Scores each resume section for likelihood of AI generation using stylometric analysis, perplexity scoring, and pattern matching against known LLM outputs. Returns a 0-100 authenticity score per section and overall.

Aggregated recruiter dashboard showing authenticity scores, flagged applications, and trend analytics across all open roles. Enables sorting and filtering candidates by authenticity confidence level.

Webhook-based integration that automatically ingests parsed resumes from top ATS platforms and pushes authenticity scores back as candidate tags or scorecard fields.

Cross-references employment dates, company names, and credentials against public LinkedIn data, company registries, and education verification APIs to flag inconsistencies.

REST API and CSV upload for staffing agencies and high-volume recruiters to score hundreds of applications programmatically.

Configurable sensitivity settings that account for ESL candidates and accessibility tool usage, with bias audit reports to ensure compliance with NYC LL144 and EU AI Act.

Generates targeted interview questions based on flagged resume sections to help recruiters probe suspicious claims during live conversations.

Identifies when the same candidate submits multiple applications with varied resumes across different roles or time periods, flagging identity recycling patterns.

Exportable audit trails showing scoring methodology and decisions for regulatory compliance documentation and internal hiring audits.