AI Security

The threat has changed; most defenses have not. AI Security Survival Guide translates modern attack patterns—prompt injection, key leakage, deepfakes, poisoned dependencies—into controls builders can implement this quarter.

You will not find vague “AI governance” slides. Chapters cover phishing defense, securing your AI stack, supply chain hygiene, and incident response sized for small teams, plus a 30-day rollout kit in the appendix.

Use alongside Securisky for live URL scanning and Security Stack for Engineers when you self-host models or agents.

What you'll learn

• Map how AI changed your attack surface
• Deploy technical countermeasures to AI-enhanced phishing
• Secure APIs, keys, prompts, and model endpoints
• Manage supply-chain risk across ML dependencies
• Respond to deepfakes and voice-cloning social engineering
• Run incident response when you have fewer than 50 people
• Roll out a 30-day AI security program with the appendix kit

Who this is for

• Founders shipping LLM features without a dedicated security team
• Engineers integrating OpenAI, Anthropic, or self-hosted models
• IT leads asked to “handle AI security” on top of existing duties

What's inside

1. Introduction: The Threat Has Changed. Most Defenses Have Not.
2. Chapter 1: The New Threat Landscape: How AI Changed the Attack Surface
3. Chapter 2: AI-Enhanced Phishing Defense: Technical Countermeasures
4. Chapter 3: Securing Your AI Stack: APIs, Keys, and Prompts
5. Chapter 4: Supply Chain Security: Every Dependency Is a Liability
6. Chapter 5: Social Engineering 2.0: Deepfakes and Voice Cloning
7. Chapter 6: Incident Response for Teams Under 50 People
8. Chapter 7: Building Security Culture Without a Security Team
9. Chapter 8: Appendix: 30-Day AI Security Rollout Kit

Before you buy

• Review the table of contents above to confirm this book matches your stack and experience level.
• All sales are final once the download link is delivered.
• Questions? Email [email protected].

Frequently asked questions