Atos and Qevlar AI announced a global strategic partnership to further enhance the value of security operations for Atos' customers, extending Atos' use of AI into cyber alert investigation. Qevlar's agentic AI dedicated to cyber alert investigation will be embedded into Atos' cybersecurity operations, further strengthening the range of AI-powered tools implemented by Atos as a Managed Security Services Provider. It will increase delivery efficiency by assigning routine and intermediate security analysis to autonomous agents, freeing valuable time for Atos' cybersecurity experts to focus on proactive threat hunting and an increased alignment of detections to client business risks.
Atos brings to the collaboration its extensive, industry-proven operational experience in cyber protection for highly regulated and critical industries as well as public organizations. The partnership aligns Qevlar's agentic investigation layer with Atos' operational standards, ensuring fit-for-scale delivery across regulated environments. Qevlar AI complements Atos' pioneering approach to integrating AI into SOC operations in accordance with Atos' Responsible AI framework, in which cyber experts remain fully accountable, with AI as a technology lever and accelerator.
This ensures that security operations are both efficient and trustworthy. Atos' Responsible AI Framework includes strict adherence to the EU AI Act, along with compliance with leading governance and risk management best practices, and a Human-in-the-Loop approach to ensure trust, transparency, and full accountability within Atos' operations. In addition, Atos' experts guarantee proper tuning of AI models and injection of expertise in curating the AI processed alerts and the orchestration logic.
This framework entails maintaining deep expertise of Atos' operations teams through continuous training and manual handling of the most complex alerts, as well as probing to avoid over-reliance on automation. As a pioneer of AI integration into SOC operations since 2017 with its Prescriptive SOC model, where data analysts use DevOps to develop use cases tailored to customer business risks, Atos also introduced to its cybersecurity services delivery model: AI for Detection to leverage machine learning models to move beyond static rules, enabling low-signal behavioral detection that enhances threat identification, AI for Triage, implementing advanced alert scoring, incorporating both criticality and potential blast radius to prioritize responses effectively according to business impact, AI-Powered Search Assistance that introduces a natural language interface to the SOC dashboard, enabling intuitive, efficient access to insights and investigations.
