StrongestLayer is an AI-native email security product designed for Microsoft 365 and Google Workspace, with the core goal of reducing Human Layer risk and stopping attacks that traditional rules and machine learning miss.
Purpose and positioning: Traditional email security relies on known signatures, sender reputation, attachment scanning (first-generation rules), or SPF/DKIM/DMARC and anomaly scoring (second-generation machine learning). StrongestLayer believes that brand-new AI-generated attacks will render these two generations of defenses ineffective, and therefore proposes a third generation, "Agentic Reasoning," in which the TRACE engine reasons about what each email is "trying to do," rather than merely matching known characteristics.
Main capabilities: TRACE is a multi-LLM ensemble reasoning engine that reasons about senders, intent, and infrastructure like a human analyst, and provides an explainable conclusion for each verdict. It includes three types of agents: the employee-facing Inbox Advisor, which gives a "trust/be cautious/should block" verdict and rationale in plain language within Outlook and Gmail; the detection-facing Triage agent, which pre-investigates each alert and provides a defensible verdict, shortening case closure time; and the SOC-facing Hunt agent, which can quickly scan across all protected mailboxes by sender, subject, URL, or domain, which the company says is completed within two minutes.
How to use: The company claims setup can be completed via API in 15 minutes, with no need to change MX records. There are two paths: one is to keep the existing gateway and, on top of it, overlay the reasoning layer in the inbox via API to catch emails that slip past the gateway; the other is to decommission the SEG gateway, keep Microsoft or Google native filtering, and have StrongestLayer assume protection, reducing the number of tools that need to be licensed, tuned, and triaged.
Use cases: Suitable for enterprise security teams using Microsoft 365 or Google Workspace, especially organizations hoping to reduce false positives, shorten alert investigation time, and compensate for existing gateways' shortcomings in detecting AI-generated attacks. Customers listed by the company include Teays Valley Local Schools, Corcept Therapeutics, Quick Intelligence, Engineered Assemblies, and Cedarville University.
Privacy and data: The company states that it does not use any customer email to train or fine-tune models, and model weights remain fixed; secure email is discarded immediately after passing the verdict, with no logs, backups, or snapshots retained; inference runs in the AWS Bedrock US region, and AWS is the sole subprocessor; customer data is certified-deleted within 90 days after leaving and confirmed in writing.
Limitations and gaps: The materials do not provide specific pricing, charging model, free trial details, supported email volume limits, or a complete feature list for each agent. Claims such as "15-minute deployment," "scan completed in two minutes," and "347 attacks caught in 10 days" all come from official promotional statements, and actual results may vary by environment. For product names, URLs, and installation-related commands, please refer to the official pages.