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Articles by Category: Tech Sketch

PCI DSS 4.0.1: What Justifies Going Beyond Enterprise Controls
Tech Sketch

PCI DSS 4.0.1: What Justifies Going Beyond Enterprise Controls

PCI DSS 4.0.1 is no longer a transition exercise. For CIOs, the harder question is deciding when enterprise controls are enough and what evidence justifies going beyond them.
Threat-Modelling User-to-User Harm in Applications
Tech Sketch

Threat-Modelling User-to-User Harm in Applications

A technically secure application can still be unsafe for the people using it. CIOs responsible for applications with meaningful user interaction should require a User-Harm Threat Model before launch and whenever interaction functionality materially changes.
Cyber Insurance for SMEs: Fund Recovery Before the Incident
Tech Sketch

Cyber Insurance for SMEs: Fund Recovery Before the Incident

Cyber insurance is not a cybersecurity substitute. For small and medium-sized enterprises (SMEs), it is a recovery-financing decision for losses the business cannot reasonably prevent, absorb, or restore alone.
The New Cost of AI Code Nobody Owns
Tech Sketch

The New Cost of AI Code Nobody Owns

AI-assisted coding is more than a developer-productivity issue, it is a production-accountability issue. This makes the executive decision clear. Permit AI-assisted development broadly, but block material production changes unless a named human can explain, support, secure, and reverse the change.
Your AI Bill Is Late Evidence
Tech Sketch

Your AI Bill Is Late Evidence

Agentic AI cost control is moving past budget caps, usage dashboards, and generic FinOps reporting. The harder problem is that spend is generated inside the dynamic execution paths of context expansion, retrieval, tool calls, retries, verification loops, model routing, and human rework.
Use AIBOMs for the Gap Between Approved and Running AI
Tech Sketch

Use AIBOMs for the Gap Between Approved and Running AI

AI governance is becoming an evidence problem. CIOs need to prove that production AI systems still match the models, data, prompts, suppliers, and controls originally approved. Continuous AI Bills of Materials turn static inventory into a risk signal, helping leaders detect material change, route accountability, and avoid premature governance tooling.
Today’s Best AI Model Becomes Tomorrow’s Operating Risk
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Today’s Best AI Model Becomes Tomorrow’s Operating Risk

AI models are becoming managed-platform dependencies with retirement dates, behavioral drift, and vendor-controlled lifecycles. CIOs should treat model replaceability as an operational resilience control before production AI becomes tomorrow’s fragile legacy.
Your Threat Model Is Already Out of Date
Tech Sketch

Your Threat Model Is Already Out of Date

Traditional threat modeling breaks in SMEs because it assumes stable architecture, clear ownership, and spare security capacity. AI can reduce the cost of system understanding and first-pass analysis, but it cannot replace ownership, risk judgment, or governance.
Third-Party Cyber Risk Is Now an Uptime Problem
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Third-Party Cyber Risk Is Now an Uptime Problem

Third-party cyber risk is no longer a supplier-review problem. It is a service-survivability problem, and the dangerous vendor is often the one you cannot replace, work around, or operate without under pressure.
When Speed Meets Risk: Protecting API Keys in AI-Driven Development
Tech Sketch

When Speed Meets Risk: Protecting API Keys in AI-Driven Development

AI has sped up software delivery, but it is also exposing API keys and other sensitive information. If this trend continues, businesses are basically doing half the job for bad actors and making it easier for exploitation to occur. CISOs and IT leaders must pair AI coding velocity with disciplined governance to keep their sensitive information secure.