Sweet Security, a leader in runtime cloud and AI security solutions, has been recognized as both a Cloud Security Leader and a Cloud Application Detection & Response (CADR) Leader in the 2025 Cloud Security Report by James Berthoty of Latio Tech. This dual leadership highlights Sweet Security’s innovation in delivering real-time, AI-powered detection and response capabilities for cloud environments.
Sweet Security named Cloud Security and CADR Leader in 2025 Latio Report.
Report highlights shift from posture-based to runtime, risk-driven cloud security.
Sweet combines runtime insights across vulnerabilities, threats, posture, and identity.
Proprietary AI-driven detection engine reduces cloud noise to 0.04%.
SweetX™, Sweet’s LLM-powered investigator, accelerates incident response with root cause analysis.
Latio underscores Sweet’s capabilities in AI SOC workflows and API-layer threat detection.
The 2025 Latio Cloud Security Report recognizes vendors shaping the future of cloud defense through visibility, automation, and AI-driven runtime protection. Unlike traditional tools focused on posture, Sweet Security empowers security teams with real-time application-layer insights, correlating data across workloads, infrastructure, identities, and vulnerabilities. This enables prioritization of genuine threats over noise, supporting faster and more precise incident response.
James Berthoty, founder and CEO of Latio Tech, remarked, “Sweet was a clear choice as a cloud security and CADR leader as innovators bringing the power of runtime protection to practitioners.”
Sweet Security’s unique strengths lie in its proprietary AI and LLM-powered detection technologies. These include:
Runtime Protection: Extends visibility to developers at build time, factoring in posture, vulnerabilities, and identity signals.
AI-Powered Investigation: SweetX™ uses advanced LLMs to identify root causes of incidents, reducing investigation times to minutes.
Robust Detections: Real-time attack detection regardless of origin or cloud layer.
Investigation and Response: Achieves an industry-leading mean time to resolution (MTTR) of 205 minutes by delivering complete, story-like incident context.
Risk Consolidation: Merges posture assessments with live attack data to prioritize remediation effectively.
The report also highlights Sweet Security’s advancements in integrating AI for security operations centers (SOC) and expanding API-layer threat detection, helping teams safeguard their dynamic cloud attack surfaces comprehensively.
Dror Kashti, CEO and co-founder of Sweet Security, stated, “From the start, our goal has been to go beyond alerts and give security teams real-time insight into what’s actually happening in their environments. This recognition confirms that clarity and runtime understanding are critical to the future of cloud defense.”
Sweet Security is a leading provider of Runtime CNAPP solutions that leverage comprehensive runtime insights and behavioral analytics. Their unified platform correlates data across applications, workloads, and cloud infrastructure to deliver real-time detection and response, vulnerability management, posture management, identity threat protection, and API security. Its patent-pending LLM-powered detection engine reduces cloud detection noise to 0.04%, helping organizations set industry benchmarks for incident response efficiency.
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