Mitiga unveiled Helios AI, a groundbreaking SecOps engine that dramatically accelerates incident handling by cutting alert triage time by 90% and improving alert closure rates by 70×, marking a significant leap forward for cloud security operations. As the first AI-powered SOC assistant natively integrated into Mitiga’s Cloud Detection and Response (CDR) platform, Helios AI delivers automated triage, augmented investigation, and accelerated remediation across cloud, SaaS and identity environments. The launch introduces its initial feature, AI Insights, which filters out noise, runs contextual triage tests, assembles comprehensive evidence packages, adjusts severity dynamically, and mimics human analyst judgments to present only actionable alerts. Developed from the ground up rather than retrofitted onto legacy systems, Helios AI harnesses Mitiga’s cloud-native data lake, real-time AI analysis, and advanced automation to reduce manual workflows, optimize Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR), and enhance threat accuracy and depth.
Also Read: ACI adds Power ACI Connectic to tech partner ecosystem
Quotably, Ofer Maor, Co‑Founder and CTO of Mitiga, stated, “Helios AI and our AI Insights feature are the result of years of experience that puts accuracy and analyst empowerment at the core of cybersecurity operations.” He added, “We’ve created a solution that doesn’t just automate but acts like an analyst to triage threats in real‑time, eliminating false‑positives, and giving teams back the time and clarity they need to focus on what matters most”. Field CISO Brian Contos emphasized that Helios AI is not designed to replace human expertise but to empower security teams facing alert fatigue, talent shortages, and soaring response pressure, delivering “smarter systems that work with them, not against them”. This launch, backed by Mitiga Labs’ research into top emerging cloud and SaaS threats, signals a transformative shift in SecOps, enabling faster, smarter, and more scalable defense in increasingly dynamic cloud environments.