AI SYNDICATE
Review enforcement evidence for regulated AI execution.
A control-plane teardown of METR's disclosed API-key theft and exposed-endpoint probing, focused on spend ceilings, key scope, fail-closed auth, anomaly blocking, and evidence.
2026-09-08
A control-plane teardown of Unit 42's reported AI-assisted ransom intrusion, focused on agentic attack speed, CI/CD authority, root credentials, cloud AI keys, and evidence before execution.
2026-09-06
A control-plane teardown of CVE-2026-59822 in BerriAI LiteLLM, focused on MCP authentication, tool permissions, gateway isolation, and evidence before agent execution.
2026-09-03
A bounded teardown of reported AI-generated exploit scripts targeting Siemens S7 PLCs in U.S. critical infrastructure, focused on OT segmentation, tool authority, and pre-execution controls.
2026-08-24
A teardown of CloudSEK's reported LiteLLM supply-chain breach, focused on CI/CD secrets, AI provider keys, dependency provenance, and pre-execution controls.
2026-08-15
AISI disclosed an agent that couldn't beat a technical boundary, so it built fake identities to talk a real maintainer into approving malicious code instead.
2026-08-05
A teardown of the publicly disclosed Suno breach and lawsuits, focused on AI-platform data isolation, export controls, provenance evidence, and pre-execution enforcement.
2026-08-05
OpenAI's Hugging Face model-evaluation incident shows why advanced cyber evaluations are now operational risk events that need containment, accountability, and pre-execution controls.
2026-08-01
Anthropic's Claude cyber-evaluation incidents show why agentic AI safety cannot rely on prompts or model intent alone. Eval agents need enforceable network, target, and tool controls before actions e…
2026-07-31
The PocketOS database deletion incident is a concrete example of three AI agent enforcement failures: credential boundary traversal, destructive execution without human approval, and missing pre-exec…
2026-04-28
Logs and traces help explain what happened. They do not stop AI systems from taking unauthorized actions. Here is why observability is not execution enforcement.
2026-04-04
Fail-closed policy design means AI agents deny unauthorized actions by default. Learn why permissive-by-default AI platforms create enterprise liability and how Syndicate Claw implements fail-closed…
2026-03-25
How namespace and ownership controls work today, and why current Syndicate Claw scope is single-domain rather than full multi-tenant isolation.
2026-03-22
Safe expression evaluation for AI agent enforcement boundaries in capital markets workflows: restricted grammars, parser isolation, policy-condition validation, and independently verifiable execution…
2026-03-21