4-3: AI Security & Zero-Trust Execution
Securing the Generative Attack Surface from injection and data leakage.
🎯 What You'll Learn
- ✓ Implement Data Loss Prevention (DLP)
- ✓ Harden prompt injection defenses
- ✓ Execute sandboxed code safely
- ✓ Perform LLM ethical audits
Lesson 1: Prompt Injection & The Attack Surface
Unbounded context windows mean an attacker can execute prompt injection to extract data. The LLM is essentially a database with a conversational SQL injection vulnerability.
Limiting what the LLM can access via RAG APIs.
Delimiters, XML tags, and strict formatting rules.
Red-teaming the LLM with automated injection payloads.
Write a hardened system prompt using XML delimiters that successfully passes a simulated prompt injection attack.
Lesson 2: Outbound Data Loss Prevention (DLP)
Before any packet leaves the perimeter for third-party inference, it must pass through an outbound DLP gateway. Implement Named Entity Recognition (NER) models to anonymize data BEFORE transit.
The time cost of sanitizing a prompt using local NER.
Mapping scrubbed tokens back to real names on the response.
Logging every scrubbed outbound payload.
Design a DLP pipeline that intercepts an outbound LLM request, sanitizes PII, hits the API, and rehydrates the response.
Lesson 3: Agentic Sandboxing
When you give an AI Agent tools to execute code, run database queries, or send emails, you are opening a massive threat vector. Zero-Trust requires sandboxed execution environments.
Running generated code in isolated, short-lived Docker pods.
Strict whitelisting of allowed API endpoints and commands.
Enforcing Human-in-the-Loop (HITL) for destructive actions.
Architect a secure execution enclave for an AI agent tasked with analyzing a CSV file and outputting SQL commands.
Continue Learning: Track 4 - AI & Enterprise Architect
2 more lessons with actionable playbooks, executive dashboards, and engineering architecture.
Access Execution Fidelity.
You've seen the theory. The Vault contains the exact board-ready financial models, autonomous AI orchestration codes, and executive action playbooks that drive 8-figure valuation impacts.
Executive Dashboards
Generate deterministic, board-ready financial artifacts to justify CAPEX workflows immediately to your CFO.
Defensible Economics
Replace heuristic guesswork with hard mathematical frameworks for build-vs-buy and SLA penalty negotiations.
3-Step Playbooks
Actionable remediation templates attached to every module to neutralize friction and drive instant deployment velocity.
Engineering Intelligence Awaiting Extraction
No generic advice. No filler. Just uncompromising architectural truths and unit economic calculators.
Vault Terminal Locked
Awaiting authorization clearance. Access the module to decrypt architectural playbooks, P&L models, and deterministic diagnostic utilities.
Module Syllabus
Lesson 1: Lesson 1: Prompt Injection & The Attack Surface
Unbounded context windows mean an attacker can execute prompt injection to extract data. The LLM is essentially a database with a conversational SQL injection vulnerability.
Lesson 2: Lesson 2: Outbound Data Loss Prevention (DLP)
Before any packet leaves the perimeter for third-party inference, it must pass through an outbound DLP gateway. Implement Named Entity Recognition (NER) models to anonymize data BEFORE transit.
Lesson 3: Lesson 3: Agentic Sandboxing
When you give an AI Agent tools to execute code, run database queries, or send emails, you are opening a massive threat vector. Zero-Trust requires sandboxed execution environments.
Explore Related Economic Architecture
Foundational Research & Empirical Studies
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When the Cost of Writing Software Approaches Zero, Traditional Product Management Frameworks Break Down
When generative tools collapse the marginal cost of writing software toward zero, developer capacity ceases to be the constraint. The product bottleneck shifts from managing backlog velocity to managing uncertainty, evaluating system architecture efficiency, and preserving unit margins as a Product Economist.
Hey, Senior PMs: Shipping Faster Won’t Get You Promoted
Shifts product management focus from feature output to margin contribution and P&L ownership.
Want to apply this to your organization with AI Security & Zero-Trust Execution?
Run a free diagnostic first. If the numbers concern you, book a session to build a remediation plan.
Richard Ewing: AI Economist & Capital Auditor