Architecting a Resilient DevSecOps Pipeline for Enterprise AI Agents

Описание и применение

Построена четырёхступенчатая DevSecOps‑конвейер для автономных AI‑агентов, включающая сканирование секретов, AI‑ревью кода и промптов, анализ зависимостей и быстрый статический анализ, что защищает от утечек токенов, инъекций и уязвимостей в открытом ПО.

Задача

Deploying autonomous AI agents with legacy CI/CD workflows exposes credentials, prompt injection, open-source supply‑chain risks, and unchecked code flaws, threatening financial and regulatory compliance.

Результат

The pipeline prevents credential leaks, mitigates prompt injection, enforces open‑source policy, and stops high‑severity code flaws from merging, enhancing security without sacrificing developer velocity.

Рабочий процесс

• Stage 1: Secret Scanning with Gitleaks/TruffleHog on PR open
• Stage 2: AI Code Review using coderabbitai/ai-pr-reviewer and Prompt Security Scan with promptfoo/giskard
• Stage 3: Veracode Agent‑Based SCA scanning dependencies via SourceClear CLI
• Stage 4: Veracode Pipeline SAST Scan on built artifact and SARIF upload

Доказательства

Stage 1: Commit & Secret Interception – high‑speed secret detection engines such as Gitleaks and TruffleHog

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Stage 2: Dual AI Code Review & Prompt Security Audit – LLM reviewer and prompt evaluation tools like Giskard or PyRIT

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Stage 3: Veracode Agent‑Based SCA – lightweight CLI agent inspects package manifests

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