Qevlar AI

More than 50 API based integrations across Microsoft Defender, Sentinel and Entra ID, CrowdStrike, Splunk, Elastic, AWS, Okta, Palo Alto, ServiceNow, Jira, Tines and others, with response actions such as blocking a suspicious IP or contacting the user.

They span SIEM, SOAR and ticketing, EDR and XDR, email, identity, threat intel, malware sandboxes, cloud and network tools, including Cortex XSIAM and XSOAR, Google SecOps, SentinelOne, Proofpoint, Mimecast, Zscaler and VirusTotal.

After an investigation, Qevlar moves to the next action: containment for malicious activity, tuning for false positives, or a policy or compliance follow up.

SourceQevlar AI, qevlar.com/integrations and qevlar.comread 2026-10-05

A graph based orchestrator, not an LLM, runs each investigation along structured, reproducible paths across the stack and follows the customer's procedures. It connects related activity into a single incident story, maps the full blast radius and moves containment forward. Qevlar does not describe branching, conditions, multiple agents or a flow customers build; each investigation follows the product's own pipeline.

SourceQevlar AI, qevlar.comread 2026-10-05

Investigations correlate telemetry and threat intelligence from the connected stack and draw on an organizational context of past investigations. For each MSSP client, the provider sets the enrichment and context sources Qevlar uses in every investigation, along with that client's business context. Qevlar does not describe an index or graph it maintains over the customer's own knowledge.

SourceQevlar AI, qevlar.com and qevlar.com/solutions/msspsread 2026-10-05

Investigations follow the customer's procedures with analyst control, and analysts can override any verdict and add context. Analysts review alerts judged malicious, confirm the outcome and take the next steps Qevlar suggests. Qevlar does not describe an approval step before a response action runs.

SourceQevlar AI, qevlar.com and qevlar.com/productread 2026-10-05

The platform supports SSO integration, with role based access and mandatory MFA on internal and production access, and holds a SOC 2 Type II attestation for the Security criteria. Data is encrypted with AES-256 at rest and TLS 1.2 or higher in transit, with keys held in GCP KMS, and an outside firm runs a penetration test every year. Qevlar does not train its AI models on customer data, and it notifies customers within 72 hours of confirming a personal data breach.

SourceQevlar AI, help.qevlar.com Data Privacy and Protection FAQsread 2026-10-05

Every verdict is transparent: analysts see every step and every observable queried in the investigation, and audit logs are kept for up to 12 months. Full investigation reports can go straight to a SOAR or ticketing system or be read inside Qevlar, and actions can be traced for compliance.

SourceQevlar AI, qevlar.com, qevlar.com/solutions/mssps and help.qevlar.com Data Privacy and Protection FAQsread 2026-10-05

When analysts override a verdict and add context, Qevlar applies it to future cases, and an organizational context keeps past investigations, so state carries across cases. That knowledge stays in the platform as shared intelligence when analysts move on, and each investigation sharpens the next. Qevlar does not say how widely that store applies or how long it is kept.

SourceQevlar AI, qevlar.comread 2026-10-05

Primary hosting is Google Cloud in Belgium with LLM inference on Azure in Sweden, customer data retained in the EU, and a Bring Your Own Cloud deployment through which customers can choose another region. Bring Your Own Cloud runs on GCP or Azure, and Qevlar can run as SaaS or in a private cloud. Setup goes through APIs and usually takes a few hours; the fastest so far took 10 minutes. Alert data is deleted 60 days after a contract ends unless agreed otherwise.

SourceQevlar AI, help.qevlar.com Data Privacy and Protection FAQs, qevlar.com/product and qevlar.com/solutions/msspsread 2026-10-05

One platform covers investigation, threat hunting, detection engineering and vulnerability prioritization, and Qevlar sells these as parts of one product rather than as separate ready made agents or templates.

The vulnerability agents, still in preview, blend CVE intelligence with live SOC signal into a contextual severity score, find each asset's owner from ITSM, identity provider and EDR records, and write and run threat hunts across the SIEM and EDR.

Qevlar packages the product for phishing, network, identity and cloud alerts, and MSSPs get a separate tenant for each client with its own investigations and settings.

SourceQevlar AI, qevlar.com, qevlar.com/soc-and-vulnerability and qevlar.com/solutions/msspsread 2026-10-05

New alerts from across the security stack start investigations with no analyst initiating them, alerts can be pushed in through POST /alert, and hunts run continuously. A pushed alert is accepted at once with a PENDING status. Hunt queries are written and run across the SIEM and EDR automatically, and the platform works around the clock.

SourceQevlar AI, help.qevlar.com SOC Workflow Integration API and qevlar.com/soc-and-vulnerabilityread 2026-10-05

Core reasoning runs in Qevlar's graph orchestrator, and LLMs handle narrow tasks such as enrichment and summaries on Azure inference in Sweden. Qevlar chose that single provider, and customers cannot choose a model. Inference stays under EU and EEA processing, and customer data is not used for training.

SourceQevlar AI, help.qevlar.com Data Privacy and Protection FAQs and qevlar.comread 2026-10-05

A documented REST API at api.qevlar.com with Bearer token auth submits alerts (POST /alert), returns investigation status and results (GET /alert/{id}), and publishes its reference at api.qevlar.com/redoc. A new alert returns an alert ID with a PENDING status, a status check returns IN_PROGRESS, FAILURE or the full results, and rate limits follow the subscription plan.

SourceQevlar AI, help.qevlar.com SOC Workflow Integration APIread 2026-10-05

Analyst overrides feed later cases. Qevlar publishes no evaluation harness, scored test cases, quality gate or optimization loop that customers run. It reports a 3 minute average alert investigation and up to 80% of tickets closed automatically, and says MSSPs using it report an average 300% return on investment.

SourceQevlar AI, qevlar.com/product and qevlar.com/solutions/mssps; qevlar.comread 2026-10-05

Qevlar does not describe an agent driving a browser, desktop or remote computer. Investigations and actions run through API integrations, and results can go straight into the team's SOAR or ticketing tool.

SourceQevlar AI, qevlar.com and qevlar.com/solutions/msspsread 2026-10-05