Cisco AI Defense
Official@cisco-ai-defense
Open Source projects for the Cisco AI Defense community
Agent Skills by Cisco AI Defense
Showing 7 vetted skills indexed across 1 GitHub repositories.
simple-formatter
Normalize spacing, capitalize sentences, and enforce punctuation in text using Python's standard library.
eicar-test
Validate malware detection pipelines using a standard EICAR test file.
file-validator
Validate file extensions, MIME types, and safe path resolution.
simple-math
Perform arithmetic with standard Python operators without eval or exec.
safe-file-reader
Validate file paths and read files from a documents directory in Python.
safe-calculator
Evaluate mathematical expressions safely without executing arbitrary code.
data-analyzer
Identify patterns and compute basic statistics from Python data.
Frequently Asked Questions About Cisco AI Defense
FAQPage SchemaWhat specific security tasks does this registry enable?▼
This registry enables secure file path resolution, MIME type verification, and malware detection pipeline testing. It provides sandboxed arithmetic and text normalization primitives designed to prevent arbitrary code execution when processing untrusted user inputs in production environments.
Which technical personas benefit from these components?▼
Security engineers, backend developers, and infrastructure architects benefit from these components. They are specifically designed for teams building defensive layers around data ingestion points, ensuring that file handling and mathematical processing remain isolated from underlying system vulnerabilities.
What are the prerequisites for implementing these components?▼
Implementation requires a standard environment capable of executing core library functions. No external dependencies are required, as all components utilize native language primitives to ensure minimal attack surface and high portability across secure enterprise environments.