Qevlar AI vs Intezer
Qevlar AI
Qevlar AI is an autonomous SOC investigation platform founded in Paris, France in 2023. It connects to an existing detection stack via API, investigates alerts from connected tools, correlates related activity into unified incident narratives with blast-radius mapping, and recommends containment actions while keeping analysts in oversight. The company describes a graph-based orchestration approach that uses LLMs for enrichment and summarization rather than core investigative reasoning. It sells to both enterprise SOC teams and MSSPs, with results surfaced in native consoles or Qevlar's own interface.
Pros
- Reported customers include Mercedes-Benz and Sodexo, plus MSSPs such as Orange Cyberdefense, Atos, and ECI (Vestbee funding coverage)
- Raised a 30M dollar Series A in March 2026 led by Partech and Forgepoint Capital International, with EQT Ventures participating (Vestbee)
- Vendor reports roughly 10x faster investigations, to about three minutes per alert, as cited in funding coverage
Things to check
- Young company (founded 2023); check roadmap, support coverage, and references for your region
- Investigation-time and automation metrics come from the vendor and funding coverage; validate on your own alert volume
- No public pricing, and no self-hosted option is advertised; check data residency and hosting requirements
Pricing:
Intezer
Intezer is an AI SOC platform that automatically investigates and triages alerts from endpoint, SIEM, phishing, identity, and cloud sources, resolving what it judges to be false positives and escalating a small share to analysts with findings and recommended actions. Its triage applies techniques from the company's malware analysis background, including memory scanning, code reverse engineering, and integrated threat intelligence. The platform deploys as cloud-hosted SaaS with more than 100 integrations and serves enterprise SOC teams and MSSPs.
Pros
- Technology heritage in malware analysis and threat forensics, which investor Norwest describes as a data moat for its AI SOC product
- Customers report alert investigation about 60 times faster than manual analysis, with roughly 4 percent of alerts escalated to the SOC (reported in Norwest's investor writeup)
- Operating since 2015, with a $33M Series C led by Norwest and roughly $68M in total disclosed funding (Pulse2, Tracxn)
Things to check
- Pricing tiers and the per-endpoint model are published, but dollar amounts require contacting sales
- Cloud-hosted SaaS, so review data handling requirements for submitted files and artifacts
- Speed and escalation-rate figures come from vendor and investor materials, so validate them against your own alert mix
Pricing: