Research & Knowledge Hub
2,242+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
Articles - Page 36
2,242 articles
MLOps for Beginners: CI/CD, Model Versioning, Feature Stores, and Production Best Practices
Learn MLOps for beginners with practical CI/CD stages, model versioning via registries, feature stores to prevent skew, and production best practices for monitoring and safe rollout.
From Chatbots to Agents: A Practical Roadmap to Upgrading LLM Apps into Agentic Workflows
A practical roadmap for moving from chatbots to agents by adding tools, workflows, planning, orchestration, and production guardrails for reliable agentic AI.
Building Safe Agentic AI Systems: Guardrails, Permissions, and Human-in-the-Loop Patterns
Learn how to build safe agentic AI systems with multi-layer guardrails, tool-scoped permissions, and human-in-the-loop patterns that scale, stay auditable, and reduce risk.
AI Model Evaluation Metrics: Choosing the Right KPIs for Classification, Regression, and LLMs
Learn how to select AI model evaluation metrics for classification, regression, and LLMs. Build KPI dashboards that balance performance, calibration, robustness, fairness, and safety.
Phishing-Resistant Security: Email Authentication (SPF/DKIM/DMARC) and User Training That Works
Learn how SPF, DKIM, and DMARC reduce spoofing, where they fall short, and which simulation-driven training methods measurably lower phishing risk.
Agentic AI Explained: How Autonomous AI Agents Plan, Act, and Learn in Real Time
Agentic AI enables autonomous agents to plan, use tools, act on real systems, and adapt in real time. Learn how agentic workflows work, where they fit, and key risks to manage.
AI Agents Explained: Architecture, Tool Use, Memory, and Real-World Applications
AI agents combine LLMs with tools, memory, and orchestration to complete multi-step workflows. Learn agent architecture, memory types, tool use patterns, and real applications.
Identity and Access Management (IAM) Deep Dive: MFA, Passwordless Authentication, and PAM
Identity and Access Management (IAM) deep dive covering MFA, passwordless authentication, and PAM, with practical patterns for hybrid work, cloud, and Zero Trust.
Responsible AI in Practice: Bias Detection, Model Transparency, and Governance Frameworks
Learn how responsible AI in practice works with bias testing, explainability artifacts, and governance frameworks aligned to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Secure Software Development Lifecycle (SSDLC): Integrating SAST, DAST, and SCA into DevSecOps
Learn how SSDLC works in DevSecOps by integrating SAST, SCA, and DAST into CI/CD with layered security gates, faster feedback loops, and runtime validation.
How to Build an End-to-End AI Project: From Data Collection to Deployment and Monitoring
Learn how to build an end-to-end AI project with a practical lifecycle covering problem framing, data collection, training, deployment, and continuous monitoring.
API Security Essentials: Preventing OWASP API Top 10 Risks in Microservices
Learn API security essentials for microservices by mapping preventive controls to the OWASP API Top 10 (2023), from BOLA and auth to SSRF, inventory, and abuse.