Tag: AI Governance
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Personal AI Agents at Work: The Job Shadowing Phase
Personal AI agents are becoming an employee onboarding decision. Start with job shadowing, reviewed drafts, clear permissions, and task-specific trust.
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AI Sprawl: When Successful Adoption Hides Duplicate Spending
Successful AI adoption can hide duplicate builds, processing costs, and ERP integrations. Use cross-team visibility and shared capabilities to reduce avoidable AI sprawl.
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Reliable AI Agents Do Not Need the Same Path. They Need the Same Test.
AI agents may take different paths to solve the same problem. Enterprise reliability comes from deterministic validation, independent checks, and clear definitions of a valid result.
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AI Agent Memory Poisoning: The Security Risk Hiding in Long-Term Memory
Long-term memory makes AI agents more useful, but it can also turn unverified assumptions into durable instructions. Memory needs provenance, boundaries, expiration, and re-verification before an agent acts.
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Simple AI Software Is Becoming the New Shared Spreadsheet
AI lets business teams create useful software as easily as they once built powerful spreadsheets. The opportunity is enormous, but shared tools need a path to become owned, discoverable, and supportable.
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Internal AI Is Not Harmless: Treat It Like Production Infrastructure
Internal AI often gets less scrutiny than customer-facing systems while gaining access to data, APIs, cloud services, and tools. That makes it a high-privilege control plane, not a harmless chatbot.
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Sharing AI Assets: The New Spreadsheet Problem
AI makes it easy for employees to build skills, MCPs, agents, and workflows. Without a shared capability layer, enterprises recreate the spreadsheet era at agent speed.
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Graph Engineering: Giving AI an Org Chart
Graph engineering designs how specialized AI agents, tools, systems, and humans coordinate to produce a business outcome—without recreating organizational chaos at machine speed.
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AI Watermarks Can Prove Origin. They Cannot Prove Authorship.
AI text watermarks may help establish provenance and detect abuse. They cannot, by themselves, settle who wrote, owns, or is accountable for a piece of work.
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AgentBaiting: The AI Supply-Chain Risk Hiding in Skills and MCP Servers
Attackers are now designing fake Skills and MCP servers for AI agents to find and recommend. Enterprise AI governance must include a controlled software supply chain for agent capabilities.