Ethyca

MIT Sloan on the emerging agentic enterprise: as AI systems gain autonomy, governance has to evolve from static oversight to embedded constraints that operate continuously across systems. Full story from MIT Sloan → fid.es/4b31AMA

Canada’s privacy and AI governance landscape kept moving in 2025 — even without major new legislation. IAPP’s year-in-review shows regulators relying on existing tools to shape accountability, transparency, and AI oversight. Policy clarity is emerging through practice. More via IAPP → fid.es/4qic1QU

As AI systems become more autonomous, governance and trust increasingly shape what can move into production. CIOs point to the need for clearer accountability, data use controls, and enforcement that operates at runtime — not just in policy or review. More via CIO → fid.es/4jkApze

InfoWorld on AI readiness: most challenges aren’t model-related. They stem from fragmented data, unclear ownership, and governance that doesn’t align with how AI systems actually use data. Learn more → fid.es/3L5feV5

CIO on balancing governance and innovation: the trade-off isn’t inevitable. Teams move faster when controls are predictable and enforced in systems — not handled through manual review. Learn why → fid.es/4pS6ocx

Consent is no longer a one-time interaction. As regulations expand, enterprises need a centralized system to present, enforce, and synchronize user preferences across every system in real time. Get the whitepaper → fid.es/4aqSoBB

PwC’s 2025 Responsible AI Survey finds that mature governance practices correlate with measurable business value — from efficiency to lower risk — reinforcing that Responsible AI is execution, not aspiration. Via PwC → fid.es/3LgsQNd

Can the FTC preempt state AI laws? This IAPP analysis suggests the answer is far from clear. Federal authority remains uncertain, while state AI regulation continues to move ahead. For now, AI governance has to be built for overlap, not uniformity. More via IAPP → fid.es/49ocWtj

WSJ CIO Journal asks whether corporate boards are truly ready for AI oversight. As AI becomes material to risk and strategy, boards will need clearer, system-level evidence — not just policy summaries. Find out via WSJ → fid.es/44KT2Gu

AI accountability gaps aren’t usually failures of intent. They’re failures of infrastructure. Without lineage, visibility, and enforceable controls, governance can’t be proven — only claimed. Fix your AI gaps → fid.es/45pC94f

As fintech platforms scale, privacy becomes part of core infrastructure. Ramp partnered with Ethyca to embed privacy into engineering workflows — automating rights handling, unifying data classification, and supporting AI-ready data operations. Get the case study → fid.es/4p2EPf7

Our mission: build the trusted data layer for enterprise AI. We only get there if the team runs on trust, every day. That’s what our Mexico City offsite was for: align on the year, and build real connective tissue. Highlights: ✅ Lucha Libre ✅ Indoor go-karts ✅ Art + history scavenger hunt ✅ Parque Quetzalcóatl + Biblioteca Vasconcelos ✅ Great meals, every night We left with clearer priorities and more trust across the org, and you can feel it in execution. We’re hiring: fid.es/4roJBpp

AI systems change daily. RoPAs update quarterly. EU AI Act + GDPR raise the bar. That gap is where compliance breaks: retraining, new integrations, shifting processors. RoPAs can’t be static docs. They must be living, real-time metadata. Our vision: fid.es/4qEDpIN

CCPA enforcement is getting more technical. California’s largest CCPA settlement to date wasn’t about having an opt-out link. It was about whether opt-out choices propagate across services, devices, identity states, and 3rd-party ad tech. Checklist + implications for 2026: fid.es/4cBopb3

Most AI projects don’t stall because models underperform. They stall because data isn’t ready to be used safely at scale. When lineage, consent, and policy are enforced at runtime, access becomes predictable and auditable — and AI can move faster without added risk. Get the briefing → fid.es/4peji3p

In 2025, AI governance advanced because organizations strengthened guardrails that align risk and delivery — not just because of regulation, but because it reduces uncertainty in deployment. Learn why via CIO Dive → fid.es/3MWyhRW

See our Mexico City kickoff, January 2026. The whole Ethyca team in one place. One theme. Make It Real: From Ambition to Execution. Real alignment, momentum and real fun. Recap here: fid.es/4kngwIe See our open jobs: fid.es/4adA6Sy

Privacy isn’t blocking AI. Translation is. A Trusted Data Layer turns privacy into enforceable infrastructure: shared taxonomy, policy-as-code, system-level enforcement, auditability by design. New post: “Unifying Legal & Engineering Teams with a Trusted Data Layer” Read: fid.es/4ant131

2026 is the end of regulatory certainty. Our 2026 Privacy & Data Protection Regulatory Landscape covers EU Digital Omnibus, EU AI Act implications, new U.S. state laws (Jan 2026), age verification, biometrics + neural data, enforcement trends, and an enterprise readiness framework. Read: fid.es/49QrlPw