AI Laws in Connecticut (CT)

What companies in Connecticut need to know about AI compliance

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.

No state AI law — but this federal framework still applies in Connecticut

Connecticut has not enacted its own AI-specific statute. That does not mean AI is unregulated here: the U.S. federal framework below is in force in Connecticut exactly as it is in every other state. Each authority links to its official government source. This is the cross-sector baseline — see the federal AI tracker for bills moving through Congress, and the industry pages below for sector-specific obligations.

Recent AI law developments in Connecticut

AI bills moving through the Connecticut legislature

The EU AI Act applies to any company serving EU customers, even if you're based in Connecticut. Penalties reach €35M or 7% of global revenue. Deadline: August 2, 2026.