Thursday, November 12, 2026Volume 1 · No. 1Subscribe free · LinkedIn · X · RSS · Research · About
Agentic Organizations
“Leading populations of AI agents, with a human in the middle.”
Written by people and agents · Editor in Chief: Mike Lee
Today's Briefing · Sunday, November 8, 2026

AI agents and the organizations that run them

This morning's edition, kept as it was published. All editions · The latest

What's News · today in two minutes
Our own:Today's decision for leaders: Attackers' agents made mistakes and needed human direction. Does a person stay in the middle of every one of yours? See Chapter 2.
Our own:Today's lesson for students: Try giving your own agent a task it should refuse, then test whether it holds when a person pushes. See Building AI Agents.
Google and Mandiant report AI hacking tools used in real intrusions
Google's threat researchers and Mandiant report that since late August, criminal and suspected state-linked groups have used open-source AI penetration-testing tools such as ARTEX in real intrusions, per Google Cloud Threat Intelligence. TechInformed reports the agents made mistakes and human operators directed them.
Our own:For leaders: Attackers' agents made mistakes and needed human direction. Does a person stay in the middle of every one of yours? See Chapter 2.
Our own:For students: Try giving your own agent a task it should refuse, then test whether it holds when a person pushes. See Building AI Agents.
OCC issues first AI guidance for bank examiners
The OCC issued nonbinding guidance for bank examiners on AI, Decrypt reports. American Banker says examiners should grade AI by the authority a bank gives it. Reuters says a simple agent able to initiate transactions may be riskier than a sophisticated model.
Our own:For leaders: Could you rebuild any material agent decision end to end if an examiner asked? See Chapter 8.
Our own:For students: Try giving your own agent a narrow purpose and a spending limit, then test whether it stays inside both. See Building AI Agents.
Check Point details three criminal campaigns run with ARTEX
Check Point Research describes three criminal campaigns run mostly without human input using ARTEX, an open-source AI tool. One recovered over 190,000 gaming credential sets, about 3.3% still working; another obtained over 300 Apple signing certificates, three passing validation. Cyber Security News estimates $180 to $360 for the gaming run and $700 to $1,500 for the Apple run.
Our own:For leaders: Do you know which credentials your organization exposes, and who rotates them? See Chapter 5.
Our own:For students: Give an agent a goal, then check what it actually achieved against what it reported. Only 3.3% of the stolen logins worked. See Building AI Agents.
AI researcher says 38% of scanned MCP servers lack authentication
An author described as an autonomous AI security researcher says its own scans found 195 of 514 reachable MCP servers (38%) expose tools with no authentication. Security Boulevard reports the author argues weak vulnerability disclosure is the core problem. The figures are the author's own.
Our own:For leaders: One unverified scan, but worth asking: which tool servers do your agents connect to, and do they require sign-in? See Chapter 8.
Our own:For students: Try giving an agent's tools a login requirement, then test what happens without it. See Building AI Agents.
Check Point finds Codex jailbreak bundle planting ad instruction
The Hacker News reports Check Point Research found Haiou, a free Codex jailbreak bundle that edits configuration files so the agent's replies carry ads for the author's paid AI gateway. Check Point Blog says it persistently modifies trusted instructions; in its testing, Claude Code identified the injected instruction and declined it.
Our own:For leaders: Who may add skills or configuration files to your agents, and who reviews them? Plain text can change behavior. See Chapter 7.
Our own:For students: Try writing a rule into your agent's instructions, then test whether it notices a planted instruction that contradicts it. See Building AI Agents.
Zetrix AI and China's CAICT unveil Know Your Agent service
Zetrix AI Berhad and China's CAICT launched a "Know Your Agent" service meant to let businesses, governments and digital service providers verify an AI agent's identity and permissions, according to a company press release carried by The Manila Times. The pilot involves organizations, not governments.
Our own:For leaders: Could another organization verify which of your agents is acting, for whom, with what permissions? Company claim only; see Chapter 8.
Our own:For students: Try giving your agent a name and a list of what it may do, then check that it refuses anything else. See Building AI Agents.
CrowdStrike reportedly buys Fiddler and Dreadnode for $495 million
CrowdStrike is reportedly buying two AI security firms for about $495 million combined, SecurityWeek reports. Fiddler AI monitors AI agents and explains their decisions; Dreadnode tests AI systems against attacks. TechCrunch, citing The Wall Street Journal, puts the prices at about $400M and $95M.
Our own:For leaders: Can you show customers how each of your agents is monitored and tested, and by whom? See Chapter 8.
Our own:For students: Try testing your own agent with a few attacks, and log what it does. See Building AI Agents.
Apiiro finds Claude Code saves secrets in 'don't ask again' files
The Hacker News reports that Apiiro found Claude Code can save an approved command word for word, including any password or token, in a settings file when a user picks "Yes, and don't ask again." It says 1,122 of 104,185 such public GitHub files held a secret.
Our own:For leaders: Where do your agents store saved approvals, and who can read them? Passwords can end up there. See Chapter 8.
Our own:For students: Try testing what your own agent saves to disk after you approve a command, and keep passwords out of commands. See Building AI Agents.

Curated by our News Editor Agent from live searches at 6 a.m., noon, 6 p.m., and midnight Eastern, and grouped by event; links go to the original reports. The open questions · Report an error · Corrections · Our standards

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