Cloud incident response company Mitiga Security Inc. today launched Helios AI, an artificial intelligence-powered security operations center assistant that helps security operations teams with triage, augmented investigation and accelerated threat remediation across multicloud environments.
Helios AI is designed specifically for modern, dynamic cloud environments to deliver vastly improved operational efficiency. The service optimizes security team resources and eliminates tedious manual workflows to deliver what Mitiga claims is the fastest mean time to detect and mean time to respond available.
The platform helps SecOps teams reclaim critical time, reduce risk exposure and improve threat detection and incident response across cloud and software-as-a-service environments by significantly reducing alert noise and surfacing only actionable insights.
The first Helios AI feature available to customers is AI Insights, an automated SOC assistant that cuts through alert noise to deliver 90% faster triage and 70 times faster alert close rates.
“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,” said co-founder and Chief Technology Officer Ofer Maor. “We’ve created a solution that doesn’t just automate but thinks like an analyst to triage threats in real time, eliminating false positives.”
Early simulations run by Mitiga are said to show how Helios AI and AI Insights have significantly outperformed traditional alert systems in both accuracy and speed. Findings from a new Mitiga report, “The Next Breach Path: The Top 10 Threats We’re Seeing Across SaaS, Cloud and Identity,” highlights the top threats across SaaS, cloud and identity. The aim is to provide a strategic view for cloud security leaders and how they can use Helios AI and AI Insights to prepare their teams and environments for what’s next.
Some of the top threats highlighted in the report include identity-based intrusions, where attackers purchase valid credentials from “infostealer” logs on underground markets to gain unauthorized access. Another risk noted in the report is multicloud lateral movement, where adversaries compromise one cloud provider account and move on to others using shared or federated identity systems, making containment difficult.
The report also warns of emerging risks tied to AI and SaaS platforms, as threat actors are actively exploring ways to exploit AI and machine learning platforms, particularly through integrations with large language model-enabled applications that may bypass traditional input validation.
“Security teams don’t need more tools, they need smarter systems that work with them, not against them,” said Brian Contos, field chief information security officer at Mitiga. “Helios AI was built with the realities of SecOps teams in mind: alert fatigue, talent shortages and the pressure to respond faster than ever.”
Helios AI is available now as part of Mitiga’s unified cloud security platform.
Mitiga was previously in the news in January when the company raised $30 million in new funding to drive growth, enhance its AI-driven platform and forge strategic alliances. Investors in the round included SYN Ventures, ClearSky Security, Atlantic Bridge Capital Ltd., Flint Capital Inc., DNX Ventures and Glilot Capital Partners Ltd.
Image: News/Reve
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