Qevlar AI vs Torq (2026): which should you pick?

Pick Qevlar AI if

• Fits if your security team has more alerts than analysts can read
• Makes sense if you run an MSSP or MDR and want the same investigation steps for every client

Look elsewhere if

• Skip it if you want to see a price before talking to anyone, because none is published
• Not for you if you want to try it first, as there is no free plan and no trial
• Watch out: the pricing page address returns not found, and no list of supported tools is shown
• Watch out: the results quoted on the site are the vendor's figures, not checked ones

Pick Torq if

• Fits if you run a security operations team buried in alerts and false positives
• Works for teams that want AI to write up evidence and a timeline for each case

Look elsewhere if

• Not for you if you want general business or personal automation, as it's aimed at security operations
• Skip it if you need a price: none is published and the vendor's pricing address returns not found
• Tight if you want to test it first, because no free plan or trial is listed
• Watch out: the pages we read name no integrations, so you can't check it fits your tools

Qevlar AI

• No prices, plans or trial terms are published; the pricing page address returns not found.
• The company says tools connect via API, with results shown in the customer's own console or Qevlar's.
• Figures such as 1,500 organizations in production are the vendor's claims.
• The site lists separate pages for enterprises and for MSSPs and MDRs.

Torq

• No prices are published; the site directs buyers to request a demo.
• It is aimed at security operations, not general business or personal automation.
• The vendor's own pricing address returns a page-not-found error.

Qevlar AI

Alert investigation

Investigates every alert across the stack, connects related activity into one incident story and maps its blast radius.

Response and loop closing

Drives the next action for each outcome: containment for malicious activity, tuning for false positives, and follow-up for benign violations.

Continuous threat hunting

Hunts for emerging threats, attacker techniques, anomalies and patterns found across past investigations.

Vulnerability prioritization

Shares context between SOC and vulnerability teams, so confirmed exploitation raises the priority of affected assets in the remediation queue.

Retained institutional knowledge

Procedures and findings stay in the platform, so investigations stay consistent when analysts change.

Torq

Auto triage

AI agents de-duplicate events and filter false positives, giving verdicts that the vendor says are grounded in your team's past decisions.

Case management

Cases are created, assigned and managed from one place, which the vendor describes as the single source of truth for an incident.

AI investigation

Specialized AI agents take on repetitive investigation work and record evidence, timelines and recommended actions for review.

Response with Socrates

Socrates is a natural-language agent that can remediate threats autonomously or with a human overseeing the action.

Threat hunting runbooks

Agentic runbooks access authorized data and tools, compare findings with historical cases and summarize what they find.

Reporting and context model

A context model records each verdict, exception and override, and reporting tools keep stakeholders informed.

Qevlar AI

Pricing could not be confirmed. See qevlar.com.

Torq

Pricing could not be confirmed. See torq.io.