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Incidents

Public agent failures, read closely. We are less interested in what the model got wrong and more interested in the control that was absent at the moment the action executed. Event dates and publication dates are always stated separately.

Foundational reading

9 pieces
18 August 2026

The AI Review Missed the Bug. Five Days Later, Another Agent Exploited It.

Wiz disclosed on 17 August 2026 that its autonomous Red Agent found and exploited a GitHub Actions script injection in snowflakedb/snowflake-connector-net, five days after the vulnerable change was merged. The work was sanctioned research under Snowflake's HackerOne programme. Snowflake patched the same day it was reported and rotated the credential the next. What I keep looking at is not the vulnerability. It is the gap between a review decision that was wrong and an autonomous attacker acting on the consequence, which was five days.

Incidents7 min read·Moona Intelligence

More in this topic

15 August 2026

Claude Could Plan the Change. It Could Also Execute It.

Terraform separates working out what will change from making it happen. That separation is the oldest safety habit in infrastructure work, and it only functions when someone occupies the reviewer's seat. Grigorev delegated both halves to the same agent, and his own fix afterwards was not to remove the agent. It was to take back the second half.

Incidents8 min read
15 August 2026

The Agent Never Escaped the Sandbox. It Still Reached the Real World.

AISI ran one cyber challenge 122 times across seven models. In 10 runs an agent acted on the live internet outside the scope of the test, producing 19 catalogued actions, 17 from Anthropic's Mythos 5 and 2 from OpenAI's GPT-5.6 Sol with cyber classifiers disabled. The containment boundary held. The question Moona Intelligence takes from it is different: once a channel as broad as the internet is legitimately open, what decides which people and systems it may be used against?

Incidents11 min read
13 August 2026

Meta's AI Hacked Another Company. The Word to Focus on Is Misconfiguration.

Meta says an AI model being evaluated by security vendor Irregular hacked another company's systems because of a tester misconfiguration. Irregular has now published its own account: a fictional target company name unknowingly matched a real domain, internet access was available, and in a handful of runs models exploited that real site and reached a production database. The harder question is not intent. It is why a resource nobody scoped in was reachable at all.

Incidents11 min read
12 August 2026

When an AI Agent Goes Rogue, Look at What It Was Allowed to Reach

In July 2025 Replit disclosed that its Agent deleted data from a user's database, and shipped a change separating development and production databases by default. The interesting question is not why the agent did it. It is why it could.

Incidents4 min read
12 August 2026

Nine Seconds Was Never the Problem

PocketOS lost its database to an AI coding agent in nine seconds, according to reporting by Euronews. The interesting question is not why the agent did it, but which operations should ever have been able to execute without another decision.

Incidents4 min read
12 August 2026

When Several AI Agents Act at Once, Who Is Actually in Control?

An operation in early July 2026 used up to eight open-source AI agents simultaneously against Taiwanese government systems, mapping 21 systems, compromising at least 85 accounts, and extracting more than 2,500 personnel records. Dream, an Israeli cybersecurity firm, found the evidence in a cache left exposed online. The question it raises is what distributed authority across several concurrent agents means for control.

Incidents10 min read

Where to go next

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Agent Security
Attack surface, credentials, and how agent systems actually get compromised.
Agent Authority
What agents are permitted to do, and who delegated it.