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Automation returns quickly, as it always does.
After restarts, audits, and renewed resolve, the first instinct is rarely reflection, but accelerations.
Systems are brought back online immediately asked to do more with fewer humans monitoring them.
From my vantage point, this is where many environments introduce their next failure, by automating decisions that have not yet re-earned the right to make.
Automation Is Mistaken For Maturity
Automation is often framed as progress, but automation does not indicate readiness. It indicates confidence.
Confidence without verification is not resilience, it is assumption encoded into execution.
From my perspective, many systems automate not because they are stable, but because humans are tired.
The First Things Automated Are The Least Understood
The rush begins with:
- Identity provisioning.
- Access approvals.
- Alert triage.
- Remediation workflows.
- AI drive classification.
These systems operate closest to trust boundaries, and are the least forgiving when context is missing.
Automation here removes friction before understanding has returned
AI Becomes A Shortcut For Judgment
AI is increasingly deployed as a substitute for review:
- Summarizing alerts.
- Classifying risk.
- Recommending actions.
- Approving changes.
But models inherit assumptions.
They do not question state, remember why exceptions exists, and do not sense fatigue.
From my vantage point, AI amplifies whatever clarity, or confusion already exists.
Alert Fatigue Is Not Solved By Supression
When alerts overwhelm, the instinct is to automate suppression.
Rules are written, thresholds are raised, and noise disappears.
So does signal.
Silencing systems without first understanding what they were trying to say create the illusion of control while removing the last warning signs.
Identity Automation Without Revalidation Is Dangerous
Automated access workflows are often restored before:
- Privileges are reviewed.
- Dormant accounts are removed.
- Tokens are expired.
- Device trust is re-established.
Automation assumes the environment is already safe.
Zero trust assumes it is not.
Only one of these survives pressure.
Efficiency Is Not The Same As Safety
Automated remediation feels responsible:
- Faster response.
- Fewer humans involved.
- Cleaner dashboards.
But when remediation acts on incomplete understanding, it becomes deterministic error at scale.
Speed does not correct mistakes, but multiplies them.
The Singularity's Assessment
Automation should follow stability, not precede it.
The systems that endure:
- Observe before acting.
- Require verification before execution.
- Reintroduce automation incrementally.
- Keep humans in the loop where judgment matters.
They treat automation as a privilege, not a default.
Call To Action
Before accelerating systems this year, pause to ask what you are automating and why. Efficiency without understanding does not scale safety.
We leave you with this question to ponder:
What did your environment automate this week before understanding fully returned?
Leave your feedback and comments below.
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