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Mission, methodology, scam-registry architecture, certifications program, advisory-only stance, governance and roadmap for a free, public-good anti-fraud platform.
Read time ~10 minutes · Free to read, share and cite · Published by GACS
GACS — the Global Anti-Crime & Safety — 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 certifications program so victims, investigators, journalists, and ordinary users can defend themselves with the same tradecraft used by professional analysts.
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.
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.
GACS is structured as four interlocking layers. Each layer is independently useful but compounds in value when combined.
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.
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.
The Certifications hub 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>.
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.
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.
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.
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. free certifications and diplomas fund ongoing development; the platform is operated as a public good.
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.
Near-term and long-term priorities, subject to revision.
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.
Independent primary sources used to check and corroborate the guidance on this page.
Official US channel for reporting internet-enabled fraud and cybercrime.
Consumer fraud reporting and published enforcement data.
UK national reporting centre for fraud and cybercrime.
Canada's central repository for fraud reports and scam alerts.
Source: GACS — Global Anti-Crime & Safety · Published by the GACS Research Team · Updated August 9, 2026
Cite this page: GACS (2026). Whitepaper — GACS. https://gacs.app/whitepaper · Record ID GACS-whitepaper
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