Contaminated AI doesn't ship. Operators hunt it down — red teamers, ML researchers, AI safety folks, engineers, and veterans — cert the clean ones, blacklist the dirty ones, file the reports with whichever authority has jurisdiction, and feed the prosecutions. CSAM is the headline class because it's the most illegal, the most mandatory-reportable, and the most enforced. The methodology covers the full spectrum.
"No quarter" is the formal declaration that captured enemies will not be spared. It is the oldest operator doctrine we have. Applied here it means: an AI publisher who ships contaminated models does not get a warning, a grace period, or a quiet correction. They get a cert-fail, a blacklist entry, a NCMEC report, a named public record, and a prosecutable case in the hands of law enforcement. Their shell corps get traced. Their next venture starts with their record attached.
KNOXAI does not negotiate with publishers who knowingly shipped contamination. We take their cert, their listing, their reputation, and — when the finding is CSAM — their freedom, via the reporting pipeline the federal government already built and we plug into.
"Forever" is the wrong word. Illegal and dangerous content predates computers. It will outlast them. What ends forever is the public AI ecosystem as a vector for it. The target state looks like this:
Contaminated models still exist privately. Attackers still try. Operators still hunt. The difference is that shipping a contaminated model publicly becomes economically irrational — the only outcomes are audit-pass or prosecution. Between those two outcomes there is no commercial viability. That is the target.
The five gates are class-agnostic: they detect contamination, memorization, harmful-output capability, and publisher-attestation mismatch regardless of what's hidden. Pricing bundles scale to the classes a deployment is actually liable for. Eleven classes as of v0.1; the matrix expands as new threats emerge.
Each class has its own detection methodology, its own reporting path, and its own operator specialty tag in the guild directory. A publisher audits against the classes their deployment is actually liable for — Civitai-shipped image LoRAs need CSAM + NCII; a pharma LLM needs CBRN + PII + copyright; a defense contractor needs all of them.
Partner with LAION's successors, Common Crawl, Open Images, DataComp — any public training-dataset pipeline. Embed hash-match scanning before publication. Quarantine flagged shards. Auto-report. A clean dataset layer starves the next generation of contaminated models at birth.
HuggingFace, Civitai, Ollama, Replicate, Together AI — every public model marketplace requires a valid KNOXAI cert before a model is listed. Six-month grace for the existing catalog. Delist what's uncerted. Platforms cooperate because regulators already have them in the crosshairs and the cert is the cheapest safe-harbor path they have.
Base model cert references dataset cert. Fine-tune cert references base cert. LoRA cert references fine-tune cert. Break the chain and downstream consumers see it. Regulators see it. Enterprise procurement sees it. Bad actors can't hide behind "we just used a base model somebody else trained."
CSAM goes to NCMEC CyberTipline under 18 USC §2258A — The Cochran Block, LLC is the reporting electronic communication service provider. CBRN uplift goes to the FBI WMD Directorate. NCII to state AGs + platform T&S. Fraud to FTC / IC3. Backdoored weights to CISA. Each class, its own pipeline; KNOXAI integrates them.
Preserved evidence on every fail: signed audit artifact, exact prompts that elicited content, hashed outputs, publisher's own signed attestation of corpus + base model. A tip with that payload is a prosecutable case in a box — routed to the right regulator, arriving with cryptographic provenance.
Civilian red teamers, MATS alumni, AI safety researchers from Anthropic / OpenAI / DeepMind / Redwood, ML engineers from HuggingFace / Databricks / Thorn / Meta T&S, academics from CSAIL / HAI / CyLab / BAIR, industry crossover from the DEFCON AI Village, and veteran pipelines via DoD SkillBridge and VR&E Ch. 31. Every quarter, new operators join. Every year the guild is larger than the last. The people paid to find this content outnumber the people trying to ship it.
Maryland home-state advantage. Virginia, Texas, California, New York next. Federal bill pending. NIST framework. EU AI Act conformity recognition. Once the cert is statutorily referenced, it isn't a product — it's compliance infrastructure. The price of not carrying it becomes regulatory, not competitive.
Full-time hunt team funded out of platform take. Monitor HuggingFace's release feed, Civitai's new-models list, GitHub's trending AI repos, dark web marketplaces under the Gov tier's legal envelope. Every uncerted model exhibiting contamination signs goes to the blacklist. Publisher is named. Platform is notified. NCMEC is filed. The pipeline fires without the publisher's cooperation.
Every lever above is machinery. This one is the norm that eventually makes the machinery routine instead of heroic. "Is it certed?" becomes as reflexive as "does it use HTTPS?" Publishers brag about their cert. Influential voices in AI endorse the practice. The cert is table stakes. Shipping without one isn't a tradeoff — it's a tell.
Honesty keeps the machinery credible. KNOXAI cannot:
But the machinery doesn't need to catch every instance to win. It needs to make the public AI ecosystem hostile enough that contaminated models can't scale, can't distribute, can't profit, and can't survive without placing their creators on federal indictments. That is achievable. That is the objective. That is the posture.
Red teamers · ML researchers · ML engineers · data scientists · AI safety researchers · OCO/IC vets · SkillBridge active-duty · VR&E disabled veterans. One read of the handbook, one hardware provisioning, one referrer signoff. knox.cochranblock.org/onboarding
If your model ships clean across the harm classes your deployment is liable for — cert it and move on. Pricing bundles to the classes that matter for your context. Standard ($20/yr) covers CSAM + generic. Add-ons for NCII, CBRN, supply-chain, privacy, copyright. Full Spectrum ($150/yr) covers all eleven classes. If any class ships dirty, we find out. knox.cochranblock.org
Every shell corp in your chain will be traced. Every model you published under any name we can attribute will be cert-failed, publicly blacklisted, and reported. Your technical defense is useless against a guild whose members spent careers — in offensive cyber, in safety research, in trust and safety, in adversarial ML — finding what people hide in systems. Stop shipping. Or be stopped.