Alternatives to APIsec for AI / ML engineers

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What middleBrick covers

  • Black-box scanning without agents or code access
  • Under-one-minute scan time per API
  • LLM adversarial probes across three depth tiers
  • OpenAPI 3.x and Swagger 2.0 parsing with $ref resolution
  • Authenticated scans with header allowlist controls
  • Continuous monitoring and diff reporting options

Black-box scanning for AI and ML workflows

For AI and ML engineers, API behavior matters more than implementation details. The scanner performs a black-box assessment using only HTTP interactions, which fits naturally into data pipelines and model evaluation suites. It supports read-only methods and text-only POST for LLM probes, completing in under a minute per endpoint. Because no agents or SDKs are required, it can be run against any runtime stack without modifying application code.

Mapping findings to compliance frameworks relevant to AI systems

middleBrick maps findings to OWASP API Top 10 (2023), covering common risks in model-serving endpoints such as injection prompts, data exfiltration probes, and unsafe token handling. Findings also align with PCI-DSS 4.0 requirements for secure authentication and session management, and with SOC 2 Type II controls related to monitoring and logical access. These mappings help you prepare audit evidence for review by security and AI governance stakeholders.

Authenticated scanning for protected model APIs

When endpoints require authentication, the Starter tier and above support Bearer tokens, API keys, Basic auth, and cookies. Access is gated by domain verification, ensuring only the domain owner can submit credentials. The scanner forwards a strict allowlist of headers, which is useful when testing model APIs that expose sensitive operations through controlled interfaces.

LLM and AI Security coverage

The scanner includes 18 adversarial probes across three scan tiers focused on LLM interactions. These probes test for system prompt extraction, instruction override attempts, DAN and roleplay jailbreaks, data exfiltration, cost exploitation, encoding bypasses, translation-embedded injection, few-shot poisoning, markdown injection, multi-turn manipulation, indirect prompt injection, token smuggling, tool abuse, nested instruction injection, and PII extraction. Each probe is designed to evaluate model resilience without sending destructive payloads.

OpenAPI spec validation and integration options

middleBrick parses OpenAPI 3.0, 3.1, and Swagger 2.0 documents, resolving recursive $ref entries and cross-referencing definitions against runtime behavior. This helps identify undefined security schemes, sensitive fields, deprecated operations, and missing pagination. For custom workflows, you can use the API client or the MCP Server to integrate scanning into CI/CD or interactive development environments, and the CLI supports JSON and text output for scripted analysis.

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Frequently Asked Questions

Does the scanner test for SQL injection or command injection?
No. It does not perform active SQL injection or command injection tests, as those require intrusive payloads outside its scope.
Can it detect business logic vulnerabilities in AI workflows?
No. Business logic vulnerabilities require human expertise tied to your domain. The scanner detects patterns and deviations, not contextual logic flaws.
Is compliance with GDPR or HIPAA claimed?
Compliance with specific regulations is not claimed. The tool helps you align with security controls described in frameworks such as SOC 2 Type II and supports audit evidence collection.
What happens to scan data after cancellation?
Customer data is deletable on demand and purged within 30 days of cancellation. It is not sold and is not used for model training.

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