Paris-based Qevlar AI, a startup growing a brand new class of autonomous safety operations centres (SOCs), at this time pronounces it has secured a further €9.1 million in funding, bringing whole investor commitments to €12.8 million.
Funding might be used to speed up the corporate’s mission to advance the productiveness of SOC groups by empowering them to successfully prioritise and reply to more and more subtle cyber threats.
The most recent spherical was led by EQT Ventures and Forgepoint Capital Worldwide and consists of strategic participation from tech luminaries Olivier Pomel (CEO, Datadog), Florian Douetteau (CEO, Dataiku), and Mehdi Ghissassi (ex-Director of Product, Google DeepMind).
Ahmed Achchak, Qevlar AI Co-founder and CEO, mentioned: “The arithmetic of cybersecurity are basically damaged. When a single analyst can solely correctly examine a small collection of alerts per day, but faces a whole bunch and even 1000’s requiring consideration, we’re asking people to resolve an inconceivable equation. Our autonomous brokers don’t simply help analysts; they recalibrate what’s attainable in safety operations by conducting full investigations that beforehand consumed hours in simply seconds, with higher consistency and accuracy. Because of this, SOCs can shift from being reactive alert factories to proactive risk hunters.”
Based in 2023, Qevlar AI is augmenting safety operations centre (SOC) productiveness with autonomous AI SOC analysts. It allows SOC analysts to autonomously enrich, examine, contextualise, and triage safety alerts, bettering protection posture and general SOC efficiency.
Cyber-attacks proceed to extend in severity, frequency, and class; one examine by the Allianz Threat Barometer named cyber incidents as the highest international danger for 2025, whereas the rising use of AI and generative AI creates new risk vectors. Safety efforts are undermined by this rising complexity and an ongoing cyber expertise scarcity; different analysis by the World Financial Discussion board World Cybersecurity Outlook 2025 revealed that two-thirds of organisations reported moderate-to-critical expertise gaps, with simply 14% of respondents assured they’ve the folks and expertise wanted.
A 3rd examine by the Vectra 2023 State of Menace Detection discovered that safety analysts are unable to take care of 67% of the every day alerts they obtain, with 83% of those alerts being false positives.
Julien Hobeika, Accomplice at EQT Ventures, added: “Cyber threats have an immense affect on companies of all sizes, and counteracting subtle AI-powered threats is greatest achieved with an much more subtle agentic AI protection. We proceed to be proud backers of Ahmed, Hamza and your complete Qevlar workforce and are wanting ahead to supporting them as they revolutionise SOC capabilities on a worldwide scale.”
Organisations implementing Qevlar AI’s autonomous investigation platform have reportedly:
- Diminished the time spent on malicious alerts from 40 minutes to simply three minutes
- Decreased the time Stage 1 and a couple of analysts spend on duties similar to alert investigations by
90% - Elevated classification accuracy to 99.8%, in contrast with a most human professional
accuracy of 97% - Closed 100% of benign alerts autonomously
Damien Henault, Forgepoint Capital Worldwide Managing Director, mentioned: “Qevlar AI’s game-changing autonomous AI agent-led risk investigations are shaping the way forward for trendy SOCs. By combining its proprietary data graph and LLM-based AI know-how, Qevlar AI delivers constant outputs sooner and extra precisely than options, empowering and augmenting Stage 1 and Stage 2 analysts to deal with extra high-value work. The workforce embodies the whole lot we search for within the companies we again – with their ambition, focus, and thorough understanding of the market, their product, and the way they assist clients remedy such an extremely complicated and vital drawback.”
Central to Qevlar AI’s early success is its autonomous investigation API. It allows the fast, automated evaluation of potential incidents, executing investigation duties in beneath a minute, in contrast with the hours it may take people to finish, with improved accuracy. Integrating with current safety infrastructure, Qevlar AI accelerates SOC effectivity by as much as 90%, releasing up Stage 1 and a couple of analysts to deal with extra important, subtle challenges.
Eric Bohec, Chief Technical Officer, at Nomios, mentioned: “Companies spend an enormous period of time reviewing threats, with some instruments not delivering the required stage of accuracy of their evaluation and requiring extra evaluations. With Qevlar, we will quickly analyse even essentially the most complicated of instances in simply three minutes in comparison with the half hour it beforehand took, and we all know its assessments might be correct.”
Daniel Aldstam, Chief Safety Officer of Globalconnect, added: “Corporations have dozens of safety merchandise, so including one thing new is at all times a danger. Qevlar AI seamlessly integrates with current instruments to assist us automate L1 analyst duties, with out the necessity for any guide intervention, and boosting each effectivity and accuracy of risk evaluation.”
The brand new funding will propel Qevlar AI’s fast progress, enabling additional workforce growth – after quadrupling prior to now 12 months – whereas driving superior product analysis and growth, and accelerating worldwide market growth.
As a part of this funding spherical, Forgepoint Capital Worldwide Managing Director Damien Henault will be part of the corporate’s Board of Administrators.
