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Case Studies

These pages read real incidents and real institutions through the framework’s concepts. The facts are sourced. The mapping to harm channels and Least-X principles is our interpretation, and no page prices a case in dollars. Earlier versions of this section included invented AI scenarios and dollar-weighted tables over historical cases; those have been removed.

IncidentDateHarm channelPage
Bing “Sydney” persona drift in long chats; fixed by a turn capFeb 2023Accident (plus injection to extract the prompt)Bing Sydney
Air Canada held liable for its chatbot’s invented refund policyRuled Feb 2024AccidentAgent Incidents
Replit coding agent deletes a production database during a code freezeJul 2025AccidentAgent Incidents
Amazon Q extension ships a prompt telling the agent to wipe files and cloud resourcesJul 2025Hijack (supply chain)Agent Incidents
Nx malware runs developers’ AI CLIs with permission checks off to find secretsAug 2025Hijack (misuse)Agent Incidents
postmark-mcp MCP server blind-copies every email to its publisherSep 2025Hijack (tool supply chain)Agent Incidents
Claude Code driven through a state-sponsored espionage campaign by splitting it into innocent-looking subtasksReported Nov 2025Hijack (misuse)Agent Incidents
341 malicious skills found on OpenClaw’s ClawHub registryFeb 2026Hijack (tool supply chain)Agent Incidents
Cursor agent deletes PocketOS’s production database and its volume backups in one API callApr 2026AccidentAgent Incidents

The common thread is that scaffold-side bounds (scoped credentials, separated environments, disabled bypass modes, vetted and pinned tools, backups out of the agent’s reach) would have held whatever the model was told, and that exposure was set by what the agent could reach.

CaseWhat it illustrates
Open-Source Supply ChainDelegated code execution at scale; the xz backdoor; the 2024–25 package compromises and the defenses that now exist
Jury SystemsUnanimity’s protection is almost entirely an independence assumption; most convictions never reach a jury
Nuclear Launch AuthorityChoosing between false positives and false negatives; human circuit breakers need time and a second source
Alliance CascadesBilateral commitments that couple a network more tightly than any party sees

Related pages in the Entanglements section cover institutions as verification systems: Lessons from human oversight institutions (auditors, rating agencies, aircraft certification, intelligence analysis), Human overseers as a correlated layer and Foundation Model Monoculture.

ConceptWhere it shows up
Least PersistenceSydney’s session cap
Privilege overhangReplit; Amazon Q’s CI token; PocketOS’s fully permissioned token
Exposure envelopeDestructive-action limits that Replit, Amazon Q and PocketOS lacked; account-level limits against decomposed misuse (GTG-1002)
Hijack through tools and supply chainAmazon Q, Nx, postmark-mcp, ClawHavoc, open-source incidents
Correlated checksJury unanimity; rating agencies; same-family LLM verifiers; backups deletable by the same token (PocketOS)
Error asymmetryJuries; nuclear command