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AI Policy & Regulation Hub: NeuralWatch's Resource Index

The central resource index for AI policy and regulation on NeuralWatch — EU AI Act compliance, US federal frameworks, state legislation, enforcement

By NeuralWatch Desk · · 7 min read

The AI regulatory landscape shifted from speculative to operational between 2024 and 2026. The EU AI Act moved from paper to enforcement, with GPAI model obligations kicking in August 2025 and high-risk system requirements rolling out on the August 2026 deadline. In the United States, Executive Order 14179 retrenched federal requirements but left the NIST AI Risk Management Framework standing as the de facto national standard — and state legislatures moved to fill the gap, with Texas TRAIGA and California SB 53 creating binding requirements for companies doing business in those states.

For AI product teams, compliance counsel, and policy watchers, keeping track of what applies, when it applies, and what it actually requires has become a full-time job. NeuralWatch covers this landscape from an independent watchdog perspective: primary sources over vendor summaries, enforcement actions over announced intentions, and concrete compliance steps over framework recitations.

This page collects the most useful coverage on NeuralWatch into a single indexed resource, organized by regulatory jurisdiction and topic. Use it as your reference point for understanding which frameworks apply to your organization, what the deadlines actually are, and what you need to do before the next compliance checkpoint.

The regulatory landscape is moving quickly. We update this index as major developments land — new enforcement actions, significant interpretive guidance, treaty-level developments in AI governance. Bookmark it and return to it as the regulatory environment continues to evolve through 2026 and into 2027.


Global and Cross-Jurisdictional Frameworks

Start here if you’re trying to understand the full picture before going deep on a specific jurisdiction.

[AI Regulation in 2026: The Global Landscape Explained](/posts/ai-regulation) The most comprehensive overview on this site. Covers the EU AI Act’s rolling deadlines, the NIST AI Risk Management Framework as the US de facto standard, Texas TRAIGA, California SB 53, and what each means for AI product teams. The right starting point if you’re building a compliance program from scratch or briefing leadership on the regulatory environment.


European Union: AI Act

The EU AI Act is the most comprehensive binding AI legislation in force anywhere. Its scope, risk-tiered obligations, and enforcement mechanisms make it the framework that most large organizations have to engage with regardless of their primary jurisdiction.

EU AI Act: Risk Tiers, Compliance Deadlines, and What Product Teams Must Do A plain-language guide to the four risk tiers (unacceptable, high-risk, limited-risk, minimal-risk), the compliance timeline through 2027, GPAI model obligations for general-purpose AI systems above the 10^25 FLOP training threshold, and the concrete steps teams need to take before the August 2026 high-risk system deadline.


United States: Federal Policy

AI Policy in 2026: The US and EU Frameworks Every Product Team Needs to Know A practical guide to the current US federal posture — the shift under Executive Order 14179, what the NIST AI RMF requires in practice, sector-specific guidance from CISA and NIST, and how the US framework interacts with EU obligations for organizations operating in both markets.


Enforcement and Regulatory Actions

FTC logs $2.1B in social media scam losses as TAKE IT DOWN deadline lands The FTC’s enforcement posture on AI-generated content and deepfakes, covered through the lens of the TAKE IT DOWN Act’s compliance deadline for covered platforms. Includes the enforcement mechanism and what the FTC’s $2.1B social media scam figure implies for how seriously they’re treating AI-enabled fraud.


What this site covers

What this site is for NeuralWatch’s mission: independent watchdog coverage of AI policy, regulation, and accountability — tracking enforcement actions, regulatory developments, and the gap between policy announcements and operational impact.


Cross-Site Reading

NeuralWatch covers the policy and regulatory layer. For the security incidents that often drive regulatory attention, see AI Alert. For the technical controls that compliance frameworks reference, see GuardML (defensive engineering) and aisec.blog (offensive security).

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