Resources  
  • The Challenge of Contradictory Evidence in Financial RAGJul 30, 2026. Navigating financial RAG contradictions: A hybrid framework for deterministic, LLM-driven, and human-in-the-loop resolution.
  • Generative AI, Part 4 — Modular RAG for Creators: Blend Templates with Evidence (Without Breaking Flow)Oct 16, 2025. Modular RAG blends generative AI with retrieval for content creation, ensuring on-brand, factually sound outputs. It uses policy-aware retrieval, atomic claims, and sectioned generation to cite evidence without disrupting creative flow. Validators enforce schema, citation coverage, and freshness, creating auditable and repeatable content production.
  • Weight of Evidence (WOE) And Information Value (IV)Jan 02, 2024. Delve into the realm of Weight of Evidence (WOE) and Information Value (IV) in machine learning. Uncover their significance, use cases, calculation methods, and practical applications in logistic regression with insightful examples. Master WOE and IV in Python for enhanced modeling.
  • AgentFactory: Turning Enterprise Intent into Governed, Evidence-Backed ExecutionJun 18, 2026. AgentFactory: Transforming enterprise intent into governed, evidence-backed execution with intelligent agents and digital workflows.
  • Prompt Engineering: Actionable RAG - Evidence, Eligibility, and Citations (with a Real-World Deployment)Oct 30, 2025. Actionable RAG: Move beyond demo RAG with evidence-based systems. Learn how to build RAG with explicit eligibility, citations, and tool integrations for production.
  • Evidence-First Context Engineering with GSCP-12Oct 19, 2025. GSCP-12 offers a structured approach to context engineering, treating context as verifiable evidence rather than bulk text. It enforces policies as data, ensuring factual accuracy, reduced token usage, and faster response times. This system prioritizes claim-based context, freshness, and validation, leading to more reliable and defensible AI outputs. Improve your AI governance with GSCP-12.
  • Evidence In C#Mar 11, 2010. IIn C#, Evidence is a class within the System.Security.Policy namespace. It is used in .NET Framework applications to represent the evidence that is used to establish the permissions granted to an assembly. Evidence can include various types of information, such as zone, URL, strong name, and hash. This information helps the .NET runtime make security decisions regarding code execution based on the provided evidence.
  • Proof of Skills: The New Currency of CredibilityJun 12, 2026. Proof of skills is the new credibility currency. Build, ship, and share your work to stand out in the AI era.
  • Context Engineering’s Next 5 YearsOct 11, 2025. Explore the future of context engineering: from policy-aware retrieval and contract-as-code to provenance tracking and privacy-preserving exchange. This article outlines the next five years, emphasizing standardization, instrumentation, and integration into the software stack. Learn what to build now to leverage governed context as a competitive advantage in the age of AI, ensuring accuracy, compliance, and cost-effectiveness.
  • How to Maintain a CodeGroup in Security Policy at Runtime?Jul 05, 2005. Whenever protected resources are accessed by an assembly, it’s permissions are determined by the code access security system of CLR. Each permission set granted to an assembly is based on the assembly's evidence (such as its URL or publisher certificate, strong name), which in turn is based on configurable security policy.