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The Ultimate Guide to Insider Threats

eBook

How to detect insider threats from users, service accounts, and AI agents

This eBook explains how insider threats emerge from trusted identities, including employees, contractors, service accounts, third parties, and AI agents, and how behavioral analytics helps security teams identify, investigate, and respond to risky activity.

Insider threats remain one of the most difficult security risks to detect because they often originate from trusted identities operating with legitimate access. As organizations adopt AI agents, autonomous workflows, cloud services, and delegated permissions, the scope of insider risk continues to expand. Traditional security controls often struggle to distinguish normal activity from misuse, compromise, privilege abuse, or agent drift.

This guide provides a framework for understanding modern insider threats and the behavioral analytics techniques used to detect them. Through real-world examples, detection use cases, and program-building guidance, readers will learn how to identify risky behavior across users, service accounts, and AI agents and how to operationalize insider threat detection within security operations.

Key Questions This Guide Helps You Answer

• What are insider threats, and why are they difficult to detect?
• How do compromised credentials, lateral movement, privilege escalation, and account manipulation contribute to insider risk?
• What role do service accounts and AI agents play in modern insider threat scenarios?
• How does behavioral analytics detect misuse, privilege abuse, evasion, and data exfiltration?
• What should organizations consider when building or improving an insider threat program?
• How can security teams detect AI agent misuse and workflow drift before risk escalates?

Download the guide to understand modern insider threats and learn how to detect, investigate, and respond to risky activity from users, service accounts, and AI agents.