Agentic AI: Navigating Risks and Security Challenges : A Beginner’s Guide to Understanding the New Threat Landscape of AI Agents (AI Risk and Security Series Book 2)

Agentic AI: Navigating Risks and Security Challenges : A Beginner’s Guide to Understanding the New Threat Landscape of AI Agents (AI Risk and Security Series Book 2)

ASIN: B0F5HN15QD
Analysis Date: Jan 31, 2026 (re-analyzed Jan 31, 2026)

Review Analysis Results

B
Authenticity Grade
15.00%
Fake Reviews
4.80
Original Rating
4.40
Adjusted Rating

Analysis Summary

The majority of these reviews appear genuine, with only one showing clear manipulation patterns. Four of the five reviews contain specific personal context, detailed product knowledge, or balanced perspectives that strongly suggest authentic reader experiences. The reviews come from users with varying technical backgrounds who provide meaningful feedback about how the book helped them understand agentic AI concepts.

Strong genuine indicators include: Review 1's admission of being a "common user, not technical" who found the book informative about definitions they didn't know; Review 2's personal "aha moments" and specific mention of safety approaches; Review 3's context about reading multiple AI books and wanting to learn about this specific topic; and Review 5's balanced 4-star rating with constructive criticism about AI-generated content and acronyms. These reviews demonstrate authentic engagement with the material.

The only concerning review is Review 4, which uses generic business language ("practical guidance," "clear roadmap," "implementing security for our company's first AI agents") that reads like marketing copy rather than personal experience. The phrasing feels formulaic and lacks the authentic voice present in the other reviews. However, this represents only 20% of the sample.

Overall, this appears to be a legitimate book receiving mostly authentic feedback from readers interested in AI topics. The one suspicious review is outweighed by four reviews showing genuine engagement, personal context, and specific learning outcomes. The product seems to serve its intended audience of both technical and non-technical readers exploring agentic AI concepts.

Key patterns identified in the review analysis include: Personal technical background disclosures, Specific learning outcomes mentioned, Comparison to other AI concepts.

Review Statistics

10
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

As a specialized AI security guide with excellent ratings, expect mid-range pricing around ₹500-₹800. Given the niche topic and high rating, this represents fair value for those specifically interested in AI agent security. Wait for Amazon sales events for the best deals, and verify the page count matches the price point.

MSRP Assessment

Estimated MSRP: ₹500-₹800
Source: Product category average
Amazon Price: Unable to compare

Market Position

Positioning: Mid-range
Alternatives Range: ₹300-₹1,200
Value: This specialized AI security guide offers niche content that justifies a premium over general AI books but should be priced below comprehensive technical textbooks.

Buying Tips

Best Time to Buy: Look for discounts during Amazon's Great Indian Festival or Prime Day sales when technical books often see 20-40% reductions.
Deal Indicators: Price below ₹400 would be excellent value; bundled with Book 1 of the series; Kindle Unlimited availability for free reading.
Watch For: Be wary of prices above ₹1,000 as this is a niche beginner's guide, not a comprehensive textbook; check page count before purchasing.
Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Jan 31, 2026

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.80 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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