The Anti-Fraud Specifications provide a collection of open-source frameworks designed to improve trust, accountability, and transparency across digital systems, financial networks, public institutions, healthcare programs, property markets, and consumer services. These specifications focus on preventing fraud before it occurs by combining verification systems, artificial intelligence, data analysis, cryptographic integrity, and evidence-based reporting. They are designed to identify suspicious patterns, reduce manipulation, and create stronger systems of accountability without relying solely on centralized authorities.
A major focus of these specifications is identity and authenticity verification. They provide methods for confirming that digital identities represent real individuals, detecting duplicate or synthetic identities, preventing coordinated fraud networks, and protecting sensitive verification processes through privacy-preserving technologies. Additional frameworks improve document authenticity, record verification, and data provenance by creating tamper-resistant audit trails that allow information to be validated and traced back to reliable sources.
The specifications also address financial and organizational transparency by analyzing transactions, ownership structures, public spending, corporate relationships, and licensing activity. Through anomaly detection, relationship mapping, and automated compliance monitoring, these systems help uncover hidden risks such as fraudulent claims, unauthorized usage, shell structures, financial irregularities, and conflicts of interest. They are designed to provide organizations and communities with tools to investigate issues using verifiable evidence rather than speculation.
Consumer protection and public accountability are additional areas supported by these frameworks. They enable anonymous reporting, structured complaint collection, pattern recognition, and transparency dashboards that help identify deceptive practices, misleading information, and recurring misconduct. By transforming individual reports into organized intelligence, these systems allow communities to recognize broader trends and improve decision-making.
Across industries such as healthcare, transportation, real estate, digital finance, and government services, the Anti-Fraud Specifications create a foundation for more trustworthy systems. Their combined capabilities emphasize prevention, detection, verification, and accountability, helping organizations reduce fraud risks while increasing confidence in the information, transactions, and decisions that shape everyday life.
All specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used free of charge with the required attribution under Section 7 of the license. Organizations that require attribution-free commercial deployment may obtain a Specification Branding License (SBL). Licensing fees are determined based on the specific specification, deployment scope, and the scale of the network or environment in which it is deployed.
The Open Arsenal specifications are designed as foundations, not disposable products. They define reusable architectures that can be implemented, extended, combined, modified, and adapted to changing technologies and real-world requirements. Modular design allows individual capabilities to evolve without forcing an entire system to be replaced, while vendor-neutral architecture helps preserve independence and interoperability.
Long-term infrastructure requires long-term thinking. Open-source licensing encourages examination, reuse, modification, and collaboration, while perpetual commercial licensing can provide organizations with lasting rights to deploy a specification without making foundational infrastructure dependent on recurring licensing renewals. The objective is to create technological foundations that can remain useful as companies, technologies, platforms, and business models change.
ActionCheck
https://roxanneardary.com/actioncheck/
An open-source civic accountability platform designed to detect inconsistencies between public promises, actions, financial disclosures, voting records, and potential conflicts of interest. It provides transparency tools, evidence tracking, and analysis systems that help identify misleading claims, undisclosed relationships, and accountability failures.
BalanceSeal
https://roxanneardary.com/balanceseal/
A cryptographic audit and termination snapshot system designed for cryptocurrency exchanges and wallets. It creates verifiable final-state balance reports with time-frozen valuations and tamper-evident integrity checks to reduce financial fraud, manipulation, and hidden asset discrepancies.
CommonsTruth
https://roxanneardary.com/commonstruth/
An anonymous reporting platform for documenting and exposing deceptive advertising and consumer fraud. It provides structured evidence collection, pattern detection, and public transparency dashboards to identify misleading practices and recurring fraud patterns.
ConstitutionTrace
https://roxanneardary.com/constitutiontrace/
An open-source civic transparency specification that uses verified court records, citizen testimony, and AI-assisted analysis to structure, trace, and analyze potential constitutional and judicial irregularities across the U.S. court system.
FiscalTruth
https://roxanneardary.com/fiscaltruth/
An open-source civic watchdog platform focused on public spending transparency, financial anomaly detection, and whistleblower reporting. It provides tools for identifying waste, fraud, abuse, questionable transactions, and misuse of public resources.
Financial Transparency
https://roxanneardary.com/financial-transparency/
A financial disclosure analysis framework that tracks assets, stock transactions, real estate interests, lobbying-linked investments, and changes in reported wealth. It helps identify unusual financial patterns, potential conflicts of interest, and suspicious relationships through evidence-based analysis.
Integrity and Deviation Detection
https://roxanneardary.com/integrity-and-deviation-detection/
A framework for identifying unusual decision patterns, contradictions, policy reversals, affiliated-interest relationships, and other accountability signals. It uses structured evidence collection, relationship mapping, audit trails, and explainable detection methods to highlight potential integrity risks.
IntegrityLayer
https://roxanneardary.com/integritylayer/
An open-source identity integrity infrastructure that verifies real, unique humans through privacy-preserving KYC, liveness detection, and fraud network prevention. It targets identity duplication, synthetic identities, coordinated fraud networks, and abuse of digital systems.
MedIQ
https://roxanneardary.com/mediq/
An AI platform for Medicaid-to-Medicare transitions that includes fraud, waste, and abuse detection capabilities. It uses machine learning anomaly detection, audit reporting, and prevention simulations to identify suspicious activity and improve healthcare program integrity.
OpenGrievance
https://roxanneardary.com/opengrievance/
A privacy-first consumer complaint and accountability platform designed to identify patterns of corporate misconduct, fraud, deceptive practices, and false advertising. It enables structured reporting, evidence organization, and analysis of recurring consumer harm.
OpenProperty
https://roxanneardary.com/openproperty/
A real estate transparency platform with fraud prevention tools, disclosure verification, and scam avoidance features. It improves property transaction trust through verifiable information, ownership transparency, and risk detection.
ProofShield
https://roxanneardary.com/proofshield/
An open-source document authenticity and fraud prevention system designed to protect digital and physical documents through certified mirror images, AI manipulation detection, privacy-preserving verification, and hardware-backed security mechanisms.
PublicLaunch
https://roxanneardary.com/publiclaunch/
An AI-powered market intelligence platform that analyzes market behavior, manipulation risks, public hype cycles, and financial signals. It is designed to identify abnormal patterns and provide transparency into potentially misleading market activity.
RegistryGuide
https://roxanneardary.com/registryguide/
A vehicle registration and title transparency platform using AI for fraud detection, compliance monitoring, and verification. It supports fraud prevention through improved record accuracy, ownership validation, and optional blockchain-based auditability.
ShellScan
https://roxanneardary.com/shellscan/
An AI-driven corporate intelligence platform that maps ownership structures, shell companies, and business networks. It detects hidden relationships, opaque corporate structures, and potential fraud risks through entity analysis and relationship mapping.
TruthInBilling
https://roxanneardary.com/truthinbilling/
An open-source, privacy-preserving billing transparency platform that verifies and analyzes real-world invoices to detect systemic discrepancies between advertised pricing and actual charges.
ValueGrid
https://roxanneardary.com/valuegrid/
A property intelligence platform with fraud detection systems for identifying suspicious transactions, ownership inconsistencies, and abnormal property activity. It includes a verifiable National Property Ledger designed to improve real estate transparency and reduce fraud.
Veridion System
https://roxanneardary.com/veridion-system/
A trusted signal intelligence framework that validates fragmented data through provenance tracking, entity resolution, contradiction testing, confidence scoring, and adversarial analysis. It helps detect manipulated, corrupted, or unreliable information before it influences decisions.
VerifyRights
https://roxanneardary.com/verifyrights/
An AI-driven license verification and compliance intelligence specification that monitors commercial license usage, authorized deployments, corporate relationships, and contractual boundaries. It helps detect unauthorized use, licensing violations, and revenue leakage through evidence-based compliance monitoring.
VINGuard
https://roxanneardary.com/vinguard/
A VIN-based vehicle transparency platform with AI-driven fraud detection. It identifies title issues, odometer fraud, hidden damage, ownership inconsistencies, and other vehicle history risks to improve automotive transaction trust.
Voting Record Analysis
https://roxanneardary.com/voting-record-analysis/
A transparency framework that analyzes legislative activity through verified public records. It supports fraud-resistant civic reporting by separating documented facts from interpretations and providing source-backed evidence for accountability analysis.
A Specification Branding License can be purchased for the basket of Anti-Fraud Specs
Purchasing a Specification Basket grants the purchaser a perpetual license for attribution-free use of every existing specification included within that category, as well as any additional specifications subsequently added to the category.
Robotics Specification Basket Pricing:
| Network Size | # of Users | One-Time Price | Duration |
| Small | 1 – 20 | $300,000 | Perpetual License |
| Medium | 21- 1000 | $5,000,000 | Perpetual License |
| Large | 1001 + | Custom Quote | Custom Quote |
