GACS Whitepaper — Global Anti-Crime Shield

1. Mission

GACS — the Global Anti-Crime Shield — exists to reduce the global harm caused by financial fraud, with a particular focus on crypto-asset scams, pig-butchering operations, romance and impersonation networks, elder fraud, recovery scams, and AI-enabled deception. We combine free public protection tools with an intelligence-grade education academy so victims, investigators, journalists, and ordinary users can defend themselves with the same tradecraft used by professional analysts.

• Core protection tools remain free forever.
• Listings, methodology and appeals are public.
• Education is open: every certification has a free study book before any paid exam.

2. The problem

Reported losses to investment, romance and crypto scams now exceed tens of billions of US dollars per year, and most victims never recover funds. The reporting surface is fragmented across regulators, exchanges, social platforms and local police. Victims rarely know which channel to use, attribution is hard, and warnings about active scams seldom reach the next potential victim in time. AI-generated impersonations, fake exchanges and copycat domains accelerate the cycle.

3. Verification methodology

Every entity in the GACS public registry is verified through a multi-layer evidence model rather than a single signal. Reports are normalised, de-duplicated by deterministic slug, and scored against on-chain heuristics, OSINT cross-checks, URL and script forensics, and prior listings.

• Independent reports: a scam is only auto-published once multiple independent reports converge on the same entity (domain, wallet, handle or company).
• On-chain analysis: wallet, contract and approval review for EVM and Bitcoin chains; flagged mixers and sanctioned addresses surface as risk markers.
• OSINT cross-checks: WHOIS, certificate history, reverse-image and handle reuse across platforms.
• Corrections and appeals: every listing carries a documented appeals path on the editorial policy page.

4. Platform architecture

GACS is structured as four interlocking layers. Each layer is independently useful but compounds in value when combined.

• (a) Free fraud-prevention tools — Wallet Checker, Safe Scanner, Scam Analyzer, Ask Detective, Sandbox, Bookmarklet, Panic Guide.
• (b) Public scam registry — every confirmed entity gets a permanent /scam/<slug> page indexed for search and AI agents.
• (c) Institutional-style intelligence dashboard — macro, bias-watch, anchors, and risk context framed as scenarios and probabilities.
• (d) Intelligence Academy — certifications and computer-science diplomas with verifiable certificates.

5. Public scam registry

The registry is the search-engine surface of GACS. Every blacklisted entity has an auto-generated, stable slug and a structured public page covering the entity, evidence summary, reporting channels by country, related scams, and a community confirmation count. This is what allows a person Googling a suspicious domain or wallet at 11pm to find a warning before they send funds.

• Country directories help victims reach the correct regulator or police channel quickly.
• Category clusters (investment, romance, recovery, impersonation, crypto rug-pull, fake exchange, etc.) make patterns visible.
• Read aggregators are SECURITY DEFINER functions with no PII exposure; writes go through validated server functions.

6. Free protection tools

Every tool is designed to be used without an account, in under a minute, on mobile or desktop. They are the front line of harm reduction.

• Wallet Checker — assess address risk and approval exposure.
• Safe Scanner & Check Domain — analyse a suspicious URL, script, or social handle.
• Scam Analyzer & Ask Detective — paste a message and get a structured red-flag breakdown.
• Bias Watch & Anchors — macro and on-chain context, framed as scenarios.
• Panic Guide — a step-by-step recovery flow for someone who has just been scammed.
• Bookmarklet — one-tap scam check from any web page.

7. Intelligence Academy & diplomas

The Academy turns protection into skill. Each track has a free long-form study book, a free intro course, and an optional certification exam. Completion issues a verifiable certificate at /badge/<id>.

• CFPS — Certified Fraud Prevention Specialist.
• CBI — Certified Blockchain Investigator.
• OIA — OSINT Intelligence Analyst.
• SCS / SCS Advanced — Scam Case Studies.
• MICA — Master Intelligence Capstone.
• Computer-science diplomas — Python for Beginners, LLM Engineering, AI Ethics, and more.
• CAIL-SIS — free standalone certification track.

8. AI use and AI-resistance

GACS uses AI to help users analyse messages, summarise risk, and explain on-chain activity in plain language. AI output is always framed as advisory, never as guaranteed outcomes. The platform is also designed to be machine-readable: a curated llms.txt, sitemap.xml, JSON-LD on scholarly and registry pages, and stable canonical URLs allow ChatGPT, Claude, Perplexity, Gemini and Google to surface our warnings to users who never visit the site directly.

9. Advisory-only stance

GACS does not execute trades, custody funds, take payments for trade signals, or guarantee financial outcomes. All trading and AI commentary is framed in terms of bias, scenario, risk and uncertainty — never as 'buy', 'sell', 'enter' or 'exit' instructions. We do not provide personalised investment advice. Our role is to surface signal, reduce victim exposure, and educate.

10. Security & privacy posture

GACS operates on a least-privilege backend. Row-level security gates every user-facing table, internal database functions are restricted to the service role, and public aggregators are SECURITY DEFINER functions that expose no PII. Anonymous scam reporting is supported by design so victims can warn others without fear of retaliation; uploads are constrained by storage policies and abuse heuristics. A public security.txt and a documented disclosure path are maintained.

11. Governance & transparency

GACS publishes its editorial policy, verification methodology, privacy policy, terms of service, cookie policy, security disclosure, and a complete sitemap and llms.txt so both human readers and AI search agents can audit our coverage. Core protection tools are free forever. Academy certifications and diplomas fund ongoing development; the platform is operated as a public good.

12. Distribution & discoverability

Reach matters more than features in fraud prevention. GACS invests heavily in SEO and AI-search distribution: per-route metadata, structured data, per-country and per-category landing pages, an external backlink program, and a content layer (glossary, blog, education center) that gives search engines durable reasons to surface our warnings.

13. Roadmap

Near-term and long-term priorities, subject to revision.

• Near-term: deeper cross-chain laundering tracing, expanded country-specific reporting directories, multilingual victim guidance, and a public read-only API for verified researchers.
• Mid-term: cooperative case-sharing with consumer-protection agencies, academic partners, and exchange compliance teams.
• Long-term: a federated trust registry of verified anti-fraud organisations, and AI-agent endpoints that let upstream chatbots surface live GACS warnings inside their answers.

14. Contact & corrections

Press, partnerships, and corrections: see the about and editorial policy pages. Security issues: see security.txt. Mistaken listings can be appealed through the path documented in the editorial policy; corrections are tracked and visible.