AI Governance
The Agentic AI Reality Check: Why Most AI Agents Fail Without Governed Data
Key Takeaways AI agents fail in production when they operate on ungoverned, low-trust enterprise data. Agentic AI requires a governed data foundation plus Human-in-the-Loop (HITL) controls. Redesigning data and governance comes before automating workflows. Solix enables agentic AI by making enterprise data governed, auditable, and AI-ready. AI agents are everywhere right now. Every demo shows […]
AI Governance and Business-Specific Contextual Accuracy
Key Takeaways AI governance failures rarely come from model accuracy alone. They come from contextual inaccuracy. An answer can be technically correct but wrong for your business, industry, or regulatory environment. Business-specific contextual accuracy is the missing control layer in most AI governance programs. Enterprises must govern data, context, and usage, not just models. Why […]
Why Enterprise AI Is Failing Without a Fourth-Generation Data Platform
Key Takeaways Enterprise AI failure is usually a data-platform and governance problem, not a model problem. Lakehouses and legacy stacks were built for analytics, not for generative AI (GenAI) and agentic AI at enterprise scale. Fourth-generation platforms embed semantic intelligence, policy controls, and AI-grade governance into the core architecture. Regulated organizations need provable lineage, explainability, […]
Governance, Auditability, and Policy Enforcement Are the Real Moats in Enterprise AI
Enterprise AI is not failing because models are weak. It is failing because organizations cannot prove AI decisions complied with policy and law. In regulated industries, the winning moat is governance: lineage and provenance, RBAC and ABAC, least privilege, retention and legal hold, and audit trails that show what the model saw and why it […]
Open Source Intelligence (OSINT): How Enterprises Turn Public Data Into Governed AI and Risk Intelligence
Open Source Intelligence (OSINT) is the practice of collecting and analyzing publicly available data to generate insight. In the age of AI, OSINT becomes powerful, but without governance it also becomes risky. Enterprises need a control plane to turn OSINT into trusted, compliant intelligence. Key Takeaways OSINT turns public data into actionable intelligence. AI has […]
The Missing Piece in AI Governance: Fighting Bias In, Bias Out
If you listened to my recent podcast (Navigating Innovation and Trust in the Age of AI) with Kim Basile, Kyndryl’s Chief Information Officer, you would know that I like to work with acronyms. When looking at the exploding world of AI, enterprises and executives are experiencing FOMO – the Fear Of Missing Out. As Kyndryl […]