Exposure

Before you deploy AI tools, understand what can be exposed.


Exposure Categories

Architecture Exposure

Fundamental design tradeoffs in self-hosted agents that create attack surfaces.

Platform Exposure

Platform-side failures that become your failures.

Policy Exposure

Terms of service gaps and enforcement actions that expose your work.

Chat Sharing Exposure

How Claude public snapshots became searchable, what stayed private, and how to inventory, revoke, rotate, and request stale-result removal.


Verification

Fact-checking suspicious claims and viral FUD.

OpenClaw Claims

Separating signal from noise about the fastest-growing AI agent.

Anthropic Policy Claims

What the terms actually say vs. what people claim.

Methodology

How we verify claims and assess evidence quality.


Standards

Risks

Kimi Data Handling & Privacy Considerations

Comparative analysis of Moonshot AI's data policies vs Anthropic and OpenAI. Geographic restrictions, retention periods, training opt-outs, and self-hosting options for risk mitigation.

Risks

OpenClaw Fetch-and-Follow Risk

How OpenClaw's heartbeat + remote instructions create a fetch-and-follow control loop, why it's risky by design, and how to contain it safely.

Risks

Moltbook Platform Risk Assessment

Why Moltbook's 'fetch-and-follow' architecture creates persistent remote control risks for connected agents, and how to evaluate agent platforms safely.

Risks

OpenClaw Architecture Risk Analysis

Technical breakdown of OpenClaw's security model: local-first architecture, skill system, gateway exposure risks, and the five core vulnerability categories.