This comprehensive guide explains how identity-based attacks have become the primary entry point for modern breaches, with adversaries “logging in” rather than breaking in. It examines the limitations of traditional IAM, MFA, and siloed tools that fail to detect lateral movement across on-premises, cloud, SaaS, and AI-driven environments. The document introduces a next-generation identity security model built on unified visibility, real-time detection, risk-based conditional access, and just-in-time privilege enforcement. It addresses emerging risks from non-human identities and AI agents, outlining how unmanaged automation expands the attack surface. By integrating identity, endpoint, and cloud telemetry into a single AI-native platform, organizations can stop credential abuse faster, red

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