Quantify your exposure to AI-generated entities.
Synthetic entities exploit the trust assumptions embedded in your compliance frameworks. Your KYB checks verify registration—not reality. Your risk models assume entities are genuine. In the synthetic era, that assumption is a vulnerability.
The Regulatory Blind Spot.
Synthetic Exploitation
Financial Services
KYB and AML frameworks verify that an entity is registered and not sanctioned. They do not verify that the entity's executives, credentials, or operational history are genuine. Synthetic entities are specifically designed to pass these checks. A fabricated fintech with manufactured compliance documentation can enter your portfolio undetected.
Healthcare
HIPAA requires due diligence on business associates, but the standard stops at verifying BAAs and certifications. Synthetic vendors with fabricated SOC 2 reports and manufactured HITRUST certifications exploit this gap. When patient data reaches a shell entity, the breach liability falls on your organization.
Insurance
Underwriting models price risk based on entity characteristics that can now be fabricated. Synthetic companies with manufactured loss histories, fake executive track records, and AI-generated financial statements are entering the applicant pool. Traditional actuarial models have no signal for entity authenticity—creating a systematic underpricing of risk for synthetic applicants. The blind spot compounds across portfolios.
What You Get
Quantified exposure metrics with compliance-ready documentation, powered by a 40-step verification pipeline.
Synthetic Probability Scores
Every entity in scope receives a 0–1 synthetic probability score derived from 40 verification steps. Scores above 0.50 trigger detailed investigation. Scores above 0.75 indicate high-confidence synthetic detection. Each score includes confidence intervals and temporal trend data.
Signal Decomposition
Full transparency into which signals contributed to each score. 5-dimension trust scoring covers entity verification, compliance posture, behavioral analysis, counterparty relationships, and ethics assessment. Weighted aggregate with ethics multiplier ensures governance alignment.
Compliance Documentation
Audit-ready documentation mapping detection findings to your regulatory framework. Includes methodology citations (18 DOIs), evidence chains, and recommended risk adjustments. Designed for submission to regulators, auditors, and board risk committees.
Multi-Signal Detection Capabilities
Domain Provenance Analysis
Registration age, registrar patterns, DNS configuration anomalies, hosting infrastructure correlation
Executive Identity Verification
Cross-platform consistency, employment history validation, credential verification, publication authenticity
Content Generation Detection
LLM fingerprinting, linguistic uniformity scoring, image artifact analysis, temporal creation patterns
Network Isolation Scoring
Endorsement network depth, customer verification, partnership validation, ecosystem connectivity
Temporal Clustering Analysis
Entity creation timing, coordinated registration patterns, burst activity detection, lifecycle anomalies
Behavioral Drift Monitoring
Continuous trust signal tracking, degradation alerts, real-time risk score updates, compliance threshold triggers
+ 7 additional signal dimensions documented in the 40-point verification framework
Frequently Asked Questions
How does the 5-dimension trust score map to our existing risk models?
The 5-dimension trust score produces a weighted aggregate that maps directly to standard risk classification tiers. Scores above 0.75 map to "allow" (low risk), 0.60–0.75 to "require approval" (elevated risk), behavioral dimension below 0.50 triggers "require review," and aggregate scores below 0.60 or hard-fail conditions map to "refuse" (unacceptable risk). We provide a mapping document that translates our scoring to your organization's specific risk appetite framework, including integration guidance for GRC platforms.
What does continuous monitoring include at $750/mo?
Continuous monitoring re-evaluates entity trust signals on a scheduled basis and triggers alerts when scores degrade below configured thresholds. You receive real-time notifications when a monitored entity shows new synthetic indicators—domain changes, executive profile modifications, content generation spikes, or network isolation increases. Monthly compliance reports document all score changes with audit trails. The tier includes monitoring for up to 50 entities with customizable alert thresholds.
Is this methodology defensible to regulators?
Yes. The methodology is documented across 20 peer-reviewed publications with permanent DOIs on Zenodo. The 40-step verification pipeline produces evidence chains for every finding. The scoring model's weights, thresholds, and decision logic are fully transparent and reproducible. We have designed the documentation specifically for regulatory submission—including OCC, FINRA, CMS, and state insurance commissioner frameworks. Every assessment includes a methodology appendix citing the relevant publications.
Measure What Your Risk Models Miss.
Your compliance framework assumes entities are genuine. AI makes that assumption a quantifiable risk. Get a baseline assessment of your exposure before the next audit cycle.