Is 42Crunch good for AI feature pre-release gate?

What middleBrick covers

  • Black-box API scanning without agents or code access
  • Read-only methods with strict network safety controls
  • 12 OWASP API Top 10 (2023) detection categories
  • LLM adversarial probes for prompt injection and jailbreaks
  • OpenAPI 3.x and Swagger 2.0 spec-aware analysis
  • Authenticated scanning with domain verification gate

Scope and approach for AI feature pre-release gate

An AI feature pre-release gate should validate API surface security before exposure, focusing on runtime behavior rather than static assumptions. middleBrick is a black-box API security scanner designed to assess deployed endpoints using read-only methods. It does not instrument code or require access to model weights, making it applicable to scenarios where source is unavailable or models are hosted externally.

Detection coverage relevant to AI feature endpoints

AI features often expose new HTTP surfaces, webhooks, or callback URLs that expand the attack boundary. The scanner covers 12 categories aligned to OWASP API Top 10 (2023), including Authentication, SSRF, Data Exposure, Unsafe Consumption, and LLM / AI Security. For LLM-specific risks, the scanner executes 18 adversarial probes across Quick, Standard, and Deep tiers, targeting system prompt extraction, instruction override, jailbreak attempts, data exfiltration, token smuggling, and prompt injection variants.

OpenAPI and spec-aware analysis

The scanner parses OpenAPI 3.0, 3.1, and Swagger 2.0 documents with recursive $ref resolution. It cross-references spec definitions against runtime findings to highlight undefined security schemes, sensitive fields, deprecated operations, and missing pagination. This helps identify discrepancies between intended AI feature behavior and actual runtime exposure, especially when endpoints accept URL or body inputs that may enable SSRF or data leakage.

Authenticated scanning and deployment constraints

Authenticated scanning (Starter tier and above) supports Bearer, API key, Basic auth, and Cookie methods, gated by domain verification to ensure only domain owners can scan with credentials. Header forwarding is limited to Authorization, X-API-Key, Cookie, and X-Custom-* to reduce unintended side effects. The scanner enforces read-only methods and blocks private IPs, localhost, and cloud metadata endpoints at multiple layers, aligning with safe assessment practices for pre-release environments.

Limitations and complementary practices

middleBrick does not fix, patch, block, or remediate findings; it detects and reports with remediation guidance. It does not perform active SQL injection or command injection testing, which requires intrusive payloads outside its scope. Business logic vulnerabilities and blind SSRF requiring out-of-band infrastructure are also out of scope. For high-stakes audits or architecture reviews, a human pentester remains necessary.

Frequently Asked Questions

Does the scanner test for SQL injection or command injection against AI endpoints?
No. The scanner does not perform active SQL injection or command injection, as those tests require intrusive payloads outside its scope.
Can it validate whether an AI feature endpoint properly hides system prompts?
Yes, the LLM / AI Security category includes probes designed to detect system prompt extraction and instruction override attempts.
Is business logic vulnerability testing included for AI workflows?
No. Business logic vulnerabilities require domain understanding and are not detected. Complementary manual review or specialized testing is recommended.
Does scanning require code access or SDK integration?
No. The scanner is black-box and works without agents, code access, or SDK integration across any language or framework.
How are findings mapped to compliance frameworks?
Findings map directly to OWASP API Top 10 (2023), PCI-DSS 4.0, and SOC 2 Type II. Other regulations are supported only through alignment framing, not certification or guarantees.