StrongestLayer Raises $5.2M to Fight AI-Powered Phishing with TRACE

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In an era where generative AI is being used not just for productivity but for precision cybercrime, a San Francisco-based startup, StrongestLayer, is taking a bold stand. Backed by $5.2 million in seed funding from Sorenson Capital and others, the company is pioneering a radically new approach to cybersecurity with its AI-native platform TRACE (Threat Reasoning AI Correlation Engine).

This episode dives deep into what makes StrongestLayer’s technology different—and why that difference matters. Unlike traditional AI-enhanced tools, TRACE is built from the ground up around LLMs and continuous learning, enabling it to reason through intent rather than just detect patterns. It's capable of identifying AI-generated spear phishing, fake company websites, real-time adaptive phishing campaigns, and more—all with the cognitive power of over a thousand analysts.

We explore the fundamental shift from AI-enabled to AI-native security platforms, how TRACE uses reasoning engines instead of rule-based programming, and why traditional filters and blacklists are no match for today’s deepfakes, chat-based phishing, and polymorphic malware.

You'll hear insights from CEO Alan LeFort, who explains why human vigilance must evolve in lockstep with technology, and how StrongestLayer is not only detecting threats but training employees to spot AI-enhanced attacks in real time. We break down the risks, the defenses, and the growing arms race between AI-powered attacks and AI-powered defenses.

Whether you're a CISO, security analyst, or just someone worried about clicking the wrong link, this episode is a must-listen on the future of cyber defense.

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