Your go-to resource for AI governance, risk, compliance, and responsible AI adoption.
AI teams track metrics. Regulators want evidence. TRACE transforms fairness scores, privacy metrics, and model evaluations into audit-ready proof—automatically. Learn how it bridges the Metrics-to-Evidence Gap and helps you comply with EU AI Act, NIST AI RMF, and ISO 42001.
AI governance demands more than metrics—it needs evidence. Learn how CognitiveView’s TRACE Framework bridges the gap between evaluation and audit-ready compliance aligned with EU AI Act, NIST, and ISO 42001.
In 2025, transparency is a must. Learn how healthcare startups can publish a patient-facing AI factsheet in 30 days to meet EU AI Act, NIST, and ISO 42001 standards—while building trust with patients and payers. Includes examples, KPIs, and a free template.
Discover a clear, standards‑aligned path to Responsible AI. Learn how CognitiveView’s 3‑step Governance, Risk, and Compliance (GRC) journey helps you assess, monitor, and comply with frameworks such as NIST, the EU AI Act, and ISO 42001—while growing at your own pace.
Use Deepeval to build a continuous quality gate for LLMs that blocks hallucinations, bias, and drift. This guide shows how to integrate it with GitHub Actions and your risk framework—aligning AI deployments with NIST and ISO standards using open-source tools.
AI isn’t replacing your workforce—it’s becoming part of it. In this recap of my conversation with Dr. Ranjan Data, we break down how to move from AI fear to fluency with practical steps for reskilling, governance, and designing a truly hybrid workforce.
Discover how Cognitiveview empowers Agile teams to integrate AI safety into every sprint—managing risks, automating compliance, and connecting seamlessly with observability tools like MLflow and SageMaker. Make compliance effortless, proactive, and audit-ready.
In regulated industries, AI governance isn’t optional—it’s foundational. Discover how launching a TrustCenter can accelerate your sales by proactively addressing buyer concerns around risk, compliance, and governance.
A practical guide for AI startups on how to map their tech stack—predictive, generative, or agentic—to governance frameworks like NIST and the EU AI Act, with clear examples and fast implementation tips.
AI startups are being asked tough procurement questions about risk, fairness, and compliance. This guide covers 10 key questions you’ll face—and how to answer them with simple policies, practical evidence, and an AI-powered governance toolkit.
In today’s AI-driven world, startups can no longer afford to ignore governance. Learn the five essential AI policies—Responsible AI, Data Privacy, Explainability, Bias, and Third-Party AI—that help you close deals, build trust, and stay ahead of regulations like the EU AI Act and NIST RMF.
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.
