AI Governance in each SDLC Phase When governance is built into every phase, organizations avoid costly rework, reduce regulatory exposure, and create AI systems that are reliable, explainable, and trustworthy. Continuous monitoring and regular audits ensure AI remains compliant long after deployment not just on day one. Read Here: https://www.infosectrain.com/blog/ai-governance-in-each-sdlc-phase AI governance isn’t a final checkpoint. It’s a continuous discipline that turns AI from a liability into a long-term advantage. #AIGovernance #SDLC #ResponsibleAI #AICompliance #InfosecTrain #CAIGS #CyberSecurity #AIEngineering #TrustworthyAI

LIME vs. SHAP: Who Explains Your AI Better? AI decisions shouldn’t feel like magic or guesswork. When models become black boxes, explainability is what turns predictions into trust. Read Here: https://infosec-train.blogspot.com/2026/01/lime-vs-shap.html Understanding LIME and SHAP is essential for building trustworthy, compliant, and accountable AI systems especially as AI regulations tighten worldwide. #ExplainableAI #XAI #AIGovernance #LIME #SHAP #ResponsibleAI #InfosecTrain #CAIGS #AITransparency

The EU AI Act vs. ISO/IEC 42001:2023— Regulation meets implementation EU AI Act sets the legal expectations. It’s the world’s first comprehensive, risk-based AI law, classifying AI systems into Unacceptable, High-Risk, Limited, and Minimal Risk categories, each with clear obligations and penalties. Read Here: https://www.infosectrain.com/blog/the-eu-ai-act-vs-iso-iec-42001-2023 #EUAIAct #ISO42001 #AIGovernance #ResponsibleAI #AICompliance #RiskBasedAI #InfosecTrain #CAIGS