agent-bom runtime
AI Runtime Security Monitoring with Context Graph Analysis and CVE Correlation
Install & Use
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Help me install this AI Skill: agent-bom runtime. It is used for: AI Runtime Security Monitoring with Context Graph Analysis and CVE Correlation Full Skill content: https://321skill.com/skills/agent-bom-runtime-x-7/raw/index.md Read that page and install it.
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This Skill addresses the pain point of lacking security monitoring for AI agents during runtime. In practical development, after deploying AI agents, it is difficult to promptly detect lateral movement between agents, privilege abuse, or CVE exploitation. Traditional log analysis tools cannot comprehend agent context. The agent-bom runtime tackles this by constructing a context graph and correlating runtime audit logs with CVE discoveries, making security risks immediately clear.
Usage is straightforward: simply install the agent-bom package via pipx, then utilize its three core tools: context_graph to build and analyze agent context graphs for lateral movement, runtime_correlate to cross-reference audit log files with CVE data, and analytics_query to query vulnerability trends and historical events. You can then execute these analyses using natural language commands, such as "Analyze the context graph of the current agent" or "Correlate CVEs from the audit log."
It is ideal for operations teams and agent developers who need to ensure the security of their AI agents, especially organizations that have deployed multiple AI agents working in concert and require real-time runtime behavior monitoring with rapid vulnerability response. For Kubernetes environments, optional kubectl support enables further integration with container context.
It is recommended to enable runtime monitoring immediately after AI agent deployment and regularly export audit logs for correlation analysis. Note that it primarily operates on in-memory scan results and user-provided audit log files in JSONL format; it does not automatically discover files or initiate network requests unless the user actively configures the optional ClickHouse endpoint for persistent analytical storage.
Key Features
Unlike traditional security monitoring tools like Splunk, agent-bom is specifically designed for AI agent runtime. It automatically discovers lateral movement between agents through context graph analysis and directly correlates with CVE databases, eliminating the need for manual configuration of complex log rules or threat intelligence feeds.
Limitations
Requires Python 3.11+. Performance is memory-bound when processing large-scale audit logs. Optional dependencies include kubectl (for Kubernetes context) and ClickHouse (for analytical storage), but they are not mandatory.
FAQ
How do I install the agent-bom runtime?
Simply use `pipx install agent-bom` or `pip install agent-bom`. No API key is required.
Which operating systems are supported?
macOS, Linux, and Windows are supported.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-bom-runtime-x-7/raw/index.md to read the original Skill definition (Markdown format) for agent-bom runtime, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-bom-runtime-x-7/raw/index.md