
Description
The Sweet Security EC2 Sensor provides definitive, runtime-first protection for enterprise workloads on Amazon EC2. While traditional tools rely on passive configuration scanning, this lean sensor utilizes Extended Berkeley Packet Filter (eBPF) technology to capture real-time telemetry from system calls, network behaviors, and workload identities directly inside the kernel.
Operating seamlessly within Sweet Security’s Cloud Detection and Response (CDR) framework, the sensor builds a precise behavioral baseline for each instance. This allows it to safely uncover stealth attacks, API abuses, and live memory threats without the heavy processing overhead associated with legacy security agents.
By unifying runtime signals with broader cloud log insights, the platform consolidates disparate alerts into a clear, chronological attack timeline. Security operations teams can drastically compress their Mean Time to Resolution (MTTR), using automated playbooks to target and neutralize active threats with surgical precision. This ensures critical cloud environments remain secure and operational without sacrificing infrastructure performance.
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