New Agentic AI Red Team Checklist Adds 222 Tests Across 20 Attack Categories

What happened?

A free agentic AI red-team checklist offers 222 tests across 20 attack categories to assess autonomous AI systems beyond prompt injection, covering infrastructure, cloud access, tools, memory, and agent communications. The checklist targets a common testing gap. Teams may spend days trying to manipulate a model while overlooking an exposed MLflow server, a reachable cloud metadata endpoint, or a missing customer-isolation filter. These weaknesses can expose credentials and private records without requiring a complex attack against the model itself.

Key details

• A free red-team checklist provides 222 tests across 20 attack categories for agentic AI systems.
• The checklist covers infrastructure, cloud access, tools, memory, and agent communications beyond prompt injection.
• Severity ratings assign 75 tests as Critical, 108 as High, 30 as Medium, and nine as Low.
• Highlighted cases include cloud credential theft via SSRF, unsafe pickle loading enabling RCE, and tool combinations enabling unauthorized data transfers.
• Evidence classification distinguishes reflective, blind, and out-of-band results with different confirmation levels.
• The spreadsheet maps tests to OWASP and MITRE ATLAS frameworks and avoids fixed CVE references.

Summarised by SecOraLens from Cyber Security News. Always read the original source before acting. How SecOraLens verifies advisories.