AI-powered security platform consolidating SIEM, XDR, and threat intelligence
Anomali operates a unified security operations platform built on Java, Python, and cloud infrastructure (AWS, GCP, OCI) with a proprietary data lake and RAG-based AI copilot. The project roadmap reveals a shift toward agentic AI — multi-agent orchestration and autonomous SOC workflows — while addressing core operational pain points around consolidating legacy systems, scaling AI against alert volume, and reducing mean-time-to-response. Sales-led hiring mix (10 of 23 roles) reflects a structured GTM push for channel partnerships and enterprise customers.
Notable leadership hires: Sales Development Director
Anomali delivers a cloud-native security operations platform that unifies ETL, SIEM, Next-Gen SIEM, XDR, UEBA, SOAR, and threat intelligence capabilities into a single interface. The product centers on an AI copilot that navigates a proprietary security data lake to accelerate detection and response. The company targets mid-to-large enterprises managing fragmented security tooling and high alert volumes. With 201–500 employees based in Redwood City, Anomali is hiring across sales, engineering, and product — with active expansion into the Netherlands and United Kingdom alongside U.S. operations.
Java, Python, JavaScript, Splunk, AWS (EKS, RDS, Lambda, ELB), GCP, OCI, Kubernetes, Terraform, Salesforce, New Relic, Git, Bash, and PowerShell. Also active with RAG, SIEM, XDR, and EDR tooling.
Multi-agent AI orchestration for autonomous SOC workflows, agentic AI prospecting, real-time production pipelines for security analytics, SLO/SLI monitoring, and structured go-to-market programs for strategic channel partners.
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