Qevlar AI Raises $30M Series A for Autonomous SOC Platform

Qevlar AI raised $30M Series A co-led by Partech and Forgepoint Capital for autonomous AI SOC platform investigating alerts in under 3 minutes. Hallucination-free graph orchestration cuts MTTR 10x for enterprises and MSSPs.

Emel Kavaloglu

Qevlar AI, a Paris-based autonomous AI SOC platform, has raised $30M in Series A funding co-led by Partech and Forgepoint Capital, with participation from EQT Ventures. The platform investigates security alerts at Tier-2/3 depth in under 3 minutes using graph-based orchestration and LLMs. The capital will expand the platform toward predictive threat hunting and security posture insights.

Agentic AI SOC Wave Builds Momentum

The round follows heavy activity in agentic AI SOCs: Torq raised $140M Series D in January 2026 at $1.2B valuation, while Dropzone AI secured $37M Series B in July 2025. Qevlar's focus on hallucination-free investigations via graph orchestration targets MSSP alert overload, where humans take 32-61 minutes per alert.

SOCs Drown in Alert Overload

SOCs process billions of events daily, with Atos handling 31B alone, yet face 86% false positives and analyst shortages. Manual investigations average 32 minutes, costing enterprises hours amid rising threats. Current tools like SIEMs generate noise without consistent triage.

Graph Orchestration Enables Reliability

Qevlar enriches SIEM/EDR data, correlates signals, and delivers explainable reports, auto-closing 80% benign alerts for 10x MTTR reduction. Unlike pure LLM rivals prone to 75% inconsistency, its hybrid graph-LLM approach ensures deterministic reasoning. Real-world tests show 99.8% accuracy versus humans' 97%.

As Reza Malekzadeh, General Partner at Partech, noted:

"Qevlar AI stands out as a company with the potential to be genuinely transformative."

Cyber VCs Double Down on Automation

Forgepoint Capital, a cybersecurity specialist that led Qevlar's prior $14M round, co-led alongside Partech's security-focused fund. Their backing signals conviction in agentic AI shifting SOCs from firefighting to insights. EQT Ventures adds early-stage tech muscle, aligning with Qevlar's path to profitability.

$49B SOC Market Demands AI Scale

The security operations center market stands at $49.43B in 2026, growing to $59.59B by 2035 at 6.2% CAGR. AI cybersecurity follows at $22.4B in 2023 toward $60.6B by 2028. Radiant Security raised $15M Series A previously, while Prophet Security got $30M Series A, fueling automation amid NIS2 mandates.

Ex-Cyber Leaders Drive Execution

Co-founder CEO Ahmed Achchak scaled revenue 6x as CTO at Minautor after Natixis ML engineering. CTO Hamza Sayah brings EPFL ML expertise with malware detection wins. Head of Product Fraser Whitfield led at SenseOn ($30M+ funded cyber SaaS), and VP Strategy Julien Hobeika boasts three AI exits including Julie Desk (sold 2019).

EMEA Expansion Targets MSSPs

Post-funding, Qevlar plans predictive threat hunting, geo-expansion to EMEA/APAC, and product evolution for campaign visibility. Partnerships with Atos, Orange Cyberdefense, and I-TRACING (600+ customers) position it for scale via RSAC 2026 demos.

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