Fangcun Observer

Runtime securityfor AI agents

Correlate agent tasks, tool calls, and risk events to monitor activity and analyze risks. Use verifiable execution records to trace behavior and support incident response.

Request early access
Fangcun Observer dashboard showing active agents, risk status, and call trends.
Fangcun Observer agent details showing the agent list, task safety scores, execution history, and tool-call records.

Agent security capabilities

  • Runtime monitoring

    Correlate tasks with execution records

  • System event stream

    Review file, command, and network events

  • Agent IAM

    Apply identity-based access policies

  • Agent Guard

    Check inputs and responses in connected workflows

  • Skill / MCP scanning

    Automate scans and link results to content versions

  • Fangcun AI assistant

    Assisted analysis; you decide whether to follow suggestions

  • Usage analytics

    Review token usage and calculated costs

  • Scheduled reports

    Daily, weekly, and monthly runtime summaries

  • Extension hub

    Browse optional extension resources

Safety models

Intuitive safety model

Direct safety assessment

Safety reasoning model

Step-by-step safety reasoning

Multimodal safety model

Safety assessment across input modalities

Skill and MCP scanning interface showing the Skill list, selected content, scan results, and identified risks.

SkillWardOpen source

A security scanner for Skills and MCPs. It combines static analysis and honeypot execution, using runtime evidence to identify and explain risks.

Malicious Skill detection F1
95.7%
MCP detection F1
94.29%
View on GitHub