AlpacaX

The AlpacaX blog—security, product thinking, and what we're learning as we build AI agent execution control.

The model you approved isn't the model running today

Insights

The model you approved isn't the model running today

Unless you're pinned to a fixed snapshot, a vendor retrain can land on their schedule, after your sign-off.

Jungyeon Lee
Jungyeon LeeContent Marketer · 15 October 2026
Loopjacking: what you approved isn't what ran

Insights

Loopjacking: what you approved isn't what ran

A researcher reproduced the bypass in tested setups across three released agent frameworks.

Marco Kwak
Marco KwakHead of GTM · 14 October 2026
What is agentic AI? The definition that actually holds up

Insights

What is agentic AI? The definition that actually holds up

The three properties that define agentic AI are why the label keeps getting abused.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 12 October 2026
What AI agent access control actually has to check

Insights

What AI agent access control actually has to check

A support bot's admin tools got exploited—not by tricking the model, but by exploiting the access model.

Marco Kwak
Marco KwakHead of GTM · 6 October 2026
Inside JadePuffer, the first documented AI agent ransomware attack

Incident

Inside JadePuffer, the first documented AI agent ransomware attack

A human picked the target. Everything after that was the agent's own call—twice, three weeks apart.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 5 October 2026
A human caught the AI agent. That's not a control you can rely on

Incident

A human caught the AI agent. That's not a control you can rely on

UK AISI's report: human vigilance held. A technical barrier that would reliably hold was never there.

Marco Kwak
Marco KwakHead of GTM · 24 September 2026
AI agent framework harvested thousands of credentials in under 6 hours

Incident

AI agent framework harvested thousands of credentials in under 6 hours

The framework did nothing a skilled attacker couldn't. It just ran without waiting for a human decision.

Jungyeon Lee
Jungyeon LeeContent Marketer · 23 September 2026
Bank regulators wrote AI agents out of model-risk review

Insights

Bank regulators wrote AI agents out of model-risk review

SR 26-2 excludes agentic AI from formal bank model-risk scope, leaving runtime governance to each bank's own risk program.

Marco Kwak
Marco KwakHead of GTM · 22 September 2026
AI vendor questionnaire checklist: 6 runtime questions to score

Insights

AI vendor questionnaire checklist: 6 runtime questions to score

The six runtime questions to run this week, scored so a failure can't average into an approve.

Marco Kwak
Marco KwakHead of GTM · 11 September 2026
AI agent governance means more than access control

Insights

AI agent governance means more than access control

Most AI-native PAM covers who gets access. Governance also has to judge what happens next.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 10 September 2026
Why AI governance pilots don't survive scale

Insights

Why AI governance pilots don't survive scale

The policy wasn't wrong. It just wasn't sized for agents your other teams stood up without telling you.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 7 September 2026
EU AI Act high-risk deadline moved to 2027. What didn't?

Insights

EU AI Act high-risk deadline moved to 2027. What didn't?

Article 50 stayed in force. Two new bans arrive in December. Only the classification clock moved—to 2027.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 26 August 2026
ISO 42001 Stage 1 checklist: the documentation to have ready before your audit

Insights

ISO 42001 Stage 1 checklist: the documentation to have ready before your audit

Stage 1 is a documentation and readiness review—the part of ISO 42001 you can actually prepare for in advance. Here's what an auditor expects on the table before Stage 2.

Marco Kwak
Marco KwakHead of GTM · 13 August 2026
Alignment isn't enough: containing a misaligned agent's actions takes runtime execution control

Incident

Alignment isn't enough: containing a misaligned agent's actions takes runtime execution control

Model-level alignment lowers the odds an agent misbehaves. It can't drive the odds to zero once the agent is running on real infrastructure.

Jungyeon Lee
Jungyeon LeeContent Marketer · 12 August 2026
AI governance on paper vs. governance during the task

Insights

AI governance on paper vs. governance during the task

A near-miss doesn't change your policy. It changes the question leadership asks about it.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 11 August 2026
JIT access control is for humans. What should we have for AI agents?

Insights

JIT access control is for humans. What should we have for AI agents?

Just-in-time access governs whether an agent gets in, and when. It says nothing about what the agent does once inside.

Eunyoung Jeong
Eunyoung JeongFounder & CEO · 14 July 2026
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