Alternatives to APIsec in IoT / OT

Evaluating API risk in IoT and OT environments requires a focus on device communication patterns, constrained protocols, and the operational impact of exposure. This tool provides a black-box security scanner that submits read-only requests to an endpoint and returns a risk score with prioritized findings. It does not require code access, agents, or SDK integration, and it supports any language, framework, or cloud deployment. Scan duration is under one minute, using GET and HEAD methods plus text-only POST for LLM probes. The output is designed to help security teams understand what is observable from outside the network, while clearly stating what remains out of scope.

The scanner maps findings to three frameworks relevant to API security posture: PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). Detection categories include authentication bypass and JWT misconfigurations, broken object level authorization and IDOR, broken function level authorization and privilege escalation, property authorization and over-exposed fields, input validation issues such as CORS wildcard usage and dangerous HTTP methods, rate limiting and resource consumption indicators, data exposure including PII and API key patterns, encryption and transport misconfigurations, SSRF indicators involving URL-accepting parameters, inventory management issues like missing versioning, unsafe consumption surfaces, and LLM / AI security probes across tiered scan depths. For other regulations, the findings can help you prepare for audits and align with security controls described in relevant frameworks, supporting audit evidence without asserting certification or compliance guarantees.

Authenticated scanning is available from Starter tier onward, supporting Bearer tokens, API keys, Basic auth, and cookies. Domain verification is enforced through DNS TXT records or an HTTP well-known file to ensure only the domain owner can submit credentials. Header forwarding is limited to Authorization, X-API-Key, Cookie, and X-Custom-* headers. The scanner uses read-only methods only and never sends destructive payloads. Private IPs, localhost, and cloud metadata endpoints are blocked at multiple layers. This approach is suitable for assessing backend APIs that support constrained IoT devices while minimizing operational risk.

The scanner provides several integration paths for teams managing IoT and OT environments. The CLI accepts a URL and returns JSON or text output, enabling scripted checks. A GitHub Action can gate CI/CD pipelines, failing builds when the score drops below a defined threshold. A web dashboard supports scan management, trend tracking, and downloadable compliance PDFs. Pro tier adds scheduled rescans, diff detection across runs, email alerts at rate-limited intervals, and signed webhooks that auto-disable after repeated failures. An MCP server enables scanning from AI coding assistants, and a programmatic API supports custom integrations. These options allow security controls to fit into existing operational workflows without requiring deep infrastructure changes.

The scanner does not fix, patch, block, or remediate findings; it detects and reports with remediation guidance. It does not perform active SQL injection or command injection, as those require intrusive payloads outside its scope. Business logic vulnerabilities are not detected, since they demand domain context best handled by human analysts. Blind SSRF and out-of-band interactions are out of scope, and the tool does not replace a human pentester for high-stakes audits. For comprehensive IoT and OT assessments, combine these scans with protocol-specific analysis, physical access reviews, and manual validation of device identity and authorization mechanisms.