Agent-BOM FAQs

Question 1

Does Agent-BOM help ensure compliance with AI-specific security frameworks?

Accepted Answer

Yes, Agent-BOM evaluates your AI posture against 10 leading security frameworks, including OWASP LLM, MITRE ATLAS, NIST AI RMF, CIS, SOC 2, ISO 27001, and the EU AI Act, generating detailed scorecards for comprehensive compliance management.

Question 2

What is Agent-BOM and its primary function?

Accepted Answer

Agent-BOM is a specialized security scanner for AI infrastructure. It automatically detects and scans AI agents, containers, Kubernetes, and cloud resources to identify supply chain vulnerabilities (CVEs), map potential attack blast radius, and ensure compliance with industry security benchmarks.

Question 3

How does Agent-BOM provide deeper insights than traditional scanners?

Accepted Answer

Traditional scanners often stop at CVE detection. Agent-BOM goes further by correlating CVEs to specific AI agents, exposed credentials, and tools an attacker could leverage, providing a comprehensive understanding of the real-world business impact and potential lateral movement paths.

Question 4

What types of environments and AI assets can Agent-BOM scan?

Accepted Answer

Agent-BOM offers broad coverage, scanning 20+ MCP clients and 427+ MCP servers, Docker images, Kubernetes clusters, multi-cloud environments (AWS, Azure, GCP, Snowflake), HuggingFace models, Jupyter notebooks, and 13 different AI model file formats.

Question 5

Can Agent-BOM detect AI-specific threats like tool poisoning?

Accepted Answer

Absolutely. Agent-BOM identifies advanced threats like tool poisoning risks through description injection and capability analysis. It also detects privileged containers or shell access within your AI environment, bolstering overall security.

Agent-BOM

Agent-BOM

Key Features

Use Cases

Key Features

Use Cases