Cybersecurity Threats 2026 : Advanced AI, Deepfake, and Multi-Vector Defense
Overview
One attack. Five channels. Seven layers of defense.
Modern attackers no longer send one suspicious email and hope for the best. A phishing message, a text, a synthetic voice on the phone, and a compromised smart device can now reach the same target within minutes, each one making the others look more real. Defenses built for one channel at a time do not hold.
Cybersecurity Threats 2026: Advanced AI, Deepfake, and Multi-Vector Defense shows how coordinated, AI-enhanced campaigns are staged and gives you a structured way to stop them. At its core is the Advanced Cyber Armour Framework (CAF), a seven-layer, defense-in-depth model with identity at the center, designed so that a failure in one layer does not bring down the rest.
Inside, you will learn how to:- Recognize how multi-channel campaigns unfold, from reconnaissance to theft
- Verify identity when voices, video, and messages can be synthesized
- Counter adversarial AI techniques aimed at people, accounts, and devices
- Stop IoT compromises from cascading across your network with segmentation
- Apply zero-trust rules to your accounts, devices, and payments
- Protect crypto holdings with multi-signature wallets and cold-storage routines
- Run incident response playbooks and recover quickly
- Prepare for post-quantum risks with a practical roadmap
Eleven chapters, each ending with a self-test quiz and answer key, plus six appendices of ready-to-use tools: daily and weekly hygiene checklists, an incident response playbook, crypto security templates, an AI and deepfake verification template, and personal zero-trust rules.
Practical, not alarmist. No hype and no fear-based advice, just clear routines and verification protocols for individuals, small organizations, and learners. This second edition removes every statistic that could not be traced to a checkable source.
Book 2 of the Cybersecurity Threats 2026 series. Looking for the fundamentals first? Start with A Step-by-Step Guide to an AI-Aware Digital Defense.
Written by Sebastien Beyh, PhD, a telecommunications and infrastructure engineer with more than 30 years of experience, including cybersecurity.
This item is Non-Returnable
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Details
- ISBN-13: 9798249101176
- ISBN-10: 9798249101176
- Publisher: Independently Published
- Publish Date: February 2026
- Dimensions: 9 x 6 x 0.32 inches
- Shipping Weight: 0.36 pounds
- Page Count: 126
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