Qevlar AI

Qevlar AI is built around one central premise: security investigations take too long because they require analysts to manually pivot across dozens of tools, correlate disparate data sources, and construct timelines under pressure. Qevlar's AI investigation agents automate this entire process—given an initial alert or indicator, the agent autonomously decides which data sources to query, what questions to ask, and how to chain together findings into a coherent attack timeline. The platform excels at multi-hop investigations where the initial alert is just the entry point. Qevlar agents follow the evidence trail across identity logs, network flows, endpoint telemetry, and cloud audit trails, surfacing lateral movement, privilege escalation, and data exfiltration indicators that siloed tools would miss. Each investigation concludes with a structured report explaining the full scope of the incident, the attacker's likely objectives, and prioritized remediation steps. Qevlar integrates with existing SIEM and EDR platforms, positioning itself as an investigation acceleration layer rather than a replacement for current tooling. Analysts retain control—they can review, correct, or extend agent findings at any point—while the AI handles the mechanical work of data collection and correlation. The platform maintains a memory of past investigations, allowing it to recognize recurring attacker patterns and apply institutional knowledge from resolved cases to new ones. For security teams facing a growing investigation backlog and insufficient analyst capacity, Qevlar provides meaningful leverage without requiring tool replacement.

AI Models

Key Features

• Autonomous multi-hop investigation across identity, network, and endpoint
• Attack timeline reconstruction from initial alert to full scope
• Lateral movement and privilege escalation detection across data sources
• Structured investigation reports with prioritized remediation steps
• Institutional memory of past investigations for pattern recognition
• Analyst review and correction interface at each investigation step
• Integration layer preserving existing SIEM and EDR investments
• Real-time investigation progress visibility for SOC managers

Integrations

Pricing

Pros & Cons

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