We don’t have case studies yet.
We have a live scan.
Averrow is a new platform. We won’t manufacture a logo wall or a customer quote to pretend otherwise — that’s the kind of dishonesty a security vendor can’t afford. What we can show you is the actual gap we built this to close, exactly how detection works under the hood, and a free scan you can run on your own brand in the next five minutes to see for yourself.
Enterprise tools. Mid-market budgets. Nothing in between.
Enterprise brand-protection platforms cost $20,000 to $150,000+ per year — before you add the analyst headcount to actually operate them. That price point works for a short list of global enterprises. It doesn’t work for the much longer list of mid-market companies facing the exact same phishing kits, lookalike domains, and social impersonation — just without a seven-figure security budget to fight them with.
That gap is the reason Averrow exists: real threat coverage, priced for the companies the enterprise tools were never built for.
Three decisions that change the economics
Outside-in scanning, zero setup
No agents to install, no DNS records to hand over, no onboarding call required. Point Averrow at a domain and get a real exposure picture in minutes — because the detection works entirely from public signals.
AI-native, not AI-bolted-on
42 specialized AI agents work as a coordinated mesh — the same mesh detailed on our Platform page — cross-referencing email, domains, social, and threat feeds to reason about risk, not just list alerts.
Edge-native economics
Built on Cloudflare Workers, not a legacy server fleet with a license markup passed on to you. That infrastructure choice is most of the reason we can run 50–66% below incumbent pricing — not a discount, a different cost structure.
No black box: SQL does correlation, AI does narrative
Every threat Averrow surfaces starts as a structured match across phishing databases, malware URL feeds, threat-intel feeds, Certificate Transparency logs, DNS intelligence, and credential-breach intel — deduplicated and run through a false-positive filter and safe-domains allowlist before it ever reaches a human. That part is deterministic database work: fast, auditable, and repeatable. It doesn’t need AI, and we don’t pay AI tokens to do what a query can do in milliseconds.
AI enters after the correlation, not instead of it — the agent mesh takes the structured findings and writes the natural-language threat report, the composite Brand Exposure Score, and the daily intelligence briefing your team actually reads. The detection is the query. The AI is the analyst who explains what the query found.
What a Brand Exposure Report looks like
The card below is illustrative sample data for a fictional brand — not a real customer, not a real domain. It exists to show the shape of the output. To see your own numbers, run the free scan.
- HIGH acme-secure-login.net — registered 6 days ago, active MX records
- MED SPF record missing a hard-fail qualifier (spoofable)
- LOW @acmecorp_support — unverified handle, low follower count
Built to be checked, not just believed
We’d rather list what’s actually in place today — and be specific about what’s scheduled — than round up.
The free scan is the proof, not a marketing gimmick
Instead of asking you to trust a case study that doesn’t exist yet, we’d rather you run the scan on your own domain. No signup, no credit card — you’ll see your real email posture grade and whatever public threat signals exist against your brand today.
What replacing 2–3 monitoring analysts actually means
Averrow’s agent mesh performs the continuous correlation and triage work that would otherwise require dedicated headcount — watching feeds around the clock, cross-referencing signals across email, domains, and social, and drafting takedown evidence. Call it the equivalent of 2–3 security analysts doing that work full time. That’s not a hire you have to source, train, and retain to get the same coverage — it’s a platform you turn on.
We’re not going to cite a customer savings number we don’t have yet. This is a value argument, not a fabricated statistic: the cost of the coverage versus the cost of building it yourself with people.
Ready to see it on your own brand?
Get a guided walkthrough on your real data, or run the free scan first — your call.