AI Is Not Built for Cybersecurity
A Guide to Ensure Your AI Investments Last
AI is both the biggest opportunity and the biggest hype in business. The truth? Most enterprise AI projects fail per an MIT study. In cybersecurity, failure isn’t inconvenient: it’s catastrophic.
In this short guide, you’ll learn why today’s AI tools struggle in the SOC, what agentic cybersecurity actually means, and how to future-proof your defenses with AI that collaborates, explains, and evolves.
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What You’ll Learn in This Guide
Why AI Fails
in the SOC
Unpack the root causes of AI breakdowns in security from rigid systems and unreliable data to black-box reasoning.
The Lone-Agent Problem
Understand why single AI agents can’t collaborate or explain themselves and how that erodes trust and agility.
Inside the Agentic Cybersecurity Platform
Explore how Bricklayer’s system builds and manages AI agent teams that learn, share context, and act together.
Context Engineering 101 (MACE)
Learn the discipline that makes AI investigations coherent, auditable, and continuously smarter.
The SOC
Reporting Reset
See how agentic systems transform reporting from rearview metrics into live operational intelligence.
The CISO’s
AI Scorecard
Use our list of questions to pressure test AI agents on the ability to collaborate, level of transparency, and real operational value.