TL;DR: Most organizations already rely on AI vendors—model providers, API services, plugins, copilots—but few contracts actually control the risks. A missed clause today can mean data misuse, vendor lock-in, or regulatory exposure tomorrow. This playbook explains the five clauses every 2025 AI contract needs, how to operationalize them, and what evidence auditors expect. 1) Why […]
TL;DR: Prompt injection isn’t just a string-matching issue. It’s a governance problem: unclear boundaries, over-privileged tools, and missing approvals. Filters help, but durable defense requires policy, permissions, and process—implemented as code. This playbook shows how to prevent, detect, and contain injection across chat, RAG, agents, and screen/RPA flows. 1) What counts as prompt injection (and […]
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 […]
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 […]
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 […]
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, […]
The Rise of Sustainable Aviation: How Aerospace is Adapting to Environmental Challenges
Introduction The aerospace industry is undergoing a transformative shift as it confronts one of the...
TL;DR: Most organizations already rely on AI vendors—model providers, API services, plugins, copilot...
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