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/01  AI security scanner

Find it.Then fix it.

A scanner that hands you a list has done half a job. The Security specialist reports what it found, rewrites the code that caused it, and scans the rewrite before you ever see it.

AI security scanning
AI security scanning is the analysis of source code by a language model to find exploitable weaknesses: injection, broken access control, leaked credentials, unsafe deserialisation and weak cryptography among them. It differs from traditional SAST in reasoning about whether a path is genuinely reachable and genuinely dangerous, rather than reporting every pattern that resembles a known signature. It covers first-party source only, and is not a substitute for dependency, container or infrastructure scanning, which look at entirely different surfaces.
/02  Context

Why thisis a problem.

Why generated code is a security problem specifically

An assistant writes the code that satisfies the request. Nothing in the request usually says the query must be parameterised, the token must not reach the log, or the identifier being checked must be the one from the session rather than the one from the request body.

So the code works, ships, and carries a vulnerability that no reviewer noticed because the code around it looks professional. This is the most common way AI-assisted work goes wrong in production, and it is why the Security specialist always runs and cannot be turned off.

Severity means something specific here

CRITICAL means immediately exploitable with no additional steps. HIGH means significant risk that requires specific conditions to be met. MEDIUM means limited immediate risk. LOW means a best-practice violation with no security consequence.

PASS is the category most scanners omit, and it marks a pattern you implemented correctly. It exists because a report that only ever lists failures trains people to stop reading it.

/03  Coverage

What it looks for

  • Injection

    SQL, NoSQL, command and template injection, including the cases where input is validated somewhere but not on the path that reaches the sink.

  • Broken access control

    Authorisation checks that are missing, that run after the effect, or that validate an identifier taken from the request rather than the session.

  • Secrets and leakage

    Credentials in source, tokens written to logs or error responses, and internal detail returned to a caller who should not see it.

  • Unsafe handling

    Deserialisation of untrusted input, unvalidated redirects, path traversal, and file handling that trusts a client-supplied name.

  • Weak cryptography

    Broken or outdated algorithms, predictable randomness where unpredictability is the requirement, and keys or salts that are hardcoded.

/04  How

Scanning code

  1. Submit the code

    Paste it in the browser, run it from VS Code, let the GitHub App review a pull request, or call the public API. The Security specialist runs on every review regardless of which specialists you selected.

  2. Read CRITICAL and HIGH first

    Severity is defined by exploitability rather than by how alarming the pattern looks. CRITICAL is exploitable as written, HIGH needs specific conditions to line up.

  3. Check the rewrite

    Every finding comes back with corrected code that has been scanned again before reaching you. It is a proposal, not a patch: it has not run your tests.

  4. Cover the other surfaces elsewhere

    This reads your source and nothing else. Dependencies, container images and infrastructure as code need a tool built for them.

/05  Limits

What itdoes not do.

  • Known vulnerabilities in your open source dependencies. Nexdge does not read your package manifest, and for most applications that is the larger exposure.
  • Container images and infrastructure as code. Neither is parsed at all.
  • Runtime behaviour. Nothing is executed, so this is not a penetration test, a DAST scan or a substitute for either.
  • Compliance certification. A clean review is evidence you can point at, not an attestation, and nobody should present it as one.
  • Any guarantee of completeness. No scanner of any kind can promise it found everything, and a tool that implies otherwise is selling you something.
/06  Questions

The onesworth asking.

What is an AI security scanner?
An AI security scanner analyses source code with a language model to find exploitable weaknesses such as injection, broken access control, leaked secrets and weak cryptography. It differs from traditional static analysis in reasoning about whether a dangerous path is genuinely reachable, rather than flagging every pattern that matches a signature.
Does this replace Snyk or a dependency scanner?
No. Nexdge reads first-party source code only. It never opens your package manifest, so it cannot tell you a dependency has a known vulnerability, and it does not scan container images or infrastructure as code. Those are different surfaces and need a tool built for them.
Is this a penetration test?
No. Nothing is executed. This reads code and reasons about it, which means a weakness that only appears under real traffic, real data or real concurrency will not be found here. Penetration testing and dynamic scanning remain separate exercises.
Can I use a clean report for SOC 2 or ISO 27001?
It is evidence, not certification. A review record showing code was checked before it shipped is useful to an auditor asking how you assure code quality, but no scan output from any vendor is itself an attestation, and presenting it as one will not survive contact with an assessor.
Is my code retained during a scan?
No. Code is processed in an ephemeral environment and destroyed at the end of the review. Nothing is written to disk and nothing is retained in our database.
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