Product guide

Applied AI in Cyber Threat Intelligence

Applied AI in Cyber Threat Intelligence is a practical book about using agentic AI and Python to automate cyber threat intelligence workflows. Its scope spans collection, cross-source signal corroboration, structured analysis, reporting, forecasting, and threat hunting, with hands-on projects aimed at readers who already know cybersecurity and basic Python.

At a glance

Describes building multi-agent AI pipelines for the cyber threat intelligence lifecycle.
Covers automation of intelligence requirements, collection planning, source mapping, and signal corroboration.
Explores Structured Analytic Techniques, argument mapping, and intelligence reports tailored to different audiences.
Includes topics in machine learning, threat hunting, detection engineering, tactical research, and forecasting.
The listing says hands-on projects suit readers with intermediate cybersecurity knowledge, threat intelligence methodology experience, and basic Python 3.x skills.

Price

$37.99Save 37%

Reference price: ~~$59.99~~

Price checked: Nov 14, 2026

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Pros and cons

Pros

Connects agentic AI implementation to multiple stages of the threat intelligence lifecycle, rather than focusing only on agent fundamentals.
The described topics combine operational workflows with structured analysis and audience-specific reporting.
The listing identifies a practical prerequisite level, helping prospective readers judge whether the projects fit their background.

Cons

The described hands-on projects assume cybersecurity and threat intelligence experience plus basic Python scripting, so the book is not presented as a beginner introduction to those subjects.

Technical specifications

8 specifications

Book details
Publisher	Packt Publishing
Publication date	July 29, 2026
Language	English
Print length	628 pages
ISBN-10	1806020319
ISBN-13	978-1806020317

Dimensions and installation
Weight listed	2.34 pounds
Dimensions	7.5 x 1.42 x 9.25 inches

Who is it for?

A good fit for

Cyber threat intelligence analysts seeking to automate and scale recurring workflows.
Security, detection, and SOC engineers interested in applying agentic AI to intelligence operations.
Readers with intermediate cybersecurity knowledge, threat intelligence methodology experience, and basic Python 3.x scripting skills.

Less suited to

Readers looking for an introductory cybersecurity or Python guide.
Readers seeking a general AI overview rather than applied cyber threat intelligence workflows.

Customer reviews on Amazon

5 / 5 · 5 ratings

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The supplied aggregate ratings are entirely five-star, but the sample is small and no written feedback is provided. The ratings therefore offer limited insight into how well the book explains its agentic AI projects, Python work, or fit for readers with the stated cybersecurity prerequisites.

Frequently asked questions

What does the book cover?

The listing describes agentic AI workflows across intelligence requirements, collection, processing and corroboration, analysis, reporting, dissemination, and feedback. It also lists threat hunting, detection engineering, forecasting, and tactical research.

What background does the listing recommend?

It recommends intermediate cybersecurity understanding, experience with threat intelligence methodologies, and basic Python 3.x scripting for the hands-on projects. It says prior AI expertise is not required.

Which AI tools or approaches are named?

The listing names the Google Agent Development Kit, multi-agent systems, and machine learning techniques, alongside Structured Analytic Techniques in the intelligence workflow.