Architecting a Resilient DevSecOps Pipeline for Enterprise AI Agents

Description and use

A four‑stage DevSecOps pipeline for autonomous AI agents integrates secret scanning, AI code and prompt review, Veracode Agent‑Based SCA, and fast Pipeline SAST, preventing credential leaks, prompt injection, and code flaws.

Problem

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.

Outcome

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.

Workflow

• 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

Evidence

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

Source

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

Source

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

Source