Alternatives to Akto in Education
What middleBrick covers
- Black-box API scanning with a risk score in under a minute
- Detection aligned to OWASP API Top 10, SOC 2 Type II, and PCI-DSS 4.0
- OpenAPI 3.0/3.1 and Swagger 2.0 parsing with recursive $ref resolution
- Authenticated scanning with strict header allowlists and domain verification
- LLM security testing with 18 adversarial probes across scan tiers
- Continuous monitoring with diff detection and HMAC-SHA256 webhooks
Black-box scanning for education environments
middleBrick is a self-service API security scanner designed for environments where source code or infrastructure access is limited. Submit a URL and receive a risk score from A to F with prioritized findings within under a minute. The scanner uses read-only methods, including GET and HEAD, plus text-only POST for LLM probes, and does not require agents, SDKs, or code access.
Detection aligned to major frameworks
The scanner maps findings to OWASP API Top 10 (2023), supports audit evidence for SOC 2 Type II, and maps findings to PCI-DSS 4.0. It detects issues across 12 categories including authentication bypass, JWT misconfigurations such as alg=none and expired tokens, BOLA and IDOR via sequential ID enumeration, BFLA and privilege escalation through admin endpoint probing, and input validation checks like CORS wildcard usage and dangerous HTTP methods. It also identifies data exposure patterns such as emails, Luhn-validated card numbers, context-aware SSNs, and API key formats for AWS, Stripe, GitHub, and Slack, alongside error and stack-trace leakage.
OpenAPI analysis and authenticated scanning
middleBrick parses OpenAPI 3.0, 3.1, and Swagger 2.0 with recursive $ref resolution and cross-references spec definitions against runtime findings. This helps identify undefined security schemes, sensitive fields, deprecated operations, and missing pagination. For authenticated scans, supported methods include Bearer, API key, Basic auth, and Cookie. Domain verification is enforced through DNS TXT records or an HTTP well-known file so that only the domain owner can scan with credentials, and a strict header allowlist is applied, permitting only Authorization, X-API-Key, Cookie, and X-Custom-* headers.
Continuous monitoring and integrations
Pro tier features include scheduled rescans every 6 hours, daily, weekly, or monthly, with diff detection across scans to surface new findings, resolved findings, and score drift. Alerts are delivered via email at a rate-limited frequency of 1 per hour per API, and HMAC-SHA256 signed webhooks auto-disable after 5 consecutive failures. The tool integrates via a Web Dashboard for report review and trend tracking, a CLI with JSON or text output, a GitHub Action for CI/CD gating that fails builds below a score threshold, an MCP Server for AI coding assistants, and a programmable API for custom integrations.
LLM security and safety posture
The scanner includes LLM / AI Security testing with 18 adversarial probes across Quick, Standard, and Deep tiers, covering system prompt extraction, instruction override, 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. The scanner maintains a strict safety posture by using read-only methods only, blocking private IPs, localhost, and cloud metadata endpoints at multiple layers, and allowing customer data deletion on demand within 30 days of cancellation. It does not store data for model training.
Limitations and complementary testing
middleBrick does not fix, patch, block, or remediate findings; it provides detection and guidance. It does not perform active SQL injection or command injection testing, which requires intrusive payloads outside its scope. It does not detect business logic vulnerabilities, blind SSRF relying on out-of-band infrastructure, or replace a human pentester for high-stakes audits. These gaps highlight the need for layered testing strategies in education environments.