Insider Brief
- StrongestLayer has launched from stealth with $5.2M in seed funding to combat AI-driven phishing attacks using an LLM-native email security platform that detects threats through reasoning and intent analysis.
- Its proprietary TRACE engine mimics the cognitive abilities of thousands of analysts to detect AI-generated threats, convict fake sites, and deliver real-time training to employees based on attack patterns.
- Founded by veterans from Google, McAfee, and FireEye, the platform has already flagged 3.9 million fake websites and is positioned as a next-gen alternative to outdated, pattern-based email security tools.
PRESS RELEASE — StrongestLayer, a cybersecurity company developing AI-native email security and human risk solutions, has officially launched from stealth with $5.2 million in seed funding led by Sorenson Capital with participation from Recall Capital.
As generative AI tools become widely accessible, cybercriminals can now create sophisticated, personalized spear-phishing campaigns in seconds with zero technical expertise. Recent research from Harvard Kennedy Schoo l shows that AI can fool over 50% of humans while reducing attack costs by 98%, creating detailed profiles on 88% of employees using publicly available data. Meanwhile, 85% of cybersecurity professionals attribute the recent increase in cyberattacks to generative AI use by bad actors.
Revolutionizing Email Security with AI-Native Defense
To combat these growing challenges, StrongestLayer has developed the industry’s first truly LLM-native cybersecurity platform that fundamentally reimagines how organizations defend against email-based attacks. Traditional email security solutions rely on pattern-matching and static rules, which AI attackers can rapidly circumvent through advanced linguistic manipulation and deep personalization. StrongestLayer’s platform uses advanced reasoning and intent analysis to detect malicious communications regardless of how they’re worded or weaponized. Beyond detection, this LLM-native understanding enables the platform to train employees to identify and report suspicious emails based on the specific attack patterns targeting their organization.
Developed by Muhammad Rizwan, Joshua Bass and Alan LeFort -cybersecurity experts with deep domain knowledge honed at Proofpoint, FireEye, Mandiant, Google, and McAfee — the platform leverages decades of collective experience in email security and threat intelligence.
“We’re witnessing a fundamental shift in the threat landscape,” said Alan LeFort, CEO and Co-Founder of StrongestLayer. “When attackers can generate perfect phishing emails that bypass traditional pattern-matching systems and fool the most security-aware employees, we need AI fighting AI. Our LLM-native approach doesn’t just catch traditional threats — it’s specifically designed to detect and stop the sophisticated reasoning and evasion tactics of AI-powered attacks.”
Revolutionary LLM-Native Detection Architecture
StrongestLayer’s platform represents a paradigm shift from pattern-based detection to reasoning-based analysis. The company’s proprietary “TRACE” (Threat Reasoning AI Correlation Engine) platform orchestrates multiple AI engines to provide expert-level threat analysis, emulating the cognitive capabilities of over 1,000 security analysts. This approach enables the detection of AI-generated attacks that can easily circumvent traditional string-matching rules and blocklists.
The platform also addresses the evolution of phishing attacks — from fake emails to sophisticated schemes where attackers use AI to create fictitious companies that send authentic-looking communications. StrongestLayer has developed predictive campaign detection, which allows it to detect and convict fraudulent phishing sites just days after they are created. In the last 12 months, they have detected and convicted 3.9 million fake company websites.
“Traditional email security was built for a world where attackers needed technical skills to craft convincing phishing emails,” said Ken Elefant, Partner at Sorenson Capital. “Now that AI can generate personalized, sophisticated attacks at scale, we need a fundamentally different approach. Alan and his team have deep experience with the limitations of pattern-based detection, and their LLM-native platform is the first solution we’ve encountered that can truly reason through malicious intent, like a human analyst, but with the speed and scale of a superpowered machine.”
“The email security market is massive, but dominated by legacy platforms that weren’t built for this AI-driven threat landscape,” Somrat Niyogi, General Partner at Recall Capital. “Alan, Riz, Josh, and the StrongestLayer team deeply understand where the gaps are — and they’re taking a fresh, LLM-native approach that’s exactly what this market needs right now.”
About StrongestLayer
Founded in 2024, StrongestLayer is pioneering LLM-native cybersecurity solutions designed for the AI era. The company’s platform combines advanced threat detection with personalized human risk training to protect organizations against both traditional and AI-powered email attacks. Headquartered in San Francisco, StrongestLayer is backed by Sorenson Capital, Recall Capital and leading cybersecurity industry veterans. Learn more at www.strongestlayer.com.
