Alternatives to 42Crunch for AI / ML engineers

For AI and ML engineers, API security must cover model endpoints, training pipelines, and inference services without interfering with development workflows. This tool is a black-box scanner that submits read-only requests to surface risks before they reach production.

It does not require agents, SDKs, or code access and supports any language or framework. Scan completion is typically under a minute, using GET and HEAD methods plus text-only POST for LLM probes. The output is a risk score from A to F with prioritized findings and remediation guidance rather than automated fixes.

The scanner evaluates 12 security categories aligned to the OWASP API Top 10 (2023), including authentication bypass, JWT misconfigurations such as alg=none or expired tokens, and sensitive data leakage in claims. It checks security headers, WWW-Authenticate compliance, CORS wildcard usage, dangerous HTTP methods, and debug endpoints.

Additional categories include Broken Object Level Authorization (BOLA/IDOR), Broken Function Level Authorization (BFLA) and privilege escalation, property authorization over-exposure, input validation issues, rate limiting and resource consumption, data exposure including PII patterns and API key formats, encryption misconfigurations, SSRF indicators, and inventory management gaps like missing versioning. For AI workloads, it runs 18 adversarial probes across Quick, Standard, and Deep tiers, targeting system prompt extraction, instruction override, jailbreaks, data exfiltration, and token smuggling.

OpenAPI 3.0, 3.1, and Swagger 2.0 specifications are parsed with recursive $ref resolution, and findings are cross-referenced against the spec to identify undefined security schemes, deprecated operations, and missing pagination. These capabilities help you prepare for compliance with security frameworks such as PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10, and they support audit evidence for relevant controls.

Authenticated scanning is available from the Starter tier onward, supporting Bearer tokens, API keys, Basic auth, and cookies. Domain verification is required, using a DNS TXT record or an HTTP well-known file to ensure only the domain owner can submit credentials. The scanner forwards a restricted set of headers, including Authorization, X-API-Key, Cookie, and X-Custom-* headers.

The scanner follows a read-only safety posture. Destructive payloads are never sent, and private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers. Customer scan data is deletable on demand and purged within 30 days of cancellation. It is not used for model training and is never sold.

The Web Dashboard centralizes scan management, report viewing, score trend tracking, and downloadable branded compliance PDFs. The CLI, distributed as an npm package, supports commands such as middlebrick scan <url> with JSON or text output. A GitHub Action can gate CI/CD, failing builds when the score drops below a defined threshold. An MCP Server enables scanning from AI coding assistants such as Claude and Cursor, and a programmable API supports custom integrations.

Pro tier adds continuous monitoring with scheduled rescans every 6 hours, daily, weekly, or monthly. It provides diff detection across scans, email alerts at a rate-limited frequency of 1 per hour per API, HMAC-SHA256 signed webhooks, and automatic webhook disablement after 5 consecutive failures. Slack and Teams alerts, compliance reports, and signed webhooks are included. Enterprise tiers unlock unlimited APIs, custom rules, SSO, audit logs, SLAs, and dedicated support.

This tool detects and reports but does not fix, patch, block, or remediate issues. It does not perform active SQL injection or command injection testing, which requires intrusive payloads outside its scope. Business logic vulnerabilities are not detected, as they demand domain-specific human analysis. Blind SSRF is out of scope due to the lack of out-of-band infrastructure, and the scanner does not replace a human pentester for high-stakes audits.

Results should be reviewed by security professionals and validated within the context of your architecture. The scanner surfaces findings relevant to broader regulatory alignment, such as data protection and access control, but it is not an auditor and cannot certify compliance with any specific regulation.