Akto as a API pentesting tool

API pentesting and automated scanning address overlapping concerns but differ in scope, methodology, and depth. A pentest typically involves human-led exploration, custom exploit development, and business logic analysis tailored to your domain. In contrast, an automated scanner emphasizes repeatable coverage of known classes of issues at scale.

middleBrick operates as a scanner: it executes read-only checks, surfaces findings aligned to recognized catalogs, and supplies remediation guidance rather than active exploitation. For high-stakes audits or complex business logic review, supplement automated results with targeted manual testing.

middleBrick maps findings to three major frameworks: PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). Detection coverage includes authentication bypasses, JWT misconfigurations such as alg=none or missing claims, BOLA and IDOR via sequential ID probing, BFLA and privilege escalation indicators, and data exposure patterns including PII and API key formats.

The scanner also identifies input validation issues like CORS wildcard usage, dangerous HTTP methods, and debug endpoints; rate limiting and resource consumption signals; server-side request forgery indicators; inventory and versioning gaps; unsafe consumption surfaces; and LLM/AI security probes across multiple tiers. OpenAPI 3.0, 3.1, and Swagger 2.0 specifications are parsed with recursive reference resolution to compare spec intent against runtime behavior.

Scan duration is under a minute, using read-only methods such as GET and HEAD, with text-only POST for LLM probes. Destructive payloads are not transmitted, and private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers.

Authenticated scanning requires domain verification via DNS TXT or HTTP well-known file, with only specific headers forwarded. Customer data can be deleted on demand and is purged within 30 days of cancellation. The tool does not perform active SQL injection or command injection testing, does not detect blind SSRF requiring out-of-band infrastructure, and does not replace a human pentester for high-stakes engagements.

Deployment options include a web dashboard for scan management and trend tracking, a CLI via an npm package for local execution, a GitHub Action for CI/CD gating, an MCP server for AI coding assistants, and a programmable API for custom workflows. Each integration exposes scan results in structured formats to fit into existing tooling chains.

Continuous monitoring in higher tiers provides scheduled rescans, diff detection across runs, email alerts with rate limiting, and signed webhooks with auto-disable after repeated failures. This supports incremental security improvements without requiring manual oversight for every change.

Automated scanning cannot identify business logic flaws that require domain knowledge, nor does it perform deep exploit chains. It surfaces findings relevant to compliance evidence but does not certify adherence to any regulatory framework.

Organizations should complement scanning with code reviews, manual logic testing, and periodic expert assessments. Remediation guidance is provided, but implementation and validation remain the responsibility of the consumer.