AI security

The AI Contract Is Part of the Architecture: 12 Clauses CIOs Need Before Agentic Scale

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TL;DR An enterprise can build prompt filters, model gateways, audit pipelines, fallback providers, cost controls, and kill switches, yet still be exposed if its AI vendor agreement permits broad data reuse, silent model replacement, opaque subprocessors, weak evidence access, unpredictable pricing, or an unusable exit process. The AI contract is therefore part of the architecture. … Explore: The AI Contract Is Part of the Architecture:…

The Board-Level AI Readiness Scorecard: 12 Questions CEOs Should Ask Before Approving Enterprise Scale

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TL;DR Boards should not approve “AI at scale” as a broad technology initiative. They should approve a bounded portfolio of AI use cases with measurable value, named owners, governed data, production-ready architecture, constrained authority, tested controls, workforce readiness, and a credible exit path. This scorecard gives CEOs and boards 12 questions to ask before enterprise … Explore: The Board-Level AI Readiness Scorecard: 12 Questions CEOs…

The Shadow AI Beneath the Surface: Finding Unsanctioned Agents Before They Bite

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TL;DR Shadow AI is not merely unapproved software. An unsanctioned agent, copilot, script, or autonomous workflow can authenticate as a machine identity, call a model provider, read enterprise data, invoke tools, modify systems, and create spend without appearing in a centralized AI inventory. The practical discovery method is evidence correlation. Start with model-provider traffic, provider … Explore: The Shadow AI Beneath the Surface: Finding Unsanctioned…