Qevlar AI raises USD $30m to expand autonomous AI SOC

Qevlar AI has raised $30 million in a funding round led by Partech and Forgepoint Capital International, as it positions its software around autonomous investigation and broader security operations insights.

EQT Ventures also participated. Forgepoint Capital International led Qevlar AI's previous funding round in 2025.

Qevlar AI sells a platform for security operations centres. It focuses on investigating security alerts and turning investigation activity into organisation-level security insights.

The customer base includes large enterprises such as Mercedes-Benz and Sodexo, along with managed security service providers including Orange Cyberdefense, ECI and Atos.

Alert overload

Security operations teams often face high volumes of alerts. A Forrester analysis found that three attack scenarios can trigger thousands of alerts, while Gartner estimates that 70% of the threat detection and response cycle time is spent in triage and investigation.

Those conditions have left many SOC teams struggling to match demand with staffing, according to Qevlar AI's view of the market. The operational pressure has also pushed buyers and service providers to seek products that reduce investigation time and standardise investigation quality.

Qevlar AI says its platform automates parts of the investigation process, including data enrichment, identification of alert patterns and reporting. That, it says, lets analysts spend more time on threat hunting, incident response planning and other work that improves security posture.

Qevlar AI reports that customers have seen a 10x reduction in investigation time, down to three minutes. It also says customers investigate 100% of alerts with full depth and context, with 24/7 investigation and no compromise on quality as alert volumes rise.

Product direction

The new funding will go into product development. Qevlar AI described a shift from autonomous alert investigation towards an AI SOC platform that generates insights from investigations.

It says those insights help security teams identify underlying issues and support remedial action that reduces recurring alerts over time.

The pitch reflects a broader shift in the SOC market. Many security vendors argue that faster alert handling is not enough on its own, and that organisations need feedback loops that connect investigations with changes in controls, detection logic and operational processes.

Abdelhalim Elmouadan, Head of Global Operational Security at Sodexo, said: "The business case was easy to validate due to the immediate ROI. We not only reduced operational costs significantly but also improved our operational security efficiency and excellence."

Frederic Zink, Managing Director for France at Orange Cyberdefense, said: "We can now detect threats more quickly and accurately, while focusing our analysts' expertise on the most complex and critical incidents."

Qevlar AI co-founder and CEO Ahmed Achchak set out the company's view of how SOC success is measured-and what it wants to change.

"Today, most SOCs measure success by how many alerts they tackle and how quickly they are resolved. But this is a firefighting approach that tells you nothing about your security posture. The only way to understand that is by being able to identify patterns in the trends, and that requires a completely new approach. 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. We're putting out the fire and finding out what started it to make sure it doesn't happen again."

Investors also pointed to commercial traction and a move into deeper layers of SOC workflows, including detection and remediation.

Damien Henault, Managing Director & Partner at Forgepoint Capital International, said: "We have been impressed by Qevlar AI's momentum over the last twelve months. It has seen exceptional commercial traction with both Fortune 500 enterprises and leading MSSPs, with its customer base expanding globally. It makes perfect sense for us to increase our backing as it evolves its offering from alerts investigation to a complete end-to-end next-generation AI SOC insights platform, extending all the way from Level 1 investigation to Level 2 enhanced detection and Level 3 remediation."

Reza Malekzadeh, General Partner at Partech, said: "Qevlar AI stands out as a company with the potential to be genuinely transformative; rather than just allow SOCs to process alerts faster, it is giving them the power to tackle the underlying issues. The company's success to date highlights just how much the market needs this approach."

Founded in 2023, Qevlar AI plans to continue expanding its autonomous AI SOC platform and the insight layer built from investigation data.