---
title: Your Alert Is Waiting. Your Attacker Isn’t.
description: Join TENEX to explore how identity abuse, automation, and AI-assisted attacks put pressure on SOC workflows. Learn where queues and handoffs delay action, what AI can accelerate, and which decisions require human judgment.
image: https://webinars.techstronglearning.com/hubfs/2026.11.23%20TENEX%20ai-Social-1080x1080.png
---

Your Alert Is Waiting. Your Attacker Isn’t.

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##### Monday, November 23rd

11 am ET

A lower token count is not proof of a better security investigation. SOC leaders need evidence that the work is thorough, clarity on what it costs, and accountability for the result. As an investigation unfolds, it may require progressively more data, broader context, and additional reasoning. The challenge is making that work count while preserving the evidence needed to reach a sound decision.

Join Anthony Guida and Tyler Moffitt for a practical look at the tokenomics of the SOC. Through an illustrative security investigation, we’ll explore how SOC expertise informs TENEX’s proprietary specialized agents and how context graphs, working memory, hunt packs, and evaluations support investigation quality. We’ll explain where AI costs arise, how context-aware compaction preserves relevant information, and why efficiency must be judged alongside the quality of the investigation.

Leave with five questions to evaluate an AI security provider: what work is included, what can change the bill, how human expertise informs the system, how investigation quality is checked, and who owns the outcome. The session connects AI economics to the decisions SOC leaders actually need to make.

Key Takeaways:

- Distinguish data ingestion, model-token usage, reasoning effort, and total service-delivery cost without treating them as interchangeable billable units.
- Understand how SOC expertise informs proprietary specialized agents, including email, EDR, search, and threat-hunt agents, without implying a single predefined playbook.
- Understand how context graphs, working memory, hunt packs, and evaluations support quality, and how context-aware compaction preserves relevant evidence.
- Recognize why an investigation may need more and broader data, and distinguish included processing, usage charges, data ingestion, and service responsibilities.
- Ask for evidence of security investigation quality, clear pricing boundaries, and accountable service delivery.

# Register Below:

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### Tyler Moffitt

###### Cybersecurity Strategist - TENEX.ai

Tyler Moffitt brings more than 15 years of cybersecurity experience, including malware, ransomware, and threat research, to his work translating attacker behavior into practical security insights at TENEX.

![Anthony Guida-modified](https://webinars.techstronglearning.com/hs-fs/hubfs/Anthony%20Guida-modified.png?width=640&height=640&name=Anthony%20Guida-modified.png "Anthony Guida-modified")

### Anthony Guida

###### Cybersecurity strategist - TENEX.ai

 Anthony Guida is a Cybersecurity Strategist at TENEX specializing in cloud security and AI-driven defense. He turns complex technical concepts into clear strategies, drawing on enterprise network, security, and system engineering experience and cloud security product development. 

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