Threat Hunting and Hypothesis-Led Identity Hunting with Anomali

Alert-driven detection models often miss subtle,identity-based attacker behavior. This whitepaper introduces a hypothesis-ledidentity hunting approach that combines behavioral baselines, adversaryintelligence, and AI-assisted analytics. Using the Agentic SOC Platform,analysts can test structured hypotheses against correlated identity, endpoint,and network telemetry to detect stealthy activity earlier in the attacklifecycle. The result is reduced attacker dwell time and a more proactive,intelligence-driven detection posture.

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