AppSec headcount-gap coverage

AppSec teams often face more APIs than staff. Manual reviews and code-based tools do not scale when services multiply across teams and clouds. The headcount gap is the mismatch between API inventory size and the people required to secure them.

Skipping structured discovery and risk prioritization leads to unmeasured exposure. Teams may focus on low-severity findings while missing authentication bypass or data exposure on less critical endpoints. Without automated triage, remediation queues grow and real risk persists unnoticed.

middleBrick is a scanner designed for this reality. You submit a URL and receive a risk score with prioritized findings. The approach is read-only and black-box, requiring no agents, SDKs, or code access.

Common gaps include inconsistent inventory, unknown sensitive endpoints, and over-reliance on network perimeter controls. Teams may assume authentication is sufficient while JWT misconfigurations or broken access control remain undetected.

• No baseline of API surface across microservices and third-party integrations.
• Missing detection of IDOR, privilege escalation, and sensitive data exposure in error messages.
• Inadequate validation of rate limiting, CORS, and HTTP method usage.
• Unchecked LLM-specific attack surfaces such as prompt injection and token smuggling.

These gaps persist when security practices rely on manual checks or informal scripts. The result is increased likelihood of exploitation and difficulty mapping findings to compliance evidence.

Adopt a workflow that emphasizes repeatability and evidence. Begin with broad discovery using read-only probes to map authentication schemes, parameter handling, and response behavior.

1. Run an initial scan to establish a baseline risk score and finding list.
2. Use authenticated scanning for deeper coverage when credentials are available. Domain verification ensures only the domain owner can submit credentials.
3. Schedule recurring scans to track score trends and detect regressions.
4. Integrate into CI/CD with automated gates that block merges when thresholds are exceeded.
5. Review prioritized findings with developers and track remediation through the provided guidance.

middleBrick supports this workflow through scheduled rescans, diff detection between scans, and alerting that avoids noise while surfacing meaningful changes.

middleBrick maps findings to three frameworks commonly referenced in audit and assessment contexts. These mappings provide consistent evidence for review and discussion.

• PCI-DSS 4.0 coverage includes checks for authentication, secure transmission, and access control relevant to payment flows.
• SOC 2 Type II alignment focuses on logical access controls, monitoring, and evidence around configuration and identity verification.
• OWASP API Top 10 (2023) alignment covers the full catalog of API-specific risks, including injection attempts, SSRF indicators, and unsafe consumption patterns.

For other frameworks, the scanner supports audit evidence collection and aligns with security controls described in relevant standards. It does not claim certification or compliance guarantees.

Scans use read-only methods (GET and HEAD) plus text-only POST for LLM probes. Destructive payloads are never sent. Private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers.

Authenticated scanning supports Bearer tokens, API keys, Basic auth, and cookies. Only a defined set of headers is forwarded, and domain verification is required to prevent abuse.

Customer data is deletable on demand and purged within 30 days of cancellation. Scan data is never sold or used for model training. The tool provides detection and reporting, not automatic remediation.