Lesson 1: The Illusion of Velocity

Lesson 2: The Epistemic Gap, Context Drift and Review Atrophy

Lesson 3: Forensic Case Studies: Lovable and Replit

Lesson 4: Building the Semantic Integrity Gate

Lesson 5: The Unchecked Fleet-Tracking Service

Module 1: Ghosts in the Machine

Lesson 6: The Weaponization of Ambient Authority

Lesson 7: Key Concepts: Injection, Toxic Flows and Identity Hijacking

Lesson 8: Forensic Case Studies: Clinejection, Amazon Q and Supporting Disclosures

Lesson 9: The CARD Architecture

Lesson 10: Scenario: The Fintech Triage Agent

Module 2: Swarms in the Wire

Lesson 11: Ephemeral MicroVM Containment

Lesson 12: Default-Deny Egress Enforced Outside the Guest

Lesson 13: Just-in-Time Credential Brokering

Lesson 14: Dual-Key Attestation and Release Governance

Lesson 15: Traditional vs. Counter-Agentic Governance

Lesson 16: Implementation Blueprint: The Perimeter Specification

Module 3: The Zero-Trust Perimeter

Let's assess your knowledge

Final Assessment

Most teams try to make AI coding agents behave. This course assumes they won't, and teaches you to build the perimeter anyway.AI coding agents now write, review and ship code with real credentials and real access. When one goes wrong, it rarely looks like a bug. It looks like working software that nobody fully understands, or like a routine task that quietly runs with far more authority than anyone intended. Counter-Agentic SDLC Governance gives you a practical way to keep that speed without handing over the keys.Across three focused modules and 16 short lessons, you will learn to:<ul><li>Spot the gap between code that runs and code anyone understands, and see how context drift and review fatigue let flawed AI-generated code through.</li><li>Apply a semantic integrity gate, so changes are checked against what the system is supposed to do and not only whether the tests pass.</li><li>Recognize how prompt injection, toxic agent flows and identity hijacking turn an agent's own permissions into an attack path.</li><li>Design a zero-trust perimeter for agent execution: isolated microVM sandboxes, egress filtering, short-lived just-in-time credentials, and dual-key attestation that requires both a system key and a human key before anything ships.</li><li>Write a perimeter specification you can take to your own team.</li></ul>You will work through real, publicly documented incidents, including the Lovable CVE-2025-48757 exposure, a coding agent that wiped a production database during a code freeze, and an issue title that turned a triage bot into an unauthorized npm release. Each module also includes a short scenario so you practice the decisions, not just the vocabulary.COURSE AT A GLANCE<ul><li>Format: self-paced, about 2.5 hours</li><li>Structure: 3 modules, 16 lessons</li><li>Reinforcement: non-scoring knowledge checks in each module</li><li>Assessment: none. There is no exam</li><li>Completion: a certificate of completion, with a verification link, once all 16 lessons are finished</li><li>Training Access: 365 days</li></ul>WHO IT IS FORSoftware engineers, security engineers, DevOps and platform engineers, engineering managers, and technical leaders who are adopting AI coding agents and need to govern them.IMPORTANTThis Micro-Cert is a standalone learning program. It is not a certification or credential, and it does not count toward any Gloria Institute certification level.

Learn to contain AI coding agents in 2.5 hours. Self-paced micro-cert on semantic integrity gates, prompt-injection defense, microVM sandboxes, egress filtering, and just-in-time credentials. No exam. Certificate of completion after all 16 lessons.

Course content

SEC-SDLC-400: Counter-Agentic SDLC Governance

Haroon Mansoori

This Course Includes