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Securing AI Applications

Ship AI features attackers can’t turn against you.

Your AI reads untrusted text — emails, documents, web pages — and then acts on it with real tools and data. That’s a new attack surface most teams never lock. The GUARD Method is a five-stage loop for securing any AI app — Gauge, Understand, Armor, Restrict, Detect & respond. Defensive, practical, stack-agnostic.

Lifetime access · instant access · 60-day money-back guarantee

The GUARD Method

The loop you run to secure any AI-powered system.

G
Gauge
Map the attack surface — every input, tool, data source, and trust boundary.
U
Understand
Know the threats — the AI-specific catalog, from injection to abuse.
A
Armor
Build layered defenses — input/output validation, guardrails, hardening.
R
Restrict
Contain the blast radius — least privilege, isolation, human-in-the-loop.
D
Detect
Watch and respond — safe logging, abuse detection, red-teaming, IR.

What’s inside — 10 modules

1
The GUARD Method
Why AI apps are a new attack surface — untrusted text reaching tools and data — and the five-stage loop that secures them.
2
Gauge
Threat-model your AI system: map inputs, tools, data flows, outputs, and trust boundaries.
3
Understand
The AI threat catalog: injection, jailbreaks, data leaks, insecure output handling, excessive agency, abuse.
4
Armor
Layered defenses: input/output validation, guardrails, prompt hardening, defense-in-depth.
5
Restrict
Least privilege and isolation: scope tools and data, sandbox, isolate tenants, gate risky actions.
6
Detect & Respond
Safe logging, abuse detection, red-teaming your own system, and an incident-response playbook.
7
Prompt Injection Deep Dive
The #1 AI threat: direct vs. indirect injection, why it can't be fully fixed, and a layered defense that works.
8
Securing Specific AI Systems
Apply GUARD to RAG access control, agent/tool security, and multi-tenant isolation.
9
Data, Privacy & Compliance
PII handling, secrets management, retention and training-use boundaries, and the compliance landscape.
10
Security in Production
Supply-chain risk, monitoring at scale, secure config, staying ahead, and a security readiness checklist.
Plus: 10 narrated videos (~3 hrs), slide decks & PDFs, a study guide, and 7+ templates (GUARD quick reference, AI threat-model worksheet, threat catalog, prompt-injection defense cheat sheet, guardrail & least-privilege checklist, red-team test-set starter, security readiness checklist) — yours to download and keep.
60-day money-back guarantee

If it doesn’t help you secure your AI apps, email us within 60 days for a full refund. No questions.

Questions

Why so cheap?

It’s a deliberately low price so any developer or team can grab it. Lifetime access, no subscription.

Is it really lifetime?

Yes — buy once, access forever, including updates.

What do I get?

10 video modules (~3 hrs), slide decks & PDFs, a study guide, and 7+ templates (GUARD quick reference, AI threat-model worksheet, threat catalog, prompt-injection defense cheat sheet, guardrail & least-privilege checklist, red-team test-set starter, security readiness checklist) — plus a downloadable bundle.

How technical is it?

Built for developers, AI engineers, and technical PMs. You should be comfortable calling an API and reading pseudocode. No prior security-specialist background needed — the security concepts are taught on the job.

Is this an offensive/hacking course?

No. It’s strictly defensive — protecting your own AI apps and users, and testing systems you own or are authorized to test. Attacks are explained only to the depth you need to defend.

Which tools or frameworks do I need?

None in particular. GUARD is stack-agnostic — it applies to any model, framework, and cloud you use.

Refund?

60-day money-back guarantee, no questions asked.

Lock the door before someone knocks.

Get the method — lifetime access for $4.99.

Prefer to read? Get the companion ebook — “Securing AI Applications” on Amazon.