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Investigations, response, threat hunting, detection engineering, and vulnerability management powered by contextual intelligence that compounds with every action.

Qevlar investigates every alert across your stack, connects related activity into a single incident story, maps the full blast radius and moves containment forward, following your procedures, with analyst control.

Qevlar drives the next action: containment for malicious activity, tuning for false positives, and policy or compliance follow-up for benign violations. So every outcome improves your defences.

Autonomous hunting for emerging threats, attacker TTPs, behavioural anomalies, active exploitation, and patterns hidden across past investigations. Every finding becomes action. Every gap becomes a chance to strengthen detection.

Qevlar adapts to your environment, making investigations faster, decisions more consistent, and the entire SOC smarter with every cycle, regardless of analyst turnover.

A shared intelligence layer for prioritising real risk. Confirmed exploitation elevates vulnerable assets in the remediation queue immediately, and critical exposures on high-value systems become new hunt priorities for the SOC.


Every alert makes your defenses stronger. Detections improve. Coverage expands. Threats get prioritized. Faster and more intelligently each time.
Every investigation and hunt make the next one sharper. Knowledge stays in the platform, and becomes a shared intelligence across security teams.
Your SOPs and policies apply consistently across alerts,workflows, and shifts. Your security strategy becomes your operational reality.
Repetitive operational work handled. Every function in sync. Your team does more, focusing on decisions that matter most.
Connect your tech stack to Qevlar AI via API in minutes. See results directly in your console or ours.










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Qevlar AI enhances Almond CWATCH SOC’s ongoing optimization, joining Almond’s ecosystem of SOAR, SIEM, XDR, and its platforms ITERA (managed-as-code detection) and M&NTIS (attack simulation and cyber defense).

“Qevlar was first deployed to enhance our email security investigations. Its impact was immediate and measurable, leading us to expand it across our entire security perimeter.”

“We can now detect threats more quickly and accurately, while focusing our analysts' expertise on the most complex and critical incidents.”
“The integration of Qevlar's autonomous, adaptive agentic AI with Atos cybersecurity delivers incremental operational excellence to protect customer business.”

The business case was easy to validate due to the immediate ROI. We not only reduced operational costs significantly but also improved our operational security efficiency and excellence.

With Qevlar AI, our SOC analysts are now “augmented analysts”, capable of accelerating response times while maintaining quality. This partnership equips us to better protect our clients against evolving cyber threats.









Every verdict is fully transparent: analysts see every step, every observable queried, and the exact reasoning behind the conclusion — nothing is a black box.
Under the hood, Qevlar uses graph-based orchestration, so the same alert is investigated with the same rigor every time.
Analysts can also override any verdict and add context, and Qevlar applies it to future cases.
SOAR executes the static playbooks you've already written — and breaks every time your environment or threats change.
Qevlar AI does the investigative thinking: it enriches, pivots across your stack, correlates alerts into incidents, and adapts its path based on what it finds, with no playbook to maintain.
More on this: https://www.qevlar.com/post/qevlar-ai-and-soar-different-roles-one-mission
Most AI SOC tools stop at alert-by-alert triage. Qevlar AI closes the loop across investigation, response, threat hunting, detection engineering, and vulnerability management, correlating alerts into full incidents, building environment-specific intelligence that compounds over time, and bridging your SOC and vulnerability teams on one live picture.
Qevlar doesn't let an LLM run the investigation. The core is a graph orchestrator — reasoning and decision paths are structured and reproducible — with LLMs used only for narrow, bounded tasks like enrichment and summarisation.