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October 1, 2025
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Red Teaming GenAI: What “Good” Looks Like and How to Report It

TL;DR: Red teaming generative AI isn’t just “try to break the bot.” It’s a structured program that tests content risks (hallucination, toxicity, IP leakage), security risks (prompt injection, data exfiltration), and action risks (unsafe tool calls, financial/operational harm). This guide shows you how to plan, execute, score, and report red-team results so product, security, and […]

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September 17, 2025
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Model Risk Management 2.0: Translating MRM Principles to Generative AI

TL;DR: Traditional Model Risk Management (MRM) still applies—governance, validation, monitoring, change control—but generative AI (GenAI) adds new moving parts (prompts, retrieval, agents, tool-calls, content risks) and faster vendor updates. This playbook adapts core MRM to GenAI so you can ship value while staying audit-ready. 1) What “counts as a model” in GenAI (broaden your inventory […]

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September 10, 2025
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Shadow AI Is Already in Your Org: A Practical Playbook for Discovery and Control

TL;DR: “Shadow AI” isn’t a hypothetical. It’s the prompt pasted into a public chatbot, the spreadsheet add-in that autocompletes sales notes, or the intern’s browser extension summarizing HR files. This playbook shows you how to discover unsanctioned AI use fast, triage risk, and enable approved AI with audit-ready controls—without killing productivity. What Counts as “Shadow […]

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August 28, 2025
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GraphRAG vs. Vanilla RAG: Structure, Signal, and the End of Hallucinations

TL;DR: Vanilla RAG (vector search → stuff context → generate) is great for “find and summarize.” It breaks on multi-hop questions, entity-heavy domains, and anything that needs joins, constraints, or causality. GraphRAG adds an explicit knowledge graph—entities, relationships, events—so the model retrieves structured facts first, then uses text passages as evidence. The result: higher factuality, […]

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August 4, 2025
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The Foundation-Model Frenzy: How 2025 Has Rewritten the AI Playbook

IntroductionEight months into 2025, AI progress feels less like incremental improvement and more like an arms race of imagination. Frontier labs are shipping ever-larger, ever-smarter models, multimodality has graduated from “cool demo” to table-stakes feature, and open-weight releases are forcing tech giants to rethink their moat strategies. Below is a mid-year pulse check on what’s […]

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April 2, 2025
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Certificate Request

Certificate-Request First Name   Last Name   Email   Subject   Description    Due Date    010203040506070809101112 000102030405060708091011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859 AMPM Priority    -None-HighMediumLow Attachment    Attach files Each of your file(s) can be up to 20MB in size.You can attach as many as 5 files at a time.     powered by

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October 10, 2024
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Automotive: The Future of Autonomous Vehicles: Challenges and Opportunities in the Automotive Industry

Introduction Autonomous vehicles (AVs) have emerged as a transformative force in the automotive industry, promising to revolutionize the way we travel. While the technology has made significant advancements in recent years, it faces several challenges before it can become a mainstream reality. This blog explores the future of autonomous vehicles, highlighting the challenges and opportunities […]

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