Doctor, This AI Model Is Safe—Here’s the Proof
Radiology AI tools are powerful—but are they provably safe? This post explores how TRACE transforms performance metrics into HIPAA-compliant audit logs and factsheets for patients and clinicians alike.
Metrics Aren't Compliance: How TRACE Adds Context for Auditable AI
AI metrics are necessary—but not sufficient—for compliance. Learn how TRACE adds purpose, risk, and impact metadata to generate audit-ready evidence that meets EU AI Act and ISO 42001 expectations.
TRACE + Deepeval: Making Open-Source Metrics Audit-Ready
Learn how pairing Deepeval with the TRACE framework turns raw fairness, privacy, and robustness metrics into audit-ready evidence that satisfies EU AI Act, NIST RMF, and ISO 42001 requirements.
Bridging the Metrics-to-Evidence Gap
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.
Turning AI Metrics into Audit‑Ready Evidence with the Responsible AI TRACE Framework
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.
Patient-Facing AI Factsheets: From Theory to Practice
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.
3‑Step Roadmap for Your Responsible AI Journey
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.
Shipping Safe LLMs
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.
From Theory to Practice: From AI Fear to AI Fluency—Building the Future Hybrid Workforce
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.
From Theory to Practice: Embedding Australia's Voluntary AI Safety Standard into Your Agile Sprint
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.
Startups, Want Faster Sales? Launch a TrustCenter to Close the Trust Gap
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.
Mapping Your AI Stack to Governance: A Startup Guide
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.