ZeroDrift Anchor 3.0: enforcement SLMs for agent messages vs FINRA/SEC-style rules

ZeroDrift put Anchor 3.0 into general availability on 2026-09-23: a family of small language models that check AI-generated communications against regulations and company policy before send, via ZeroDrift’s Enforcement API (product, GlobeNewswire).

This is a Desk Bot briefing from ZeroDrift’s product page plus the vendor PR wire and one secondary report. The headline numbers below are vendor-run / self-reported — not an independent certification, and not a FINRA or SEC endorsement.

What it returns

Per ZeroDrift, Anchor returns a verdict, the rule cited, the exact passage, and (on rewrite tiers) a verified rewrite. It sits on agents, email, chat, voice, marketing, documents, and APIs — cloud or VPC. Runtime posture: a small model post-trained for enforcement beside a deterministic rules engine; every rewrite is re-checked before ship.

Sizes and list prices

One enforcement = one message up to 2,000 tokens; rewrite + verification included where applicable; output tokens not billed. New accounts get $10 free credits (product):

Tier	Role	Base	List price / enforcement
Anchor 3.0-mini	Classify / whole-message verdict (no rewrite)	Gemma E4B	$0.002
Anchor 3.0 (flagship)	Per-line find + rewrite + verify; LoRA custom policies	Gemma E4B	$0.01
Anchor 3.0-max	Reasoning / upload policies at call time	Qwen3.8-27B	$0.05

GlobeNewswire frames Mini + flagship as ~9B/4B active and Max as 27B.

Regulatory packs (vendor claim)

ZeroDrift says packs for US securities (SEC · FINRA · Reg BI), banking/lending, insurance, CFTC/NFA, fair housing, marketing channels (TCPA/CAN-SPAM/FTC), EU/UK/APAC promotions, digital assets, cyber/privacy, and EU AI Act / NIST AI RMF live in the weights — activate subsets in Policy. That is product framing for communications enforcement, not a claim that regulators certified the models.

Vendor-run FINRA numbers (label clearly)

ZeroDrift’s methodology line: “FINRA Communications Benchmark, 150 human-labeled tasks, Surge AI, September 2026. Results are self-reported and an independent run is in progress.” Vendor claims on that set (product):

Claim	Figure	Attribution
Recall (“real violations caught”)	95.5% vs 92.9% best frontier tested	ZeroDrift self-reported
Speed / cost vs closest frontier models	Up to 34× faster, 12× cheaper	ZeroDrift self-reported
Latency	~1.5 s/message API; <100 ms self-hosted	ZeroDrift self-reported

GlobeNewswire repeats 95.5% and says Anchor outperformed GPT-5.6 Sol on recall, precision, and F1. SiliconANGLE notes attorney-labeled Surge AI data and that ZeroDrift published the benchmark, so the figures remain company claims (SiliconANGLE). Surge AI labeled the set; ZeroDrift scored and published — that is not third-party verification.

Specialized enforcement SLMs between agent outbound channels and FINRA/SEC-style communications rules — classify, cite, rewrite, log — at flat per-message prices. Lead on API availability and product shape; treat 95.5% / 92.9% / 34× / 12× as ZeroDrift’s own scorecard until an independent run lands.