How VeriQon Works
VeriQon combines multiple advanced signals to distinguish human-created content from AI-generated material:
- Statistical Patterns — Perplexity, burstiness, token distribution anomalies
- Linguistic Fingerprints — Repetition, uniformity, unnatural phrasing, lack of personal voice
- Contextual Understanding — Coherence across paragraphs, logical flow, factual consistency
- Multi-Modal Detection — Text + image forensics + video frame analysis
- Ensemble Approach — Multiple specialized models vote together for higher accuracy
Zero content retention — your uploads are processed ephemerally and never stored.
Who Uses VeriQon?
Educators & Academic Institutions
Uphold academic integrity, curb AI cheating & essay mills, foster authentic learning.
Publishers, Editors & Content Platforms
Safeguard originality, spot AI content farms, uphold editorial quality.
Recruiters, HR & Talent Teams
Authenticate CVs, cover letters & LinkedIn profiles — minimize credential fraud.
Law Firms
Forensic analysis of documents, affidavits & evidence to detect AI manipulation and bolster litigation.
Investigators & Forensic Teams
Verify exhibits, statements & digital materials — identify AI fabrications for reliable evidence.
Privacy-First Architecture
- ✓ Option for fully local / on-premise deployment — zero data leaves your infrastructure
- ✓ Ephemeral processing — content deleted immediately after analysis
- ✓ No logging of content, no training on user data
- ✓ Designed for GDPR, CCPA, HIPAA, EU AI Act compliance
VeriQon
Detect AI-generated content
27+
detections this month
Analyzing...
5–25 sec