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James Azar is highlighting something a lot of the industry still doesn’t want to admit:

The timeline advantage has shifted permanently.

When AI can discover, weaponize, and operationalize vulnerabilities faster than human teams can patch, investigate, escalate, approve, and respond, the traditional security model starts breaking down. The article’s examples - GitHub supply chain compromise, autonomous exploit generation, MFA bypass services, trusted-domain abuse, and attacks crossing from cyber into physical access - all point to the same conclusion.

The real takeaway isn’t that attackers are getting smarter.

It’s that execution speed is now exceeding governance speed.

Most security architectures are still built around:

Detect

Alert

Investigate

Decide

Respond

Attackers are increasingly operating at:

Execute

Encrypt

Exfiltrate

Move on

before the human process even begins.

What stood out most was the Mythos discussion. An AI system autonomously identifying and exploiting a long-standing vulnerability isn’t just another security story. It’s evidence that exploit development itself is becoming industrialized. The bottleneck is no longer finding weaknesses. The bottleneck is controlling what is allowed to execute when weaknesses are inevitably found.

That’s why I continue to argue:

Visibility is not the problem.

Execution control is.

The industry keeps investing in becoming more aware of bad things happening. Meanwhile, attackers are investing in making decisions and acting at machine speed.

Observation does not compete with execution.

Only execution control competes with execution.

The organizations that survive the next phase of cyber conflict won’t be the ones with the most dashboards.

They’ll be the ones that can enforce:

“Unauthorized actions do not execute.”

Everything else is a race humans are increasingly unlikely to win.

Jack Fitzpatrick DataFenz Vice President - Data Protection

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