ak - CCSD Council

November 17, 2025

by ak in Uncategorized

From Cloud-Only to Cloud + Edge: A Practical Migration Playbook for IT Leaders

How modern enterprises are cutting latency, reducing cost, improving resiliency—and why the shift is no longer optional. Introduction: The Cloud Was Never Meant To Do Everything For 12 years, the dominant IT strategy has been clear: “Move to the cloud.”But by 2025, almost every CIO and CTO is discovering the same truth: Cloud-only architectures struggle […]

October 10, 2025

by ak in Uncategorized

Third-Party AI Risk: The Five Clauses Your Contracts Can’t Skip in 2025

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 […]

October 7, 2025

by ak in Uncategorized

Prompt Injection Is a Policy Problem: Designing Defenses Beyond Filters

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 […]

October 1, 2025

by ak in Uncategorized

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 […]

September 17, 2025

by ak in Uncategorized

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 […]

September 10, 2025

by ak in Uncategorized

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 […]

August 28, 2025

by ak in Uncategorized

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, […]

August 21, 2025

by ak in Uncategorized

AI Agents, Not Apps: The Workflow Revolution Reshaping Knowledge Work

TL;DR: We’re moving from clicking through apps to delegating outcomes to AI agents—systems that can plan, use tools, take actions, and learn from feedback. The winning stacks combine small, fast models for routine steps with large models for edge cases, wrapped in strong guardrails, observability, and human oversight. If you design for workflows (not chat), […]

August 15, 2025

by ak in Uncategorized

The Small-Model Moment: Why SLMs Are Outshining Giants in 2025

TL;DR: Small language models (SLMs) — think ~100M to ~7B parameters — are winning more production workloads because they’re cheaper, faster, easier to govern, and “good enough” once you add retrieval, tools, and smart routing. Big models still matter for open-ended reasoning and novel generation, but the center of gravity for day-to-day enterprise tasks has […]

August 13, 2025

by ak in Uncategorized

Enterprise AI 2025: Regulation, GPUs & the Long Road from POCs to Profit

IntroductionWhile consumer chatter centers on chatbots and viral videos, the enterprise story is more nuanced: budgets are exploding, governance is tightening, and GPU scarcity is dictating who can scale. Here’s how the B2B side of AI is unfolding in 2025. 1. Adoption Is High—Maturity Is Not McKinsey’s March survey shows 78 % of companies already […]

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All posts by: ak

From Cloud-Only to Cloud + Edge: A Practical Migration Playbook for IT Leaders

Third-Party AI Risk: The Five Clauses Your Contracts Can’t Skip in 2025

Prompt Injection Is a Policy Problem: Designing Defenses Beyond Filters

Red Teaming GenAI: What “Good” Looks Like and How to Report It

Model Risk Management 2.0: Translating MRM Principles to Generative AI

Shadow AI Is Already in Your Org: A Practical Playbook for Discovery and Control

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

AI Agents, Not Apps: The Workflow Revolution Reshaping Knowledge Work

The Small-Model Moment: Why SLMs Are Outshining Giants in 2025

Enterprise AI 2025: Regulation, GPUs & the Long Road from POCs to Profit

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