Qevlar AI Secures $10M for agentic AI security engine

Qevlar AI's autonomous investigation API enables the rapid, automated analysis of potential incidents, executing investigation tasks in under a minute.
Qevlar AI Secures $10M for agentic AI security engine

Autonomous security startup Qevlar AI has secured an additional $10 million in funding, bringing total investor commitments to $14 million. 

Cyber-attacks continue to increase in severity, frequency, and sophistication with the growing use of AI and generative AI creating new threat vectors. Security efforts are undermined by this rising complexity and an ongoing cyber talent shortage. 

Qevlar AI aims to solve this critical issue.  The Paris-based cybersecurity startup who develops what analysts are calling a "truly autonomous Agentic AI security engine" - moving beyond the current generation of AI copilots to deliver genuine security automation.

Central to Qevlar AI’s early success is its autonomous investigation API. It enables the rapid, automated analysis of potential incidents, executing investigation tasks in under a minute, compared with the hours it can take humans to complete, with improved accuracy. Integrating with existing security infrastructure, Qevlar AI accelerates SOC efficiency by up to 90 per cent, freeing up Level 1 and 2 analysts to focus on more critical, sophisticated challenges.

Since its launch in 2023, the company has already achieved transformative results for enterprise customers across multiple industries and managed security service providers (MSSPs). Organisations implementing Qevlar AI's autonomous investigation platform have:

  • Reduced the time spent on malicious alerts from 40 minutes to just three minutes.
  • Cut the amount of time Level 2 analysts spent on tasks such as alert investigations by 50 per cent.
  • Increased classification accuracy to 99.8 per cent, compared with a maximum human expert accuracy of 97 per cent.
  • Closed 100 per cent of unharmful alerts autonomously.

According to Ahmed Achchak, Qevlar AI Co-Founder and CEO, 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.”

The latest round was led by EQT Ventures and Forgepoint Capital International and includes strategic participation from tech luminaries Olivier Pomel (CEO, Datadog), Florian Douetteau (CEO, Dataiku), and Mehdi Ghissassi (ex-Director of Product, Google DeepMind). 

As part of this funding round, Forgepoint Capital International Managing Director Damien Henault will join the company’s Board of Directors.

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 defence.”

Damien Henault, Forgepoint Capital International Managing Director, said: 

“Qevlar AI’s game-changing autonomous AI agent-led threat investigations are shaping the future of modern SOCs. 

By combining its proprietary knowledge graph and LLM-based AI technology, Qevlar AI delivers consistent outputs faster and more accurately than alternatives, empowering and augmenting Level 1 and Level 2 analysts to focus on more high-value work.”

The new funding will propel Qevlar AI's rapid growth, enabling further team expansion – after quadrupling in the past year – while driving advanced product research and development, and accelerating international market expansion.




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