StrongestLayer
StrongestLayer provides an AI-native email security platform for Microsoft 365 and Google Workspace that uses agentic reasoning to detect AI-generated attacks that bypass traditional signature-based and machine-learning defenses. The platform's TRACE engine runs a multi-LLM ensemble that analyzes email intent and business context, delivering explainable verdicts with a false positive rate below 1% at a 5,000-seat customer deployment.
- Cybersecurity
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Modern email attacks are written from scratch by AI, making them invisible to rule-based signature matching and statistical machine learning. Each individual signal—sender reputation, authentication status, attachment scan results—can appear normal on its own, allowing sophisticated threats to reach user inboxes.
Solution
StrongestLayer provides an AI agent-based email security layer for Microsoft 365 and Google Workspace that investigates emails within the business context to determine the actual intent of each message. Instead of relying solely on signatures or anomaly scores, the platform's agents ask what the email is trying to accomplish—such as redirecting a payment or requesting credential changes—and correlate multiple signals together. This agentic reasoning approach catches attacks on first sight, even when no known signature exists and every individual indicator seems routine. The solution is designed to block threats without disrupting legitimate workflows, deploying as a gateway overlay on top of existing email platforms.
Target Audience
Primary customers are security teams at mid-sized organizations, schools, municipalities, and enterprises using Microsoft 365 or Google Workspace that need protection against AI-generated email threats.
Features
- AI agents that reason about email intent and business context rather than matching signatures or thresholds
- TRACE (Threat Reasoning AI Correlation Engine) uses a multi-LLM ensemble with three reasoning engines per email—defense, prosecution, and provenance—so verdicts survive scrutiny
- Correlation of multiple weak signals (sender reputation, SPF/DKIM/DMARC, anomaly scores, attachment scans) into a unified threat assessment
- Detection of payment diversion and financial fraud schemes, including vendor bank-account changes and invoice redirection
- Works natively with Microsoft 365 and Google Workspace as an overlay security layer, deployable in approximately 15 minutes via API with no MX record changes
- Privacy architecture where isolated tools extract structured findings and the reasoning engine never sees raw email content; clean email is discarded immediately with zero bytes retained
- Three agent classes: Inbox Advisor (plain-English verdicts for employees), Threat Triage (pre-investigated cases with MITRE ATT&CK mapping for SOCs), and Threat Hunt (organization-wide sweeps by sender, subject, URL, or domain in under two minutes)
- Integrations with Microsoft Sentinel, Splunk, and Radiant Security via CEF, LEEF, and JSON formats