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Autonomous Detection Engines in Real-Time CWPP

Artificial intelligence (AI) is one of the fastest growing spaces in technology, but it’s not new to SentinelOne. Here at SentinelOne, we don’t do hype or hyperbole. We were founded in 2013 on the premise that AI could fundamentally transform cybersecurity and achieve real-time defenses against machine-speed attacks. Our cloud workload protection platform (CWPP), Singularity Cloud Workload Security, uses AI to deliver real-time detection and response to runtime threats.

Our CWPP agent uses five engines onboard:

  • Static AI Engine
  • Cloud Intelligence Engine
  • App Control Engine
  • Behavioral AI Engine
  • STAR Rules Engine

Some of these engines use AI while others are rules-based. Each works in concert with the other to defend business applications (aka workloads) running on your infrastructure whether in public or private cloud, on servers, VMs, or containers. To better understand the role of AI in achieving this objective, this paper describes the functional operation and benefits of each of these engines, which together form the high-performance, high-efficiency foundation of our AI-powered CWPP

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