Skip to main content

Enterprise-grade security analysis core engine

Project description

CodeSecure Core SDK

The fundamental engine powering AI-native security analysis.

CodeSecure Core provides the underlying logic for multi-scanner orchestration, AI-powered remediation, and security audit logging.

Installation

pip install codesecure-core

Getting Started

from codesecure.core.engine import ScanEngine
from codesecure.ai_providers import AIManager

# Initialize engine with default scanners
engine = ScanEngine(scanners=['bandit', 'semgrep'])

# Run analysis
findings = engine.scan_file("insecure.py")

for finding in findings:
    print(f"[{finding.severity}] {finding.title}: {finding.description}")

Requirements

  • Python 3.9+
  • Security Scanners (Bandit, Semgrep, etc.) installed on PATH.

License

MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

codesecure_core-1.0.13-py3-none-any.whl (118.8 kB view details)

Uploaded Python 3

File details

Details for the file codesecure_core-1.0.13-py3-none-any.whl.

File metadata

File hashes

Hashes for codesecure_core-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 6bc87f75f3350ecaa6cd7c0229ec1440f7a7c7c87602b7659249780056bd5488
MD5 a9f2a73c8e8e354d5a1949f4dd00b8ef
BLAKE2b-256 174424a47f7275a52a83beca03a61f44250e00e9bd7b09756b7dcf2c9c616c91

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page