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Description

Exabeam helps teams to outsmart the odds, by adding intelligence and business products such as SIEMs, XDRs and cloud data lakes. Use case coverage that is out-of-the box consistently delivers positive results. Behavioral analytics allows teams to detect malicious and compromised users that were previously hard to find. New-Scale Fusion is a cloud-native platform that combines New-Scale SIEM with New-Scale Analytics. Fusion integrates AI and automation into security operations workflows, delivering the industry's leading platform for threat detection and investigation and response (TDIR).

Description

Intezer AI SOC combines multiple AI models, both proprietary and commercial, with deterministic, forensic methods such as endpoint analysis, reverse engineering, network artifact forensics, sandboxing, static analysis and more. Together, this approach mirrors the triage process that expert, human analysts follow, maintaining high accuracy at unmatched speed and scale. Our native integrations are built for the depth and rigor of the triage and forensic investigation process, providing robust, full-featured connections between tools. This allows Intezer to ingest alerts from all major sources within seconds, gather richer evidence, and deliver deeper context in every analysis. Remediation actions can be easily automated with explicit human approval. You get: - Accurate, fast triage, available 24/7/365: Regardless of alert volume, Intezer delivers consistent, objective triage free from human error or subjective judgment. - Forensics built-in: Intezer AI SOC incorporates advanced forensic capabilities, from automated evidence collection via EDR/SIEM/IDP to memory analysis, reverse engineering, network artifact forensics, and sandboxing. - Humans in the loop: Intezer maintains true human-in-the-loop oversight with transparent triage logic, clear explanations, and the ability for analysts to review or override escalated alerts. - Scalable with predictable pricing: By combining deterministic analysis with efficient AI models, most alerts are triaged without requiring resource-intensive, expensive LLM processing.