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Free webinar for SOC leaders

Building a Trustworthy AI SOC

Practical guidance for SOC leaders.

Most SOC leaders don't trust AI to run investigations, and rightly so, because LLMs are inherently inconsistent.

But the most advanced SOC leaders know the real gold lies in hybrid architectures that combine the analytical power of LLMs with deterministic orchestration. This approach transforms LLMs from unpredictable copilots into reliable, production-grade SOC analysts.

The webinar is based on the experiment every CISO should know about

At Qevlar AI, we ran an experiment that every CISO and SOC leader considering AI should know about. The question was simple:

Can LLMs investigate alerts consistently enough to be trusted in production?

To find out, we took 180 real security alerts from enterprise environments. Each one required between 3 and 20 steps to investigate. Then we asked an LLM to run the same investigation 100 times per alert.

180
real enterprise alerts
100
runs per alert
18,000
investigations in total

The results were eye-opening:

Critical steps were sometimes skipped entirely
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The "most common" investigation path was rarely followed more than 75% of the time
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For complex alerts, the model produced almost as many different investigation paths as attempts
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Identical alerts sometimes ended with different severity ratings
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What you will learn

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Why identical alerts can lead to wildly different outcomes with LLMs (no vendor will ever be able to fool you with their shiny promises of "100% AI SOC).
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A practical framework for embedding LLMs inside deterministic, graph-based orchestrators for fast and reliable investigations
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How forward-thinking CISOs are using hybrid AI to reduce noise, accelerate response, and scale analyst capacity

Hosted by a builder of autonomous AI SOC analysts

This session is hosted by Ahmed Achchak, CEO and co-founder of Qevlar AI. With a background in machine learning and engineering across leading banks and startups, Ahmed brings an AI-first perspective to cybersecurity. At Qevlar, he's pioneering autonomous AI SOC analysts that help Global Fortune 500 enterprises and leading MSSPs investigate alerts with speed and consistency.
Ahmed Achchak
CEO & Co-founder, Qevlar AI
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You walk awayable to

We’re supportive and accountable

Ensure consistency and auditability in AI-driven investigations

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Bring investigation times down to under 3 minutes per alert

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Reduce false positives while holding detection coverage

We’re outcome-focused

Free your analysts to focus on proactive defense and high-impact work

Get the full webinar, free

Every download includes our AI SOC buyer's guide. It walks through the pros and cons of each category and compares standalone AI SOC platforms head-to-head with the AI capabilities built into incumbent detection tools.

We get shit done

18 evaluation criteria across six dimensions, from stack fit to broader SOC workflow enablement. You'll know which path fits your stack, the questions to ask each vendor, and the hidden pitfalls to avoid before committing.

Want to make the attackers life a bit harder?

Building a Trustworthy AI SOC

Building a Trustworthy AI SOC

The most advanced SOC leaders know the real gold lies in hybrid architectures that combine the analytical power of LLMs with deterministic orchestration. This approach transforms LLMs from unpredictable copilots into reliable, production-grade SOC analysts.

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