AI Laws in Connecticut (CT)

As of 2026-07-04, Connecticut has not enacted an AI-specific statute; the Connecticut Attorney General office defers to Connecticut Data Privacy Act (Conn. Gen. Stat. sec. 42-515 et seq.) with an automated-decision / profiling opt-out. Operators across sectors in Connecticut watch federal signals first.

The federal and neighboring-state framework that governs your AI operations. Cross-Sector operators in Connecticut operate under a federal-dominant framework anchored by FTC Section 5 (15 USC 45) and NIST AI RMF 1.0, with adjacent authorities Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (15 U.S.C. § 6801-6809; NIST CSF 2.0); General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679); Section 508 / ADA Title III (Digital Accessibility) (29 U.S.C. § 794(d); 42 U.S.C. § 12181). FTC Operation AI Comply (Sep 2024) targeted five companies across sectors. The practical risk they have to price in is cross-sector FTC Section 5 exposure and state UDAP liability, and the bellwether signal to monitor is NIST AI RMF 1.0 (Jan 2023) is cited as the federal baseline across 30+ agency guidance documents. No regional statute applies yet. Connecticut's comprehensive high-risk AI bill (SB 2) passed the Senate but died in the House in 2024 and failed again in 2025; narrow measures apply, including a state-agency AI inventory and, effective July 2026, LLM training-data disclosure (SB 1295). Use this as a starting point; sector pages on this site go deeper into industry-specific obligations.

Because Connecticut has no dedicated AI statute, regulatory obligations fall back to Connecticut Data Privacy Act (Conn. Gen. Stat. sec. 42-515 et seq.) with an automated-decision / profiling opt-out layered with federal sector-specific rules.

Federal law still governs Cross-Sector AI in Connecticut primarily through FTC Section 5 (15 USC 45) and NIST AI RMF 1.0. Adjacent federal authorities include Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (15 U.S.C. § 6801-6809; NIST CSF 2.0); General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679); Section 508 / ADA Title III (Digital Accessibility) (29 U.S.C. § 794(d); 42 U.S.C. § 12181). Gramm-Leach-Bliley Act (GLBA) / NIST Cybersecurity Framework (enforced by Federal Trade Commission; NIST) applies to saas platforms handling personal/financial data via ai must implement nist csf security standards: identify, protect, detect, respond, recover. Penalty exposure: ftc civil penalties up to $100,000/violation; private litigation for data breaches. FTC Operation AI Comply (Sep 2024) targeted five companies across sectors.

The enforcement surface for Cross-Sector centres on FTC, CFPB, State Attorneys General, and the statute operators most often under-document is General Data Protection Regulation (GDPR) (for EU users) (EU Regulation 2016/679) — a gap that surfaces in cross-sector FTC Section 5 exposure disputes. Build an evidence binder covering AI inventory, risk-tier register, incident-response runbook, and board-level AI risk report. Treat NIST AI RMF 1.0 (Jan 2023) is cited as the federal baseline across 30+ agency guidance documents as your leading indicator and escalate when the signal shifts.

Connecticut's immediate neighbors also lack AI-specific statutes, so operators defer primarily to federal frameworks until regional precedent emerges.

With 11-50 employees you can justify a half-time compliance lead and part-time external counsel on retainer. Small-stage Cross-Sector operators should deploy a named compliance lead, formal AI inventory, quarterly bias spot-checks, and a documented escalation path, with semi-annual internal audit with annual external review and ownership resting with a designated AI compliance lead reporting to the CEO. small-business budgets ($50K-$250K) justify a compliance lead plus a GRC tool such as Credo AI, Fairly, or Holistic AI. For Cross-Sector specifically, the sharpest exposure to manage is cross-sector FTC Section 5 exposure and state UDAP liability. Given Connecticut's concentration in insurance, financial services, and advanced manufacturing, insurance-underwriting models and automated employment-screening tools deserve priority in your AI inventory.

Verified 2026-07-04. See https://www.cga.ct.gov/asp/cgabillstatus/cgabillstatus.asp?selBillType=Bill&bill_num=SB00002&which_year=2024 for the Connecticut Attorney General public record on Connecticut AI policy.