Qevlar AI | Autonomous SOC Platform

Categories: Cybersecurity, Automation / Agents, Business & Sales | Pricing: Enterprise | Official Website ↗

Qevlar AI transforms SOC operations into a self-improving defense system by automating investigation, detection, response, threat hunting, and vulnerability prioritization.

Qevlar AI provides an autonomous SOC platform that leverages contextual intelligence to continuously strengthen security defenses. It investigates alerts across the entire stack, connects related activities into single incidents, and drives containment and tuning actions. The platform also performs continuous threat hunting and compounds institutional knowledge to make security operations smarter with every cycle.

Key Features

Autonomous investigation and response across security stack
Continuous threat hunting for emerging threats and TTPs
Compounding institutional knowledge for smarter SOC operations
Shared intelligence layer for SOC and vulnerability teams
Self-improving defense system that strengthens with each alert

Pros

Automates repetitive operational work, increasing team capacity
Continuously improves security posture with each action and alert
Connects disparate security functions (SOC, vulnerability management)
Ensures consistent execution of SOPs and policies

Cons

Specific pricing details are not publicly available
Requires integration with existing security stacks

Use Cases

Automating incident investigation and response workflows
Continuously hunting for advanced persistent threats (APTs)
Prioritizing vulnerability remediation based on confirmed exploitation
Improving detection engineering and expanding security coverage

Best For

Enterprises with complex security environments
MSSPs/MDRs managing multiple client security operations
Security teams struggling with alert fatigue and siloed operations
Organizations aiming for a proactive and self-improving defense

Platforms: Web

Watch demo on YouTube ↗

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