Email security for Microsoft 365 and Google Workspace
Every email mixes good signs and bad. Our AI agents investigate them in your business context, stopping attacks without disrupting work.
Trusted by security teams at
AI now writes every attack from scratch and makes it look routine. Rules miss it because it’s new. Machine learning misses it because it looks normal. Agentic reasoning asks what the email is trying to do.
Blocked by StrongestLayer Caught on first sight. 
Chief Executive Officer
SVP of Security Awareness at Proofpoint, a ~$200M business. Part of the exec team that scaled McAfee Consumer from $1B to $2B in 7 years.
Chief Commercial Officer
GVP & GM of Human Risk at Proofpoint, the same ~$200M business, renamed. Global strategy & alliances at McAfee Consumer.
Chief Product Officer
Built email security for 15 years, from MailDistiller through its acquisition by Proofpoint, then at FireEye. Ran threat-intelligence products at Mandiant and Google, building for the world’s most security conscious companies.
Chief Technology Officer
Pioneered malware sandboxing at FireEye, which exposed attacks by watching what they did. Now architects TRACE, which exposes AI-generated attacks by reasoning about what they’re trying to do.
"We didn't build StrongestLayer because we saw an opportunity. We built it because we ran the teams that built the last generation of email security, and we know exactly where it breaks."
Previously at ProofpointMcAfeeGoogleMandiantFireEye / Trellix
Switch scenarios to see the full TRACE analysis behind an MFA-bypass phish, an executive impersonation, or a prompt injection aimed at AI assistants.
Invoice fraud scenario. An email from ar@acmelogistics.com with the subject “Updated banking details for Q3 invoice”.
What your filters saw: reputation trusted, signatures no match, attachment clean, dmarc pass, links none. Nothing for a rule or model to fire on.
What TRACE read: “…please use our updated banking details for all Q3 invoices before quarter close.”
Evidence agents found 3 evasion techniques: Real Acme mailbox, first-ever bank change ask (delivery trust); Asks AP to switch bank details by quarter-end (cognitive exploit); Clean PDF, but it carries the new bank details (pretext).
Your context: Acme: same remittance for 3 years; Quarter-end: extra scrutiny; Bank changes need a call-back.
TRACE’s reasoning: “Real vendor mailbox, but a first-ever bank change at quarter-end. Your AP policy requires a call-back, and none is referenced. Verdict: payment diversion.”
Intent: Redirect a vendor payment. Evasion: A trusted vendor mailbox. Personalization: Knows your vendor and cycle.
Verdict: detected, payment diversion. Pulled from inbox in ~30 sec. Reasoning logged.
A multi-LLM ensemble that reasons about every email's sender, intent, and infrastructure the way a human analyst would, and explains every verdict.
A verdict on every email, in plain English. Safe to trust, caution, or block. Right inside Outlook and Gmail, with the reasons why.
Explore Inbox Advisor
Cases close in seconds, not hours. Every alert arrives pre-investigated with an explainable verdict your SOC can defend.
Explore Threat TriageOne email becomes an organization-wide sweep. Hunt by sender, subject, URL, or domain across every protected mailbox, in under two minutes.
Explore Threat HuntMost mail is legitimate. Inbox Advisor says so, with the reasons, so people act with confidence instead of reporting everything.
Hi Alex,
Payment for Q3 invoice #4417 cleared on our side this morning. Thank you for the quick turnaround.
A stamped copy is attached for your records. No changes to our remittance details.
Best,
Dana Reeves · Accounts Receivable, Acme Logistics
Inbox Advisor powered by StrongestLayer 0.4%
of alerts were false positives
StrongestLayer deployment data, ~5,000-seat customer, 2026.
33 → 4
investigations a day
StrongestLayer deployment data, ~5,000-seat customer, 2026.
660 → 8
minutes of investigation a day
StrongestLayer deployment data, ~5,000-seat customer, 2026.
Defense in depth
Your gateway stays in place. StrongestLayer adds a reasoning layer inside the inbox and catches what slips past it. 15-minute API setup. No MX changes.
Consolidate your defenses
Drop the SEG and keep Microsoft or Google filtering. One less tool to license, tune and triage, so your team spends less time on rules and alerts. Same 15-minute setup.
"With generative AI, attackers craft highly convincing, targeted messages at scale, making traditional defenses obsolete. The real risk is in every human decision that follows."
347 AI attacks caught in 10 days that the gateway missed.
"StrongestLayer approached it cleanly: LLMs first, architecture built around them. It solves problems the legacy stack literally can't."
"Inbox Advisor saves my department hours every week by cutting down triage time on every alert. That rare tool that is both incredibly powerful and genuinely well-designed."
"Using an AI model to detect and quarantine phishing emails is far better than relying on the user to catch them. It helps us in the areas where our users have fallen short."
Reasoning this sharp raises a fair question: what are the models learning from? Not your mail. It's built into the architecture, not just written into a policy.
No customer email trains or fine-tunes a model, ever. Model weights stay fixed.
Safe mail is discarded the moment it's cleared. No logs, backups or snapshots of its content.
Inference runs on AWS Bedrock in US regions. AWS is our only subprocessor.
All customer data deleted within 90 days, confirmed in writing.
3.6%
CEO fraud, vendor-invoice redirect, payroll and W-2 fraud. The rest is noise that fills the queue.
86%
Attackers build on trusted domains and platforms. Authentication says who sent it, not whether it's safe.
4.1
Drawn from the 22 techniques in our Email Evasion Taxonomy. A filter that checks one at a time misses the combination.
See which generations of defense you’re running and what it takes to close the gap. Two minutes. No signup. Nothing changes in your environment.
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