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Practical thinking for securing organizational AI. Get clear ideas for AI rollout, workspaces, rules, reporting, cost visibility, and the operating decisions that help teams use AI with confidence.

The New Economics of AI: Why Model Cost, Access, and Context Now Matter More Than Accuracy

Featured insight

The New Economics of AI: Why Model Cost, Access, and Context Now Matter More Than Accuracy

As enterprises race to embed AI across workflows, a fundamental shift is underway. Accuracy — once the holy grail of AI performance — is no longer the defining success metric.

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From Tokens to Outcomes: A CFO’s Guide to Measuring GenAI ROI in 2025
AI Cost Optimization

From Tokens to Outcomes: A CFO’s Guide to Measuring GenAI ROI in 2025

2023 and 2024 were the years of AI experimentation. 2025 is the year of AI accountability. CFOs across industries are now being asked the hard ...

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Shadow AI by the Numbers: How to Quantify — and Eliminate — Hidden Risk
AI Adoption

Shadow AI by the Numbers: How to Quantify — and Eliminate — Hidden Risk

Shadow AI—the unsanctioned use of generative AI tools by employees without approval or oversight—has quietly grown into a major operational and ...

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What Actually Happened to Enterprise AI Spend
AI Cost Optimization

What Actually Happened to Enterprise AI Spend

From Experimentation to Execution Between 2022 and 2024, enterprise investment in AI-centric systems surged by an annual rate of 27%, hitting $19.5 ...

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AI Policy 101: How Enterprises Can Define Clear AI Usage and Governance Rules
AI Governance

AI Policy 101: How Enterprises Can Define Clear AI Usage and Governance Rules

As AI adoption accelerates across the enterprise, so does the complexity of managing it responsibly.

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AI Model Selection: Why One Model Won’t Work for Everything
AI Governance

AI Model Selection: Why One Model Won’t Work for Everything

Enterprise AI is evolving fast—but one thing is becoming crystal clear: 👉 No single model—or single model provider—can meet the diverse needs of a ...

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AI Operational Insights: Turning Data into Action
AI Security

AI Operational Insights: Turning Data into Action

As AI systems become more embedded into enterprise workflows, the demands on operational infrastructure grow more complex. Running models in ...

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The Enterprise AI Security Checklist, Revisited: Beyond Checkboxes and Into Real-World Complexity
AI Security

The Enterprise AI Security Checklist, Revisited: Beyond Checkboxes and Into Real-World Complexity

We recently published an overview of how traditional cybersecurity measures can miss the mark in AI-driven environments—and the level of interest we ...

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Evaluating AI Models: Key Metrics for Large Language Models
AI Adoption

Evaluating AI Models: Key Metrics for Large Language Models

As enterprises adopt Large Language Models (LLMs) across a growing range of tasks—from chatbots and summarization to knowledge retrieval and code ...

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The Hidden Costs of AI: Where Your Budget Is Really Going
AI Adoption

The Hidden Costs of AI: Where Your Budget Is Really Going

AI adoption is surging—72% of global enterprises are now using AI, up from just 50% last year. But with that momentum comes a wake-up call: AI is ...

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