Skip to main content

Enterprise-grade security analysis core engine

Project description

CodeSecure Core SDK

CodeSecure Logo 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-1.0.19-py3-none-any.whl (118.8 kB view details)

Uploaded Python 3

File details

Details for the file codesecure_core-1.0.19-py3-none-any.whl.

File metadata

File hashes

Hashes for codesecure_core-1.0.19-py3-none-any.whl
Algorithm Hash digest
SHA256 c39f497028af7375d67c7c229d6e3f5ff4bdaeba4a9278421f1acd9bd7df3496
MD5 2bab43a0b934b6a782e0e5747d1e0f3a
BLAKE2b-256 5355a4e070d0939dfb4b7ccc5c564a19a9b2571a49d219762e3f341cd0133fdc

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