Why Every AI+Security Tool I Tried Was Lying to Me (And What I Built Instead)

2026-05-14 · Source: HackerNoon · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Software Development & Engineering · Depth: Intermediate, short

Summary

The article "Why Every AI+Security Tool I Tried Was Lying to Me (And What I Built Instead)" by SonoTommy, a 21-year-old computer engineering student, discusses the author's dissatisfaction with existing AI-powered security tools and their decision to develop a custom solution. Published on May 14th, 2026, the piece implies that current AI+security offerings fail to meet practical cybersecurity needs, prompting a personal project to address these perceived shortcomings. While the specific details of the author's built solution are not provided in the excerpt, the title suggests a focus on creating a more truthful or effective alternative to commercially available options.

Key takeaway

For AI Security Engineers evaluating new tools, critically assess vendor claims regarding AI+security capabilities. Your team should prioritize hands-on testing and consider developing bespoke solutions if commercial offerings fall short of specific operational requirements. This approach helps ensure that deployed systems provide genuine security value rather than relying on potentially misleading marketing.

Key insights

Existing AI+security tools may not meet practical cybersecurity needs, prompting custom development.

Principles

• Trust but verify AI security claims
• Custom solutions can address specific gaps

Topics

• AI Security
• Cybersecurity
• OSINT
• AI Agents
• Anthropic

Best for: AI Student, AI Security Engineer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by HackerNoon.