Public exposure analysis without invasive access
HumanSurface helps organizations understand which externally visible information can increase phishing, impersonation, and social engineering risk. The assessment starts from public sources and turns them into practical remediation priorities.
We review public and externally visible signals, then connect them to realistic abuse scenarios. The objective is to reduce operational risk before exposure is exploited.
Public data and OSINT signals
We analyze public web pages, indexed documents, visible contact paths, role context, technology signals, and relevant open-source exposure indicators.
Business-context interpretation
We evaluate how public details about people, processes, suppliers, communications, and roles could make a fraudulent request feel credible.
Reviewed report and priorities
Findings are reviewed and organized into scores, likely scenarios, operational priorities, and immediate remediation actions.
The methodology is designed to be useful before any deeper technical activity is required.
No invasive scanning without authorization
The preliminary assessment does not perform intrusive tests or unauthorized probing.
No internal system access required
No credentials, agents, inbox access, VPN access, or internal system access are needed to confirm fit and prepare scope.
No sensitive data published
Reports are scoped for the customer. Demo materials use synthetic data and do not expose real sensitive information.
No guaranteed dark web coverage claim
Leak-related signals are treated as indicators to verify, not as a promise of complete dark web visibility or guaranteed results.
How we treat dark web signals
Leak and dark web indicators are handled as signals to interpret, not as guaranteed proof. We work with available sources, classify confidence, and turn relevant indicators into operational priorities.
Reducing AI-assisted impersonation and social engineering risk
With generative AI, seemingly harmless public information can be transformed into credible messages, targeted phishing, or impersonation attempts against key company figures. HumanSurface helps clarify which information is visible from the outside and which signals can increase operational risk.
Start with scope, then assess
HumanSurface is built to reduce risk before it is exploited. The output is meant to help teams decide what to keep public, what to reduce, and what needs verification controls.
The call confirms the domain, business context, fit, and expected deliverable before assessment activation.