SurfaceGuard operates strictly as an outside-in, non-intrusive External Attack Surface Management (EASM) platform. We execute deterministic, evidence-based network polling—validating DNS records, executing TLS handshakes, and inspecting HTTP headers—without ever deploying destructive payloads or executing heuristic guessing algorithms against your infrastructure.
All external attack surface maps and historical scan outputs are exclusively your property. Scan data is encrypted in transit and at rest using industry-standard cryptographic protocols. At the application layer, absolute tenant isolation is strictly enforced via Row Level Security (RLS) policies, guaranteeing that only you can access your infrastructure telemetry.
Access to your generated infrastructure maps is safeguarded by strict, enterprise-grade authentication requirements. We utilize modern JSON Web Tokens (JWT) for secure, session-based access control to the platform. This guarantees that only authorized operators can query sensitive network exposures and architectural history.
The SurfaceGuard environment is actively fortified through continuous operational logging and strict rate-limiting to ensure platform reliability. We implement automated abuse prevention mechanisms at the edge, guaranteeing that our remote scanners interact with your public-facing assets responsibly and safely at all times.
We heavily support the global security research community and provide explicit, conditional safe harbor for good-faith vulnerability reporting against the SurfaceGuard platform. All coordinated disclosures are handled confidentially and securely, without the threat of legal action, provided researchers refrain from destructive testing or accessing tenant data.
In an industry saturated with AI-generated false positives, SurfaceGuard stands apart through uncompromising factual transparency. We do not utilize AI hallucinations to guess vulnerabilities. Every single exposure reported by our platform—from dangling CNAME records to misconfigured CORS headers—is backed by immediately reproducible, concrete network evidence.
