Sweet Security's new LLM-powered cloud detection engine revolutionizes threat identification, achieving an extraordinary 0.04% detection noise rate, thus enabling teams to navigate complex cloud environments.
This technology adapts findings to specific cloud environments, allowing for the detection of 'unknown unknowns'—previously undetectable threats—without needing predefined malicious behavior definitions.
Each incident is categorized as 'malicious', 'suspicious', or 'bad practice', which helps security teams prioritize their responses and reduces alert fatigue, enhancing overall operational efficiency.
The LLM detection engine enhances the ability to quickly validate findings, allowing security operations to effectively differentiate real threats from benign anomalies.
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