Alternatives to Astra at Series A startups

Automated API security scanning provides continuous visibility into public-facing interfaces without requiring access to source code or runtime environments. The approach is black-box, issuing read-only requests to surface misconfigurations and deviations from expected behavior. Findings are organized into distinct categories aligned to the OWASP API Top 10, enabling teams to triage risk and track improvements over time.

The scanner maps findings to three frameworks: PCI-DSS 4.0, SOC 2 Type II, and OWASP API Top 10 (2023). Detection categories include authentication bypass, broken object level authorization, broken function level authorization, property authorization issues, input validation weaknesses, rate limiting and resource consumption, data exposure, encryption and transport security, server-side request forgery, inventory management, unsafe consumption patterns, and LLM/AI security. Within LLM testing, the system runs 18 adversarial probe types across three scan tiers to assess prompt injection, data exfiltration, and jailbreak scenarios.

OpenAPI specifications are parsed and cross-referenced with runtime behavior to identify undefined security schemes, deprecated operations, and sensitive field exposure. For every other regulation or framework, the tool helps you prepare for audits by aligning with security controls described in relevant standards and supports audit evidence for your assessments.

Scans complete in under a minute using read-only methods and text-only POST probes. The tool validates domain ownership through DNS TXT records or HTTP well-known files before accepting authenticated credentials. Only a limited set of headers, including Authorization, X-API-Key, Cookie, and X-Custom-* headers, are forwarded to the target. This design ensures broad compatibility across languages, frameworks, and cloud providers while minimizing potential disruption.

Authenticated scanning requires explicit domain verification, ensuring that only authorized parties assess environments protected by credentials. Continuous monitoring options allow scheduled rescans and diff detection between runs, highlighting new findings, resolved items, and score drift.

The Web Dashboard centralizes scan management, report viewing, score trend analysis, and branded compliance PDF downloads. The CLI supports on-demand scans with JSON or text output, suitable for local or scripted use. A GitHub Action enforces CI/CD gates by failing builds when scores drop below defined thresholds. An MCP Server enables scanning from AI coding assistants, and a programmable API supports custom integrations. For ongoing programs, Pro tier includes scheduled rescans, email alerts, Slack and Teams notifications, compliance reports, and signed webhooks with failure handling.

The tool 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 testing, as those require intrusive payloads outside the defined scope. Business logic vulnerabilities cannot be detected automatically and require domain expertise. Blind SSRF and other out-of-band infrastructure issues are not in scope, and the scanner does not replace a human pentester for high-stakes audits.

Customer data is deletable on demand and purged within 30 days of cancellation. Scan data is never sold and is not used for model training. Organizations should treat automated scanning as one layer in a broader security strategy, combining tooling with manual review and architectural review.