Governance

Centralized control, security, and compliance are becoming core AI infrastructure.

New survey data shows limited oversight, rising breach costs, and growing friction between compliance and AI deployment.

A governance-focused deployment model targets law enforcement and emergency operations.

New deployment options prioritize data sovereignty and administrative control for corporate environments.

Alan Turing Institute and PAIF report provides practical guidance on integrating AI workflow oversight, continuous monitoring, and vendor governance into existing regulatory frameworks.

New programs aim to combine technical AI skills with governance and ethical decision-making at global scale.

New benchmark reveals widening gaps in public reporting on training data, model risk, and environmental impact.

Deal integrates data governance, metadata, and MDM into Salesforce’s AI platform to support scalable, auditable AI operations.

Joint offering targets developer productivity, compliance, and large-scale deployment.

New model and managed tool framework target long-context reliability, autonomous workflows, and lower deployment overhead.

The new AWS-powered suite introduces vetted open-source models, built-in risk profiling, and policy controls designed to accelerate secure AI development at scale.

Proactive security and automated remediation to address AI’s growing attack surface.

Richard Fontaine appointed to Long-Term Benefit Trust amid growing AI-security intersection

New product targets operational and legal exposure as AI systems move into business-critical workflows.

Stanford's "Digitalist Papers" explore AI's impact on democracy, featuring 19 experts' essays on governance strategies in the AI era.