Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Exabeam: Real Intelligence. Real Security. Real Fast.

Security teams today face machine-speed threats, growing complexity, and overwhelming data. Exabeam helps you stay ahead with powerful AI, behavioral analytics, and automation designed to accelerate threat detection, investigation, and response (TDIR). With hyper-fast search, advanced analytics, and intelligent automation, Exabeam enables security teams to uncover threats faster, reduce manual work, and gain insights other tools miss. Since 2014, we’ve put AI and machine learning at the core of security operations—helping organizations modernize their SOC and improve outcomes at scale.

How SA Power Networks Accelerated Threat Detection with Exabeam

The small but mighty cyber security team at SA Power Networks, the sole electricity distributor for the state of South Australia, was challenged to keep up with numerous responsibilities, including preventive controls, patch management, and detect/respond functions. After choosing and implementing Exabeam, the platform has delivered the anticipated value: streamlining and accelerating the company’s TDIR function, strengthening security team bonds and collaboration, and cementing the critical link between security and business initiatives.

Meet Exabeam Sherpa: The AI Backbone of Our NextGeneration Partner Experience

Today’s partners don’t need more portals, more PDFs, or more one‑time training sessions. They need momentum. That’s why we built Exabeam Sherpa, an AI‑powered, always‑on virtual Channel Account Manager (CAM) designed to help partners ramp faster, sell smarter, and scale performance as their teams grow.

AI Access Without Add-Ons or Limits

Artificial intelligence (AI) within security operations has shifted from basic summarization to fully agentic systems that participate in threat detection, investigation, and response (TDIR). As these capabilities evolve, many vendors restrict access through add-ons, credits, or gated previews. The result is predictable: Analysts use AI less, trust it less, and see less value from it. Agentic AI capabilities should be available the moment analysts need it, not controlled through tiers or metering.