About
Qevlar AI is an autonomous Security Operations Center (SOC) platform designed to transform how security teams handle alert triage and investigation. Instead of forcing analysts to manually sift through high volumes of noisy alerts, Qevlar AI autonomously investigates every alert with the depth of a Tier-2 or Tier-3 analyst — in under 3 minutes on average. At the core of Qevlar's approach is deterministic graph-based orchestration, which eliminates LLM hallucinations by ensuring each investigation follows a validated, structured path with built-in self-checks. This graph reasoning connects signals across your entire environment — SIEM, endpoint, cloud, identity, and network — to correlate disparate events into coherent attack campaigns and surface what truly matters. Key capabilities include autonomous 24/7 alert investigation, cross-investigation correlation that reveals attacker patterns invisible to per-alert triage, root cause analysis with remediation guidance, and organizational context that builds over time. Qevlar integrates seamlessly via APIs with any SIEM, EDR, XDR, SOAR, and threat intelligence platform — with no playbooks, LLM training, prompting, or extra consoles required. Qevlar is purpose-built for MSSPs, MDRs, and enterprise security teams that need to scale operations without scaling headcount. Security leaders using Qevlar report up to 80% of tickets closed automatically, significantly reduced MTTR, and meaningfully happier SOC analysts freed from repetitive, low-value alert work.
Key Features
- Autonomous Alert Investigation: Investigates every security alert automatically with Tier-2/3 analyst depth, gathering evidence and context so analysts only handle confirmed threats ready for remediation.
- Graph-Based Reasoning Engine: Uses deterministic graph orchestration to connect signals across your entire environment — eliminating LLM hallucinations and ensuring structured, validated investigation paths.
- Cross-Investigation Correlation: Correlates findings across multiple investigations over time to surface attacker patterns, campaigns, and repeat infrastructure invisible to per-alert triage.
- Universal Security Stack Integration: Connects via API with any SIEM, EDR, XDR, SOAR, and threat intelligence platform in hours — no playbooks, training, or additional consoles required.
- 24/7 Consistent Investigation Quality: Operates around the clock at consistent speed and quality regardless of alert volume, type, or time of day, enabling teams to manage any workload without scaling headcount.
Use Cases
- An MSSP uses Qevlar to autonomously triage and investigate hundreds of client alerts daily, closing 80% automatically and escalating only confirmed threats to human analysts.
- An enterprise SOC team deploys Qevlar to correlate endpoint, SIEM, and cloud signals across investigations, uncovering a multi-stage phishing and credential-theft campaign that per-alert triage had missed.
- A security operations team reduces mean time to respond (MTTR) by relying on Qevlar's pre-built evidence summaries and root cause analysis, enabling faster and more confident remediation.
- An MDR provider integrates Qevlar via API with their existing SIEM and XDR stack in under an hour to achieve 24/7 investigation coverage without hiring additional overnight analysts.
- A CISO uses Qevlar's organizational context and cross-investigation correlation to identify repeated attacker infrastructure and systemic security gaps across their environment over time.
Pros
- Rapid Deployment: Deploys in just a few hours — with the fastest recorded setup taking only 10 minutes — minimizing disruption to existing SOC workflows.
- Hallucination-Free Results: Deterministic graph orchestration ensures investigations follow validated paths with built-in self-checks, delivering reliable, evidence-based outcomes without LLM randomness.
- Massive Alert Volume Reduction: Automatically closes up to 80% of tickets, dramatically reducing analyst workload and allowing teams to focus on genuine, high-priority threats.
- No Playbook Maintenance: Requires no manual playbook creation, LLM training, or prompting — reducing ongoing operational overhead compared to traditional SOAR-based automation.
Cons
- Enterprise-Only Pricing: Qevlar is a premium enterprise product with no publicly available pricing or free tier, making it inaccessible to smaller security teams or individual practitioners.
- Demo-Gated Access: Prospective users must book a demo call to evaluate the platform, slowing down self-service exploration and time-to-evaluation.
- Niche Use Case: Designed specifically for SOC, MSSP, and MDR environments — not applicable to organizations without a formal security operations function.
Frequently Asked Questions
How long does it take to deploy Qevlar AI?
Qevlar can be deployed in your SOC environment in just a few hours. The fastest recorded setup took only 10 minutes. It connects to your existing security tools via APIs with no playbooks or LLM training required.
What security tools does Qevlar integrate with?
Qevlar integrates via APIs with any SIEM, Threat Intelligence (TI), EDR, XDR, and SOAR platforms. There is no proprietary console required — it works within your existing security stack.
How does Qevlar avoid AI hallucinations in investigations?
Qevlar uses deterministic graph orchestration rather than open-ended LLM generation. Each investigation follows a defined, validated path with built-in self-checks, ensuring structured and evidence-based results without hallucinations.
What percentage of alerts can Qevlar close automatically?
Qevlar can automatically close up to 80% of tickets, with an average investigation time of under 3 minutes per alert. It operates 24/7 with consistent speed and quality regardless of alert volume.
Who is Qevlar designed for?
Qevlar is built for MSSPs, MDRs, and enterprise security teams that need to scale SOC operations, reduce analyst burnout from alert fatigue, and surface real threats faster without increasing headcount.
