Your go-to resource for AI governance, risk, compliance, and responsible AI adoption.
AI startups struggle when missing AI documentation stalls deals and slows procurement. In this guide, learn how to self-assess, leverage our AI Policy Assistant, and publish a shareable Trust Center—in under two hours—so you can build trust and move forward without a legal team.
Procurement teams are raising the bar for AI startups. This guide helps you prepare with rapid self-assessments, policy automation, and transparency that builds trust and accelerates deals.
AI sandboxing is no longer optional—it's a governance must-have. Explore practical strategies, regulatory sandboxes, and real-world risk management insights.
Understand how OMB M-25-21 is reshaping AI use in government. From CAIO roles to high-impact AI rules, we break down what agencies and vendors need to know—plus provide a compliance checklist.
Procurement's role is evolving rapidly—AI isn't just another technology to buy; it’s a strategic decision. Learn how procurement leaders can assess AI vendors effectively, ensuring transparency, regulatory compliance, and long-term success.
Australia's mandatory AI guardrails aim to address significant risks posed by high-risk technologies across finance, healthcare, education, and public safety
CognitiveView launches the AI Trust Launchpad — a lightweight, powerful toolkit to help AI startups pass procurement, build trust, and stay compliant from day one.
An AI risk register isn’t just a compliance tool—it’s a strategic asset. Learn how to identify, prioritize, and manage AI-specific risks with real-world scenarios
Gain instant visibility into your AI landscape with one-click auto-discovery from Amazon SageMaker.
AI startups face increasing pressure to prove their models are compliant, transparent, and ethical. With evolving regulations and growing enterprise demands, compliance is no longer optional—it’s a competitive advantage. This article explores how startups can simplify AI compliance.
AI governance plays a crucial role in aligning Artificial Intelligence with Environmental, Social, and Governance (ESG) goals. This guide explores how sustainable AI practices, ethical frameworks, and compliance regulations can ensure responsible AI development while minimizing risks.
AI risk management is critical for ensuring trustworthy, fair, and compliant AI systems. This guide explores NIST’s AI Risk Management Framework .
