Cyber-attacks are becoming more severe, frequent, and complex. One study identified them as the greatest global risk for 2025. The rising use of AI introduces new challenges, particularly given the shortage of skilled personnel. Research shows that two-thirds of organisations face skills shortages, with only 14% feeling confident in their team’s capabilities. Security analysts handle just 33% of daily alerts, and 83% of these turn out to be false positives. With many companies still relying on manual processes, security teams are overwhelmed. Qevlar AI aims to solve this by pioneering autonomous security operation centers (SOCs).
Today, Qevlar AI secured an additional $10 million in funding, bringing total investor commitments to $14 million. The latest round was led by EQT Ventures and Forgepoint Capital International, with participation from tech leaders Olivier Pomel (CEO, Datadog), Florian Douetteau (CEO, Dataiku), and Mehdi Ghissassi (former Director of Product, Google DeepMind). This backing validates Qevlar AI’s innovative approach to security operations.
The funding will help SOC teams prioritise and respond to complex cyber threats better. It will also fuel Qevlar AI’s growth, enabling team expansion after quadrupling last year’s size while advancing product development and international market reach.
How Qevlar AI addresses challenges such as alert fatigue and a shortage of skilled cybersecurity talent
Founded in 2023 by Ahmed Achchak (ex-BNP Paribas Personal Finance) and Hamza Sayah in Paris, Qevlar AI is revolutionising Security Operations Centers through artificial intelligence. The company explicitly addresses alert fatigue, skilled talent shortages, and increasingly sophisticated cyber threats.
Qevlar AI emerged from a clear need in cybersecurity. Organisations struggle with alert fatigue, manual investigation bottlenecks, and resource constraints. The founders set out to automate alert investigations, cut analysis time, and boost SOC efficiency.
Ahmed Achchak, Qevlar AI Co-Founder and CEO, said: “The mathematics of cybersecurity are fundamentally broken. When a single analyst can only properly investigate a small selection of alerts per day, yet faces hundreds or even thousands requiring attention, we’re asking humans to solve an impossible equation. Our autonomous agents don’t just assist analysts; they recalibrate what’s possible in security operations by conducting complete investigations that previously consumed hours in just seconds, with greater consistency and accuracy. As a result, SOCs can shift from being reactive alert factories to proactive threat hunters.”
Since launching in 2023, the company has achieved remarkable results for enterprise customers and managed security service providers (MSSPs). Organizations using Qevlar AI’s autonomous investigation platform have reduced malicious alert processing time from 40 to just three minutes. They’ve cut Level 1 and 2 analysts’ alert investigation time by 90%, achieved 99.8% classification accuracy — surpassing human experts’ 97% — and automatically resolved all benign alerts.
Beyond tools: Building the autonomous SOC
Qevlar AI’s technology seamlessly integrates with existing security systems, offering autonomous investigation tools that boost efficiency by up to 30% while minimising human error. While automation has long been promised in cybersecurity, Qevlar’s AI represents a fundamental breakthrough.
The company’s autonomous investigation API is key to its early success. It analyses potential incidents in under a minute, compared to hours for human analysis, with superior accuracy. By integrating with existing security infrastructure, Qevlar AI boosts SOC efficiency by up to 90%, allowing Level 1 and 2 analysts to focus on more sophisticated challenges.
Eric Bohec, Chief Technical Officer at Nomios, a leading Pan-European MSSP with over 60 SOC analysts supporting 2,000+ customers, said: “Businesses spend a huge amount of time reviewing threats, with some tools not delivering the required level of accuracy in their analysis and requiring more reviews. With Qevlar, we can rapidly analyse even the most complex of cases in just three minutes compared to the half hour it previously took, and we know its assessments will be accurate.”
Daniel Aldstam, Chief Security Officer of Globalconnect, Nordics’ leading digital infrastructure and data communication providers, added: “Companies have dozens of security products, so adding something new is always a risk. Qevlar AI seamlessly integrates with existing tools to help us automate L1 analyst tasks, without the need for any manual intervention, and boosting both efficiency and accuracy of threat analysis.”
Julien Steunou, Managing Partner Security Services of Almond, a major French MSSP, commented: “We chose Qevlar for the SOC after testing several solutions. The challenge we wanted to meet was to be able to autonomously handle investigations and have a system that can deliver a verdict on an analysis, along with a confidence level for that verdict so that we can reuse it in subsequent processing. It complements well the automation setup we’ve had in place for a while so that detection and remediation can mostly happen at machine speed. In these scenarios, we can handle more than 80% of cases this way and call in human experts only when the system isn’t confident in the verdict it provides. This makes everything fully integrated. That was the technical challenge Qevlar really delivered on.”
Julien Hobeika, Partner at EQT Ventures, added: “Cyber threats have an immense impact on businesses of all sizes, and counteracting sophisticated AI-powered threats is best done with an even more sophisticated agentic AI defense. We continue to be proud backers of Ahmed, Hamza and the entire Qevlar team and are looking forward to supporting them as they revolutionise SOC capabilities on a global scale.”
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