Security & Governance
Articles about Security & Governance, with practical notes on AI-written enterprise software, governed data, application development, and agent workflows.
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PublishedPower Platform Lock-In: Dataverse, Azure, and the Self-Host Tradeoff
Power Platform is already inside the Microsoft tenant, but self-hosting, Dataverse export, AI usage pricing, and sovereignty requirements matter for long-running systems.
Security & Governance IT Leaders Power PlatformPower AppsDataverseSelf-HostingData Sovereignty -
PublishedIs Lovable Safe for Production? The Access-Control Review Problem
Lovable can turn a sentence into a full-stack app, but production data depends on access control the accountable builder must be able to inspect, understand, and approve.
Security & Governance Developers LovableVibe CodingSecurityAccess ControlAI-Native -
PublishedOpen vs. Closed Enterprise Ontologies: Who Owns the Business Semantic Layer?
Microsoft, Google, and Palantir are each building enterprise semantic layers. The risk is fragmentation: your customer, order, and device definitions split across platforms.
Security & Governance Business Leaders Enterprise OntologySemantic LayerPalantirMicrosoft FabricOpen ProtocolPerspective -
PublishedEU AI Act Audit Readiness: Can Your AI Runtime Produce Evidence?
When an auditor asks for the full record of one AI decision, model quality is not enough. Your runtime must show authorization, evidence, oversight, and audit history.
Security & Governance IT Leaders EU AI ActCADAComplianceData SovereigntySelf-hostedAI Governance -
PublishedAI Agent Pricing: Per-Action Billing vs. Self-Hosted Runtime Cost
At $0.10 per Agentforce action, a successful agent can make usage-based pricing rise quickly. Compare per-action billing with a self-hosted runtime before you scale.
Security & Governance Business Leaders CostROIPer-Action BillingSelf-hostedAgentforcePerspective -
PublishedEnterprise AI Ontology: Why the Semantic Layer Should Be an Open Protocol
Palantir proved that AI needs a governed semantic layer to enter the enterprise. As AI writes software and agents choose the stack, it is time to rethink which layer should be open.
Security & Governance Business Leaders OntologyPalantirAI GovernanceOpen ProtocolPerspective -
PublishedSelf-Hosted AI Application Platforms: Why the Runtime Belongs to You
Once AI reads business data, triggers workflows, generates applications, and calls tools, enterprises need control over the runtime that governs objects, permissions, tools, approvals, and audit evidence.
Security & Governance IT Leaders Self-hostedPrivate DeploymentData SecurityAI Governance -
PublishedHow AI Agents Stay Inside Enterprise Permission Boundaries
Enterprise teams do not need AI agents to become unrestricted administrators. They need agents that act as controlled users, inherit permissions, route risky actions for approval, and leave an audit trail.
Security & Governance IT Leaders AI AgentPermissionsData SecurityAudit