AI Sandboxing: Containing the Power Before It Escapes
AI sandboxing is no longer optional—it's a governance must-have. Explore practical strategies, regulatory sandboxes, and real-world risk management insights.
Federal Agencies Ordered to Accelerate Responsible AI Adoption Under OMB Memo M-25-21
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 New Mandate: How to Assess AI Vendors for Trust, Compliance, and Long-Term Value
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: Navigating the Risks of Emerging Technologies
Australia's mandatory AI guardrails aim to address significant risks posed by high-risk technologies across finance, healthcare, education, and public safety
🚀 Launch Alert: Introducing the AI Trust Launchpad
CognitiveView launches the AI Trust Launchpad — a lightweight, powerful toolkit to help AI startups pass procurement, build trust, and stay compliant from day one.
How to Build an AI Risk Register That Actually Works
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
Auto Discovery of AI Assets with Amazon SageMaker: One Click to AI Governance
Gain instant visibility into your AI landscape with one-click auto-discovery from Amazon SageMaker.
How Startups Can Prove Trustworthiness in Minutes
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 and ESG: How Governance Plays a Role in Sustainable & Ethical AI
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.
Understanding NIST’s AI Risk Management Framework: A Practical Implementation Guide
AI risk management is critical for ensuring trustworthy, fair, and compliant AI systems. This guide explores NIST’s AI Risk Management Framework .
The Dark Side of AI: Algorithmic Bias, Deepfakes, and Misinformation
The Double-Edged Sword of AI AI is transforming industries, enhancing productivity, and revolutionizing decision-making. But with great power comes great responsibility—and significant risks. From algorithmic bias in hiring systems to deepfake videos manipulating public perception, AI’s dark side is becoming harder to ignore. A recent study found that
AI & Privacy: Navigating Data Protection Challenges in AI Systems
AI and Privacy: A Growing Concern AI is transforming industries, from personalized healthcare to real-time fraud detection. But as AI systems process vast amounts of data, concerns over privacy, security, and regulatory compliance have surged. How can businesses harness the power of AI while ensuring they protect user data and