Qevlar AI
AI-driven security operations platform for alert investigation, response, and threat hunting.
- Tool type
- AI-powered security operations platform
- Made for
- SOC and security teams, including MSSPs
- Runs on
- Customer or Qevlar console
- Connects with the security stack via APIs; confirm the console technology and deployment requirements.
What it does
Qevlar AI is a security operations platform for enterprise security teams and managed security service providers. It investigates alerts across a connected security stack, correlates related activity into incident narratives, maps potential blast radius, and advances containment under analyst control. Teams can use investigation outcomes to guide follow-up actions, including tuning false positives or handling policy and compliance issues.
The platform also supports continuous threat hunting across attacker techniques, behavioral anomalies, active exploitation, and patterns from earlier investigations. Qevlar describes a shared intelligence layer connecting SOC and vulnerability teams, where exploitation evidence can inform remediation priorities and hunt targets. It says analysts can review its reasoning, override verdicts, and add context for future cases; its FAQ describes graph-based orchestration with language models used for bounded tasks such as enrichment and summarization.
Customers connect their technology stack via APIs and view results in their own console or Qevlar’s. Request a demo to establish supported integrations, deployment requirements, commercial scope and which containment actions need approval.
What it can do
- Investigates security alerts across connected systems
- Correlates related activity into incident stories
- Maps incident blast radius and advances containment with analyst control
- Supports continuous threat hunting across attacker techniques and anomalies
- Uses investigation outcomes to inform response, detection tuning, and policy follow-up
- Connects SOC investigation context with vulnerability prioritization
Before you choose
- Confirm supported integrations, hosting and technical compatibility.
- Establish analyst oversight, override procedures and approval requirements for response actions.
- Review fees and implementation scope during the demo.
Listed under
Get started
The public site prompts prospective customers to book a demo call.
- Book a demo call with Qevlar AI.
- Discuss the SOC environment and the technology stack to connect.
- Arrange API-based connection and choose whether results are viewed in the customer console or Qevlar’s; implementation specifics are not published.
Plans and prices
Rates, billing basis and included services need confirmation.
We couldn’t find published prices for Qevlar AI.
Sources for this overview
Product pages, documentation, and pricing checked 2 Nov 2026. Each source supports part of the overview; availability and prices can change.
- Qevlar AI | Autonomous SOC Platform ↗www.qevlar.com
- Qevlar AI | About ↗www.qevlar.com
- Qevlar AI | Autonomous SOC Platform ↗www.qevlar.com
- Qevlar AI | Whitepapers - 3 Ways to Prove AI ROI: How MSSPs Get Budget Approved ↗www.qevlar.com
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How we research- Company website
- qevlar.com: product, pricing and policy pages
- YC directory mirror
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- knowledge_base
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Last checked 2 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.