One AI Native Platform

Founded by experts tired of seeing threats discovered through casualties.

Enhanced security in minutes at a lower cost. Our AI platform detects AI-driven and complex attacks missed by traditional tools, offering superior protection without complicated setup.

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Our Story

Started by experts who wanted detection to happen before damage, not after.

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Years of Experience
Our Value

How We Detect What Others Miss

StrongestLayer’s detection pipeline is built on an LLM-native architecture that emulates human analyst reasoning at machine scale. By combining autonomous threat intelligence, behavioral inference, and contextual understanding, we detect novel phishing threats designed to bypass traditional defenses

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Multimodal Signal Ingestion

We ingest a broad range of structured and unstructured data - email content, metadata, browser activity, behavioral patterns, and environmental context - to build a foundation for analysis that goes far beyond pattern-matching or static rules.

Autonomous Threat Intelligence Enrichment

Our intelligence engine continuously enriches and correlates IOCs using passive DNS, infrastructure clustering, screenshot similarity, and AI-guided threat hunting - surfacing related artifacts and mapping zero-day threats before they appear in public feeds.

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Human-Like Contextual Reasoning

Our LLM-native architecture performs analyst-style reasoning by assessing sender-recipient relationships, linguistic tone, behavioral deviations, and broader business context - identifying novel threats with no prior signature or known pattern.

Verdict & Real-Time Enforcement

Our  detection engine synthesizes contextual insights, threat intel, and inferred attacker intent to deliver a final verdict—complete with MITRE TTP mapping, confidence scoring, and transparent reasoning paths. Decisions are enforced instantly (inline controls, banners, quarantine) with full explainability for SOC validation and forensic investigations.

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Why we do it

We saw criminal AI creating infinitely variable phishing attacks that bypass
every rule-based security system.

Traditional pattern-matching was dead - attackers were using the same LLMs to generate unique threats faster than defenders could adapt.

The problem:
While criminals weaponized AI for offense, cybersecurity was still fighting with yesterday's tools. Rules, signatures, and behavioral analysis couldn't keep up with AI that generates never-before-seen attacks.

Our breakthrough: Our solution thinks like expert security researchers - analyzing intent, correlating global threat intelligence, and predicting campaigns weeks before they launch. Finally, AI powerful enough to outsmart criminal AI.

Our Team

The People Behind the Platform

Our all-in-one platform simplifies your workflow so you can focus really matters growing your business.

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Alan Lefort
Co-Founder & CEO
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Muhammad Rizwan
Co-Founder & CTO
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Joshua Bass
Co-Founder & CPO
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Karen Letain
Chief Commercial Officer
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Don’t let legacy tools leave you exposed.

Tomorrow's Threats. Stopped Today.