
Qevlar AI, a cybersecurity startup headquartered in Paris, has raised €25.8 million ($30 million) in new funding to further develop its AI-powered Security Operations Centre (SOC) platform.
The round was co-led by Partech and Forgepoint Capital International, with participation from EQT Ventures & Growth. The investment will support the expansion of the company’s platform capabilities as it aims to automate complex security investigations and provide deeper operational insights for enterprise security teams.
What The Company Does
Founded in 2023 by AI engineers Ahmed Achchak and Hamza Sayah, Qevlar AI develops an agentic artificial intelligence platform designed to support Security Operations Centres in identifying and analyzing cybersecurity threats.
Security operations teams typically receive large volumes of alerts generated by monitoring systems. These alerts must be investigated to determine whether they represent genuine threats or false positives.
Qevlar AI’s platform automates several parts of this investigation process. The system analyzes incoming alerts, enriches them with additional contextual data, identifies patterns across incidents, and generates reports that help analysts understand potential risks.
By automating routine investigation tasks, the platform allows human analysts to focus on higher-level activities such as threat hunting, incident response planning, and strengthening long-term security strategies.
The company describes its technology as an agentic AI system, meaning it can perform complex analysis tasks autonomously while supporting human decision-making in cybersecurity operations.
Market Context / Industry Background
Security Operations Centres play a critical role in monitoring corporate networks and responding to cyber threats. However, the rapid increase in digital infrastructure and connected systems has significantly increased the volume of security alerts generated by monitoring tools.
Research cited by Qevlar AI indicates that a small number of attack scenarios can trigger thousands of alerts. According to Gartner estimates, around 70 percent of detection and response time within SOC teams is spent on triage and investigation rather than proactive threat analysis.
This imbalance can create operational challenges for security teams, particularly as organizations face growing cybersecurity risks but limited security personnel.
As a result, many companies are exploring automation tools that can assist analysts by filtering alerts, conducting preliminary investigations, and highlighting meaningful patterns across security events.
AI-driven SOC platforms are emerging as a way to help organizations manage this growing complexity while improving response efficiency.
Founder / Investor Commentary
Qevlar AI co-founder and CEO Ahmed Achchak said the company aims to move beyond traditional alert management systems by focusing on deeper analysis of security patterns.
“Today, most SOCs measure success by how many alerts they tackle and how quickly they are resolved,” Achchak said. “But this is a firefighting approach that tells you nothing about your security posture.”
He argued that identifying patterns across incidents is critical for understanding the underlying causes of security threats.
“The only way to understand that is by being able to identify patterns in the trends, and that requires a completely new approach,” he said.
Achchak added that the company is working to evolve its platform into a broader AI-driven security intelligence system.
“We’re moving from autonomous alert investigations to an intelligent AI SOC platform that uncovers insights that transform how teams not only deal with alerts, but stop them from recurring,” he said. “We’re putting out the fire and finding out what started it to make sure it doesn’t happen again.”
Growth Plans / Use Of Funds
Qevlar AI plans to use the €25.8 million funding to expand its platform beyond automated alert investigations.
The company intends to enhance its AI capabilities so the system can identify root causes of security incidents, derive insights from historical data, and help reduce the overall number of alerts generated over time.
The funding follows a previous investment round in April of the previous year, when the company raised €9.1 million led by EQT Ventures and Forgepoint Capital International. With the latest investment, Qevlar AI has secured significantly expanded resources to accelerate product development and market growth.
The company has already begun expanding its global customer base, working with enterprises such as Mercedes-Benz and Sodexo. It also collaborates with managed security service providers including Orange Cyberdefense, ECI, and Atos.
As adoption grows, Qevlar AI plans to expand its geographic presence while continuing to develop its autonomous cybersecurity platform.
About Qevlar AI
Qevlar AI is a cybersecurity technology company developing AI-driven platforms for Security Operations Centres. Founded in 2023 and headquartered in Paris, the company builds autonomous investigation tools that help security teams analyze alerts, identify patterns in cyber threats, and strengthen overall security posture. Its platform is designed to automate routine security investigations while enabling analysts to focus on strategic cybersecurity operations.