Govern AI-Driven Software Development

Enable developers to safely use AI coding agents while enforcing security, compliance, software lineage, and supply chain integrity from intent to deployment.

Claude Code
Cursor
GitHub Copilot
Codex
Kiro
Learn How It Works
AI-SDLC Pipeline
Design
Generate
Validate
Deploy
Paradigm enforces security, governance, and lineage across every stage of code development.
Use Case

The AI-Driven Development Challenge

AI coding agents are accelerating software development across the enterprise.
Tools like Claude Code, Cursor, GitHub Copilot, Codex, and Kiro generate, modify, test, and review code at machine speed.
This creates new security and governance challenges:

Choosing Velocity over Security
AI generates code faster than teams can review it, allowing security flaws, insecure coding patterns, and technical debt to accumulate across repositories at unprecedented scale.
Loss of Software Provenance
Organizations lose visibility into how code was generated, which models and prompts were used, and what security evaluations occurred during development.
Ungoverned Agent Behavior
Coding agents can access repositories, tools, and enterprise systems without sufficient controls, increasing the risk of exposing secrets and unauthorized actions.
Security Validation After Generation
Most security controls operate after code is generated, leaving a governance gap during AI-assisted development.
Supply Chain Risk
AI-generated software can introduce untrusted packages, dependencies, and external code, creating software supply chain risk.
Secrets & Data Exposure
Coding agents can expose credentials, proprietary code, and sensitive enterprise data through prompts, repositories, and external tools.

Enterprises need governance, security, and observability across the AI software lifecycle,
not just security scans after code is generated and in the repo.

The Paradigm Approach

Runtime Governance Across the AI‑SDLC

Paradigm governs AI-generated software from intent and code generation through testing, deployment, and maintenance, enforcing security policies at every stage.

01
Agent & Intent Governance
  • Approved frameworks & libraries
  • Policy-driven development standards
  • Coding agent governance
  • Role-based access control (RBAC)
  • MCP & tool governance
02
Secure Code Generation
  • Secure implementation guidance
  • OWASP Top 10 / ASVS / NIST validation
  • Secrets, credentials, and PII protection
  • Automated vulnerability remediation
  • Secure code generation policies
  • Technical debt and quality checks
03
Traceability & Provenance
  • End-to-end lineage across prompts, tool calls, and workflows
  • Immutable audit trails
  • Prompt and model tracking
  • Security evaluation history
  • Complete audit readiness
04
Deployment & Runtime Protection
  • Dependency & package governance
  • CI/CD policy enforcement
  • Continuous monitoring
  • Vulnerability detection & remediation
  • Ingress / egress protection
Supported Across Your Development Stack
Govern AI coding agents across IDEs, CLIs, repositories, CI/CD pipelines, and cloud environments.

And more through open integrations and extensible APIs.

Key Capabilities
  • Repository Governance
  • Runtime Policy Enforcement
  • Data & Secrets Protection
  • CodeChain™ Software Lineage
  • Ingress / Egress Protection

Ship AI-generated software with security, traceability, and governance built into every stage of the SDLC.

CODECHAIN™
Complete Lineage for AI-Generated Software
Track every prompt, model, tool call, code change, security evaluation, and deployment action through a single immutable chain of custody.
Prompt
Capture prompts & intent
→
Model
Track version & configuration
→
Record
MCP tools, APIs & actions
→
Generated Code
Link code, prompts, models & tools
→
Security Validation
Capture scans, policies & fixes
→
Pull Request
Track reviews, changes & approvals
→
Deployment
Trace to environment & runtime
End-to-End Provenance
Full visibility across the entire AI software lifecycle.
Immutable Audit Trails
Tamper-proof records for compliance, investigations, and audits.
Supply Chain Assurance
Verify the origin and integrity of AI-generated software.
CodeChain™ - Trademark pending
The Business Impact

Accelerate AI-Driven Development
Without Losing Control

Deploy AI coding agents at scale while maintaining security, governance, software integrity, and complete software lineage.

Reduce Security Risk
Prevent vulnerabilities, secrets exposure, and insecure coding patterns before they reach repositories, CI/CD pipelines, or production.
Accelerate Secure Development
Enable developers to leverage AI coding agents while enforcing secure development policies and standards.
Improve Auditability & Compliance
Maintain complete CodeChain™ lineage and software traceability across AI-generated software for governance, compliance, and incident response.
Maintain Operational Control
Control how coding agents interact with repositories, tools, enterprise systems, and data sources.
The Paradigm Advantage
Organizations no longer need to choose between development velocity and software security. Paradigm enables teams to safely scale AI-driven software development through:
AI Coding Agent Governance
Secure Code Generation
CodeChain™ Software Lineage
Repository & MCP Governance
Runtime Policy Enforcement
Software Supply Chain Governance
Deployment & Integration

Integrates Seamlessly with Your Development Workflow

Paradigm integrates with your existing development tools and workflows without disruptive changes to developer experience. It operates inline across multiple coding agents with centralized governance.

Support for All Leading AI Coding Agents
Comprehensive Repository & CI/CD
Security & Development Stack
Embedded MCP & Tool Governance
Flexible Deployment Models
SaaS · VPC · On-Premises · Hybrid
Explore Paradigm Platform
Time to Value
Deploy in hours with inline security policy enforcement.

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