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.


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.