Resistance Is Signal: Navigating the Human Side of AI-Accelerated Modernization
Traditional change management assumed the fear was overblown. AI-accelerated modernization makes the fear correct. The CTOs who get this right keep their team.
Tag: AI Governance
18 articles tagged with "AI Governance"
Where AI Governance Meets Platform Modernization
AI governance treated as compliance documentation fails when modernization runs on AI tooling. The concept that matters is decision auditability.
The AI Governance Market Landscape
Machine identities outnumber humans 82 to 1 in the average enterprise. Most are ungoverned. Here's the market, mapped by governance layer.
The Agent You Don't Know About
Every layer of your AI governance stack assumes the agent is visible. Shadow AI breaks that assumption. Discovery is the precondition for governance.
Nine Seconds Wasn't an AI Failure
An AI agent deleted a production database in nine seconds. The headlines blamed the agent. The actual failure was discipline that's existed for thirty years.
Proving What Happened
Logs tell you what happened. Audit trails tell you why — and whether it should have. Most organizations have one but not the other.
The Single Chokepoint
Agent gateways are the control plane for the digital workforce. Enterprises solved multi-vendor visibility before — the same pattern is forming again.
Your Agent Pipeline Isn't a Pipeline
Platforms made it easy to build a first agent. Nobody has solved how to run one in production with the same discipline we apply to software.
Your Agents Are Software. Treat Them Like It.
Every organization has change management discipline for software. Few apply it to AI agents. That gap is showing up in audits and due diligence.
Your Phishing Training Doesn't Cover This
Your phishing training doesn't cover this new attack surface. It looks like productivity. And your security posture was never built to catch it.
AI Watching AI
At scale, humans can't review every agent interaction. The case for guardian agents — and why AI overseeing AI is uncomfortable but probably inevitable.
Built Secure, Deployed Dangerous
An agent built correctly can still drift into dangerous territory through misconfiguration. Most organizations have no way to detect it until something breaks.
Not Every Decision Needs a Human... But Some Do
Most AI agents run at whatever autonomy level was easiest to implement, not the one that reflects actual risk. Here's how to tell the difference.
The Agent Can Think. It Just Can't Get to the Data.
The biggest barrier to real AI automation isn't the model. It's connectivity. And the protocol solving it is creating your next governance problem.
Your Digital Workforce Has a Landlord
Thousands of AI agent workflows disrupted overnight — not because agents broke, but because a vendor changed its billing. That's a governance failure.
Every Agent Needs a Badge
Most organizations badge their contractors, track their access, and revoke it when they leave. They don't do any of it for AI agents. That gap is closing fast.
Your AI Strategy Is Only as Strong as Your Inventory
You can't govern, defend, or prove value from AI systems you can't account for. Why inventory is the first place enterprise AI governance gets real.
Who’s Actually Building AI Agents?
Building AI agents for production takes far more than good prompts. Real agent systems need tools, memory, error handling, and organizational trust.