Cybersecurity Field
Guide Series

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Optiv Field Guide Library

 

Built with you in mind, these field guides are your go-to playbooks for cybersecurity success. Each guide tackles a specific challenge with practical strategies and tactics shaped by real-word experience and research. From staying ahead of ransomware to surviving an attack, from driving change management to rolling out SASE or Zero Trust—it’s all here, with more on the way. 

Featured Field Guide

 

Managed Detection and Response

 

This field guide from Optiv and Google Cloud explores how modern managed detection and response (MDR) accelerates SOC modernization and strengthens cyber resilience.

 

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Cybersecurity Operations

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What to Do When Everything Changes
Identify next steps during world-changing events.
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How to Survive an Attack
Develop your cybersecurity incident response plan.
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Automated Remediation Best Practices
Expect a 65% improvement with automated remediation.
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Ransomware Today and Beyond
Strategies to prevent and respond to ransomware attacks.
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Modernizing Your Security Operations
Key questions to consider when building a SecOps strategy.
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Forging Operational Resilience
Build a framework to withstand a new era of cyber threats.
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Secure Your Operational Technology (OT)
Build a strong approach to protect your OT infrastructure.
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Managed Detection and Response
Explores how modern MDR accelerates SOC modernization.

Infrastructure

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Accelerate Digital Transformation with SASE
Practical tips and strategies for operationalizing SASE.
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Practical Approach to Cloud Transformation
Build a checklist for strong cloud detection and response.

Identity

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Zero Trust Guiding Principles
How to explain Zero Trust frameworks to your peers.

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Why IAM Is a Top Cybersecurity Priority
Gain a better understanding IAM and its strategies.

Risk

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Payment Card Industry DSS v4.0
Explore changes in the PCI Data Security Standard version 4.0.
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The Modern Cyber Insurance Landscape
Gain a comprehensive cyber insurance perspective.

AI

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Enable Innovation with Secure AI
Key strategies for safely using and building AI models.