Insider Risk Management

Format:

Book

Author/Creator:

Kaur, Reet

Language:

Undetermined

Subjects (All):

Computer security.

Business enterprises--Security measures.

Business enterprises.

Risk management.

Physical Description:

1 online resource

Place of Publication:

O'Reilly Media, Inc., 2026.

Summary:

While most security strategies focus on keeping attackers out, the most damaging breaches often come from the people already inside your walls. They have legitimate access to your most sensitive data, which means they can misuse it without tripping traditional security alarms. This practical, forward-looking guide gives you a playbook for reducing vulnerabilities across the full spectrum of internal risks, blending real-world case studies with actionable best practices for modern digital environments, AI-enabled workflows, and evolving trust boundaries. From access management and behavioral analytics to risk-aware governance models and AI-specific controls, this report takes CISOs, IT leaders, and security professionals through the frameworks, technology insights, and strategic plans to proactively defend against one of the most complex and costly threats to enterprise data security today. The goal isn't to surveil your employees but rather to modernize how your organization defines, detects, and manages insider risks in an era where human and AI identities intersect. Explore the four primary insider threat profiles: malicious, negligent, compromised, and AI-driven Understand how insider risk has evolved in parallel with modern business practices Learn how insider risk management complements data loss prevention through behavioral, contextual, and intent-driven controls Build an insider risk management program aligned with your organization's appetite for risk Monitor and mitigate risks specific to AI tools, AI assistants, and autonomous workflows.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1569091950