APIsec vs Escape
What middleBrick covers
- Black-box scanning with no agents or code access
- Under-one-minute scan time per API
- 12 OWASP API Top 10 categories plus LLM probes
- OpenAPI 3.x and Swagger 2.0 spec analysis
- Authenticated scanning with header allowlists
- CI/CD and AI assistant integrations
Target audience and deployment model
middleBrick is a self-service black-box scanner that requires no agents, SDKs, or code access. Submit a URL, receive a risk score and prioritized findings in under a minute. Escape focuses on agent-based or instrumentation-heavy testing that often requires access to source, a runtime agent, or specific platform integrations. For teams that cannot modify environments or ship additional code, the no-agent approach reduces coordination overhead and works with any language or framework.
Feature scope and detection coverage
middleBrick covers 12 OWASP API Top 2023 categories, including authentication bypass, JWT misconfigurations, BOLA, BFLA, sensitive data exposure, SSRF indicators, and LLM security probes across multiple scan tiers. It parses OpenAPI 3.0, 3.1, and Swagger 2.0 with recursive $ref resolution and compares spec definitions against runtime behavior. Escape provides broad vulnerability classes but often emphasizes specific stacks or frameworks; it may include business logic checks that depend on user-provided test cases. middleBrick explicitly lists what it does not do, such as active injection testing or automated remediation, which helps set clear expectations for security teams.
Compliance mapping and positioning
middleBrick maps findings directly to PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 2023. For other frameworks, it supports audit evidence collection or aligns with security controls described in HIPAA, GDPR, ISO 27001, NIST, CCPA, and similar regimes without asserting certification or compliance. Escape may frame coverage in terms of regulatory checklists, but positioning varies by vendor claims. The emphasis on explicit mapping without overpromising helps auditors trace scanner outputs to specific requirement sets while avoiding unverified guarantees.
Integration, automation, and developer experience
middleBrick provides a CLI (middlebrick scan <url>) with JSON or text output, a GitHub Action that can gate CI/CD builds, an MCP server for AI coding assistants, and a programmable API for custom workflows. Scans support authenticated methods via Bearer tokens, API keys, Basic auth, and cookies, protected by domain verification gates and restricted header forwarding. Escape typically offers CI plugins and dashboards, but integration formats and authentication flexibility differ. Teams that need automated gates in pull requests or AI-assisted security feedback may prefer toolchains with native GitHub or editor integrations.
Pricing model and operational overhead
middleBrick offers a free tier with 3 scans per month, a mid-tier at $99/month for 15 APIs with dashboard and email alerts, a Pro tier at $499/month for 100 APIs with continuous monitoring and compliance reports, and an Enterprise tier for unlimited APIs with custom rules and SLA. Pricing scales predictably with API count and monitoring frequency. Escape pricing structures vary, often bundling features differently or emphasizing per-test or per-seat models. Operational overhead is lower for black-box scanning since there are no agents to maintain, and scan data is deletable on demand with defined retention timelines.
Decision criteria for selection
Choose middleBrick when you need a low-friction, agentless scanner that integrates into existing CI/CD and AI workflows, provides clear OWASP mapping, and avoids intrusive testing. Choose Escape when your workflow depends on deep instrumentation, framework-specific analysis, or business logic scenarios that require runtime context only your environment can provide. Evaluation steps should include a trial scan on representative APIs, review of compliance mappings relevant to your audits, and verification that automation and alerting fit existing tooling. Consider team capacity for interpreting findings, the need for continuous monitoring, and whether agent-based or black-box testing aligns with your deployment constraints.