# qevlar.com

> AI-optimized mirror of qevlar.com containing 50 pages totalling 50,869 words of clean markdown content, structured data, and semantic HTML. Original source: https://qevlar.com. Last updated: 2026-09-07T04:03:20.943Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Qevlar AI | Autonomous SOC Platform](/content/site-root.html): Let your SOC team focus on real threats. Not alert firefighting. (2,045 words)

## Articles & Blog Posts

- [Qevlar AI | Blog - Your AI SOC Doesn’t Understand the Incident](/content/post/ai-soc-understand-the-incident/index.html): Organizational context shouldn't decay, it should compound. Qevlar turns every investigation into sharper context for the next one. (3,434 words)
- [Qevlar AI | Autonomous Alert Investigation for MSSPs](/content/solutions/mssps/index.html): Empower analysts to deliver customized security solutions at scale. AI conducts end-to-end investigations of every alert and delivers comprehensive reports. (693 words)
- [Qevlar AI | Integrations](/content/integrations/index.html): Qevlar AI integrates with your existing security stack: SIEM, EDR, XDR, cloud, email, identity, and threat intelligence tools. Works where your analysts work. (255 words)
- [Qevlar AI | Autonomous SOC Platform for Hands-Off Defense](/content/autonomous-soc/index.html): Qevlar is the autonomous SOC that runs every alert end to end, with zero playbooks and no analyst in the loop. Your team handles only what needs a human. (825 words)
- [Qevlar AI | Frequently asked questions](/content/faq/index.html): Discover all Qevlar's frequently asked questions (1,668 words)
- [Qevlar AI | Blog - How to Autonomously Apply Business-Critical Context to All Relevant Investigations (Real Use Case)](/content/post/how-to-apply-business-context-to-alert-investigation.html): See how pre-configured business context turns a 20-minute manual investigation into a 3-minute automated analysis. This real case study demonstrates how Qevlar Memory eliminates repetitive context gathering, allowing your security team to configure organizational knowledge once and apply it automatically to every relevant alert. (1,782 words)
- [Qevlar AI | Blog - Build a SOC That Learns: Security That Improves While You Sleep](/content/post/build-the-soc-that-improves-while-you-sleep/index.html): AI made the SOC faster. The next step is a SOC that learns from every investigation and gets stronger over time. This article is a practical, staged plan for security leaders. (2,378 words)
- [Qevlar AI | Blog - AI Readiness in the SOC Exists, But Not the Way You Define It](/content/post/ai-readiness-in-the-soc-exists-but-not-the-way-you-define-it.html): In this interview, Rafal Kitab, Director of SecOps and Incident Response at ConnectWise, discusses building effective AI-powered SOCs: the critical foundations, avoiding hidden inefficiencies, and why junior analysts thrive with AI assistance. (2,528 words)
- [Qevlar AI | Blog - 7 Ways AI Helps SOC Teams Gather Context In Threat Investigations](/content/post/ai-for-gathering-context-in-threat-investigations/index.html): Context is what turns alerts into actionable investigations. This article breaks down 7 concrete ways AI SOC platforms like Qevlar AI autonomously gather technical, historical, and business context during threat investigations. Learn how AI-driven enrichment eliminates manual effort, accelerates investigations to minutes, and helps SOC teams focus on what truly matters. (764 words)
- [Qevlar AI | Blog - How Qevlar AI Follows Every Observable Until the Full Attack Is Visible (Real Case Study)](/content/post/how-qevlar-ai-follows-every-observable-until-the-full-attack-is-visible.html): When a CrowdStrike alert catches a suspicious executable, the instinct is to confirm it's malicious, quarantine it, and close the ticket. But what if the file was just the last step in a chain that started weeks earlier, and that chain is still active? In this real anonymized case, Qevlar AI starts from one EDR alert and autonomously surfaces 7 new observables, tracing a coordinated phishing campaign targeting 40 employees, an active account takeover, and an attacker already inside the network. (1,828 words)
- [Qevlar AI | AI SOC Platform for Self-Improving Defense](/content/ai-soc/index.html): Discover Qevlar, the AI SOC built on a deterministic graph orchestrator. It investigates every alert end to end, so your analysts focus on real threats. (651 words)
- [Qevlar AI | Blog - The Realistic Path to Cyber Defense Across IT, OT, and Cloud](/content/post/how-to-connect-it-ot-and-cloud/index.html): Most enterprises talk about unifying IT, OT and cloud security, but very few actually pull it off. In this interview, Ahmed has invited Daniel Kästle, former Head of Cyber Defense at Mercedes-Benz, to break down what it really takes to move from three isolated security worlds to a risk-driven cyber defense capability. (2,303 words)
- [Qevlar AI | Blog - Investigate Phishing Alerts in 3 Minutes with Qevlar AI (Real Case Study)](/content/post/how-to-investigate-phishing-with-ai/index.html): Phishing investigations typically take 20+ minutes of manual analysis across multiple security tools. This case study shows how Qevlar AI autonomously completes the entire investigation — from reported email to compromised account discovery —in just 3 minutes. (1,406 words)
- [Qevlar AI | Blog - How to detect incidents in an avalanche of alerts: a real case](/content/post/how-to-detect-incidents-in-an-avalanche-of-alerts-a-real-case.html): Meet Qevlar Incidents: AI Correlation that groups related malicious activity into a single, prioritized investigation, across any source in your stack. (1,391 words)
- [Qevlar AI | Careers](/content/careers/index.html): Passionate about AI and cybersecurity? Want to make a big impact at a small start-up? Join us. (822 words)
- [Qevlar AI | Blog - AI in SOCs 2026: 10 Predictions Every Security Leader Should Prepare For](/content/post/10-predictions-about-ai-in-security-operations/index.html): Explore key AI security predictions for 2026, covering how autonomous SOC agents, automated remediation, and investigation-centric architectures are redefining how enterprises and MSSPs operate at scale. (948 words)
- [Qevlar AI | Blog - Identity threat hunting, built into every investigation](/content/post/identity-threat-hunting-built-into-every-investigation.html): Meet Qevlar Identity Hunt, the identity analysis engine running autonomously every time a user is involved in an investigation (1,137 words)
- [Qevlar AI | Blog - The Great SOC Lie: Why We Hire Hunters and Turn Them Into Gatherers](/content/post/how-to-hire-soc-analysts-that-wont-quit/index.html): SOC hiring fails because the job analysts are promised is not the job the workflow delivers, making them quit within a year. Use your budget wiser: let autonomous AI handle triage, and have your analysts focus on strategic work. Read the full article to discover how it works. (1,269 words)
- [Qevlar AI | Blog - Caught Red-Clawed: How Qevlar AI Would Expose ClawHavoc Campaign](/content/post/how-qevlar-ai-would-expose-clawhavoc/index.html): OpenClaw has become one of the most exploited attack surfaces in enterprise environments, and most SOCs aren't ready. Based on a real threat pattern from the ClawHavoc campaign, this article walks through how a poisoned third-party skill hides inside low-severity alert noise, steals credentials, and establishes persistence before anyone looks twice. We show exactly how Qevlar AI investigates every alert, regardless of severity, and catches what manual triage misses. (1,168 words)
- [Qevlar AI | Blog - Social Engineering Attack In-Depth: AI Offense vs. AI Defense](/content/post/ai-offense-vs-ai-defense/index.html): AI is changing the cybersecurity game, but how are hackers leveraging this tech? Learn how AI can be both a weapon and a shield in the digital battleground., Use Loom to record quick videos of your screen and cam. Explain anything clearly and easily – and skip the meeting. An essential tool for hybrid workplaces. (1,189 words)
- [Qevlar AI | Blog - Designing AI systems As Collaborative Agents For Real Problems](/content/post/designing-ai-systems-as-collaborative-agents-for-real-problems.html): Google Cloud’s Dr. Anton Chuvakin and Qevlar AI’s CEO Ahmed Achchak cut through the hype, explaining why data quality (not AI itself) is the true barrier to automation, and what skills security teams will still need in an AI-augmented future. (1,323 words)
- [Qevlar AI Raises $30M to Shift Security Operations from Alert Firefighting to Organization-level Security Insights](/content/press/qevlar-ai-raises-30m/index.html): Qevlar AI has raised $30 million in funding for its autonomous AI SOC platform. The funding will be used to turn alert investigations into security insights that help SOC teams strengthen their overall security posture. (923 words)
- [Qevlar AI | Blog - AI SOC solutions market: what has changed in 2025 and how to choose the best AI solution for your SOC](/content/post/how-to-choose-the-best-ai-solution/index.html): What used to be a category defined by “AI copilots” and triage assistants has now evolved into a crowded landscape of agentic triage, investigations, and attempts at autonomous response. This guide breaks down what really changed in 2025 and how to evaluate the tools behind the hype. (1,063 words)
- [Qevlar AI | Blog - Atos takes a step forward on the AI augmentation for its Cyber security services with “Virtual SOC Analyst” powered by Qevlar AI](/content/post/atos-further-augments-the-ai-tooling-of-its-cybersecurity-teams-with-virtual-soc-analyst-powered-by-qevlar-ai.html): Atos and Qevlar AI announce a global strategic partnership to integrate Qevlar’s autonomous threat investigation AI into Atos’ cybersecurity operations, enhancing efficiency, trust, and compliance through Responsible AI and human-in-the-loop governance. Discover the full story. (866 words)
- [Qevlar AI | Intelligent Solutions for Enterprise](/content/solutions/enterprise/index.html): Struggling with SOC retention? Worried about missing a critical alert? Qevlar AI autonomously conducts end-to-end investigations to reduce burnout and maximize efficiency. (671 words)
- [Qevlar AI | Blog - AI vs Automation in the SOC: What Security Leaders Need to Know](/content/post/ai-vs-automation-in-the-soc-what-security-leaders-need-to-know.html): Discover how AI is transforming Security Operations Centers from rigid SOAR playbooks to autonomous SOC agents. In this in-depth interview, Qevlar AI’s CEO Ahmed Achchack and Snyk’s SecOps lead Filip Stojkovski unpack what real AI-driven security looks like, how to measure its ROI, and what questions CISOs must ask before adoption (981 words)
- [Qevlar AI | Blog - The Hidden Danger of Weak Signals. How False Positive Tuning Creates False Negatives](/content/post/how-false-positive-tuning-creates-false-negatives/index.html): Reducing false positives feels necessary, but aggressive alert tuning creates blind spots where low-and-slow attacks thrive. Learn why modern SOCs must rethink tuning, how weak signals get suppressed, and how AI can investigate every alert at scale to eliminate visibility gaps. (1,057 words)
- [Qevlar AI | Blog - The Wolf in Sheep's Clothing. How Qevlar AI Prevented the TamperedChef attack](/content/post/how-qevlar-ai-prevented-the-tamperedchef-attack/index.html): Discover how Qevlar AI stopped the TamperedChef malware attack in 4 minutes for its partners. TamperedChef turned out to be a global threat disguised as legitimate software, affecting 100+ organizations worldwide. (854 words)
- [Qevlar AI | SOC & Cybersecurity Glossary](/content/glossary/index.html): Cybersecurity terms defined for SOC analysts, CISOs, and security teams, from alert fatigue to zero-day. The reference glossary by Qevlar AI. (338 words)
- [Qevlar AI | Blog - Meet Qevlar Memory: Turn SOC Internal Wisdom Into Investigation Superpowers](/content/post/meet-qevlar-memory-turn-soc-internal-wisdom-into-investigation-superpowers.html): Forget scattered notes and lost tribal knowledge. Qevlar Memory lets your SOC team record critical context once and use it everywhere, ensuring fewer false positives, clearer investigations, and faster onboarding for new analysts. (983 words)
- [Qevlar AI | Blog - 5 Most Useful GPTs For Cybersecurity Teams](/content/post/gpts-for-cybersecurity-teams/index.html): Discover the top GPTs for cybersecurity teams at the GPT Store by OpenAI. Featuring tools like Betterscan.io AI Code Analyzer and HackTricksGPT. (754 words)
- [Qevlar AI | Streamline Identity Alert Investigation and Remediation](/content/solutions/identity/index.html): Autonomous end-to-end investigations, conclusive results, and comprehensive reports help analysts prioritize and remediate threats, fast. (262 words)
- [Qevlar AI | Need Help Prioritizing and Remediating Cloud Security Alerts?](/content/solutions/cloud/index.html): Qevlar AI autonomously investigates every cloud security alert, highlights which need your attention, and suggests remedial action. (245 words)
- [Qevlar AI Introduces AI Agents Unifying SOC and Vulnerability Operations](/content/press/qevlar-ai-introduces-ai-agents-unifying-soc-and-vulnerability-operations.html): Announcing the new capabilities that will enable security teams to correlate CVEs with live incident data for real-time risk prioritization, automatically identify asset owners to accelerate remediation, and autonomously hunt for active CVE exploitation. Expected by Fall 2026. (480 words)
- [Qevlar AI | Blog - Almond uses Qevlar AI to cut MTTR under 5 minutes and automate 80% of cyber alert responses](/content/post/almond-uses-qevlar-ai-to-cut-mttr-under-5-minutes-and-automate-80-of-cyber-alert-responses.html): Discover how Almond, a leading French MSSP, uses Qevlar AI to become more effective on the defense side in the advanced threat landscape. (598 words)
- [Qevlar AI | Network security alerts](/content/solutions/network/index.html): Overwhelmed By Network Security Alerts? Qevlar AI reduces noise & helps analysts isolate & remediate incidents faster with 24/7 autonomous alert investigation. (264 words)
- [Qevlar AI | Blog - I-TRACING Partners with Qevlar AI to Scale Managed Security Services in Europe](/content/post/i-tracing-partners-with-qevlar-ai-to-scale-managed-security-services-in-europe.html): I-TRACING, ranked among the Top 10 MSSPs worldwide, has partnered with Qevlar AI to scale its managed security services with an AI SOC platform. Qevlar AI will be deployed across allI-TRACING Security Operation Centers (SOCs), expanding the scope and depth of threat investigations delivered to more than 600 customers. (567 words)
- [Qevlar AI | Product](/content/product/index.html): Qevlar AI was designed to solve SOC teams' biggest challenges. Discover how our models are trained, how to easily customize your set-up, and more. (380 words)
- [Qevlar AI | SOC & Vulnerability](/content/soc-and-vulnerability/index.html): Break down silos between SOC and Vulnerability teams with an AI-native platform that streamlines every step of your vulnerability management workflows. (582 words)
- [Qevlar AI | Blog - How Qevlar leverages open source LLMs](/content/post/how-qevlar-leverages-open-source-llms/index.html): Qevlar AI combines proprietary models with open source LLMs like Llama, following an incubation hosted by Meta and HuggingFace. (441 words)
- [Qevlar AI | Cut Through The Noise. Respond To Phishing Threats Faster](/content/solutions/phishing/index.html): Around-the-clock autonomous alert investigation enables analsyts analysts to detect and neutralize phishing threats more efficiently. (232 words)
- [Qevlar AI | Customer story - GlobalConnect /](/content/customer-stories/global-connect/index.html): Discover how GlobalConnect uses Qevlar AI to autonomously investigate all email security alerts in under 4 minutes, freeing 2,500+ analyst hours and improving detection accuracy at scale. (291 words)
- [Qevlar AI | Customer story - Nomios /](/content/customer-stories/nomios/index.html): Discover how Nomios reclaimed the time and focus of 60 analysts, enabling higher-value work and support for more customers with Qevlar AI's autonomous alert investigation (310 words)
- [Qevlar AI | Blog - Addressing SOC analysts’ top 5 challenges](/content/post/infosecurity-2024-top-5-soc-analysts-challenges/index.html): At Infosecurity Europe 2024, the keynote held by Ahmed, CEO of Qevlar AI, on the top 5 challenges faced by SOC analysts drew a full house. (346 words)
- [Qevlar AI | Customer story - Sodexo /](/content/customer-stories/sodexo/index.html): Discover the full story about how Sodexo uses Qevlar AI’s autonomous SOC analysts to embed AI in the core of its security operations. (327 words)
- [Qevlar AI | Whitepapers - 3 Ways to Prove AI ROI: How MSSPs Get Budget Approved](/content/whitepapers/three-ways-to-prove-ai-roi-mssps/index.html): The 3 ROI drivers that leadership teams care about when evaluating AI investments, with examples from European and US-based SOCs. (176 words)
- [Qevlar AI | Customer story - Almond / FinTech](/content/customer-stories/almond/index.html): Discover how Almond, a major French MSSP, automated 80% of cyber alert responses and cut MTTR below 5 minutes using Qevlar AI’s autonomous alert investigation. Enhance your SOC efficiency with AI-driven remediation. (198 words)
- [Qevlar AI | Blog - Cybersecurity & LLMs](/content/post/index.html): Discover product news and get insights into the latest trends in cybersecurity and AI. Subscribe to our newsletter to get articles straight to your inbox. (4,315 words)

## About Pages

- [Qevlar AI | About](/content/about/index.html): Learn More About Qevlar AI (558 words)

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