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Qevlar AI
Paris-built autonomous SOC platform that investigates alerts, maps blast radius, hunts threats, and feeds what it learns back into detection and response.
MSSPs and large European security teams that want autonomous investigations, EU-friendly deployment, and findings fed back into detection.
Small security teams that want a light triage add-on, or buyers who need a long list of US reference customers.
Verdict
Qevlar AI is an autonomous SOC platform founded in Paris in 2023 by Ahmed Achchak and Hamza Sayah. Security teams and managed security providers such as Orange Cyberdefense and Atos use it to investigate alerts across their stack, connect related activity into one incident, and push the result into containment, tuning, or a policy follow-up. It stands out because it treats each closed alert as something the SOC should learn from, so detections and priorities improve over time instead of resetting with every ticket.
Score Breakdown
How Qevlar AI scores in the categories that matter to its buyers.
Pricing
Qevlar AI sells through direct enterprise sales and MSSP partners after a demo.
The platform is licensed as a subscription scoped to the organization or, for MSSPs, to the customers they serve. It connects to existing tools by API.
The Field at a Glance
How Qevlar AI compares with other AI SOC & security operations vendors we reviewed, by Overall Score and relative typical engagement cost.
Qevlar AI scores 7.3 in AI SOC & security operations, under Dropzone AI (7.6) and Prophet Security (7.4). Relative cost lands upper-mid for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Alert investigation | Strong | Core Qevlar motion. |
| MSSP deployments | Strong | Orange Cyberdefense, Atos, ECI. |
| Threat hunting | Strong | Autonomous hunts across past cases. |
| Vulnerability prioritization | Mixed | Newer link to exposure teams. |
| US mid-market fit | Mixed | European base first. |
| SIEM replacement | Poor | Works on top of the SIEM. |
Who it’s for
Good fit
- MSSPs
- Large European enterprises
- SOC leaders who want findings to improve detections
Poor fit
- Small IT-led security teams
- Buyers wanting a SIEM
- Teams that need list pricing
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“Qevlar was first deployed to enhance our email security investigations. Its impact was immediate and measurable, leading us to expand it across our entire security perimeter.”
“We can now detect threats more quickly and accurately, while focusing our analysts' expertise on the most complex and critical incidents.”
“Qevlar has big MSSP names in Europe, but when we asked for a US reference our size, they did not have many to offer yet.”
Methodology
This page is an independent evaluation of Qevlar AI for buyers comparing options in ai soc & security operations. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Qevlar AI did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for ai soc & security operations)
- Autonomous alert investigation
- MSSP & multi-tenant fit
- Learning loop into detection
- Lowest entry price
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Qevlar AI is graded here as ai soc & security operations. Criteria scores can move as more review volume and product checks are added.