions into a bounded account. Together, these pages provide the context in which a future scanner would need to be assessed. They remain editorial guides rather than a bundled assessment service or a claim that your own environment has been checked.
The editorial guides provide a framework for those questions today. Use architecture to discuss boundaries and dossiers to organise evidence, while keeping the proposed product separate from the current topic guides.
Discuss the research direction
Discuss the direction by suggesting a public question, a relevant publication or a clearly described problem category. Explain why the subject matters without including private code. An enquiry does not create an analysis engagement, reserve a product release or promise a response time. Current information about availability is deliberately plain: the scanner is planned and unavailable. If the project becomes operational, its actual scope and limitations will need a separate published description.
Questions before the next step
Does a technical guide certify my system?
No. A conceptual explanation or a bounded research account is not a security assessment of your deployment. A finding depends on its version, inputs, environment and stated checks. Preserve those limits when interpreting it. The research guides help frame questions, while any real assessment needs its own appropriate authority, scope and evidence.
Can I upload code for analysis here?
No. The scanner is a planned, unavailable project, and these pages provide no upload or live-analysis workflow. Do not email proprietary source code, credentials or confidential incident material. Public technical questions and source suggestions are suitable editorial inputs. A future product would require a separate description of capabilities and data-handling terms.
How do I propose a correction?
Identify the page, exact claim and public source that supports the correction. Explain whether the issue concerns a version, an observation, an interpretation or a missing boundary. A narrow, checkable question is more useful than an unsupported broad accusation. The contact route is editorial and does not promise confidential incident response or a contracted investigation.
Start with a clear question
Use the MalevolentAgent contact page for a public technical question, source suggestion or editorial correction. The email button opens your own mail application; review the message before sending and keep credentials or private records out of an initial enquiry.