//Company
Security that keeps up with how people build now.
A generation of builders ships production apps written mostly by AI: fast, capable, and full of mistakes no CVE database describes. Flare.ai is the security review they never had, built to earn trust rather than trade on fear.
Traditional scanners look for known vulnerabilities and malware signatures. The mistakes AI code generators make are neither. They’re architectural flaws in syntactically perfect code that does exactly what was asked: a service-role key passed to a client component, a server secret renamed to NEXT_PUBLIC_ to silence a build error, an /api/chat route wired to a model with no auth check. Nothing in a CVE database describes any of it, which is why it reaches production.
Paste a URL and you get a real audit: the same standards a security team uses, in plain English, with the exact fix. It reads the places bundle scanners can’t, connects findings that are only dangerous together, and runs from your editor or your CI. Everything it does is read-only.
What we believe
The hard part of security was never the fixing. It’s knowing what to trust. Every scanner can produce findings; the ones worth using are honest about which findings matter. That belief shapes the whole product.
Verify, don't assume
A pattern match tells you something looks like a key. It doesn't tell you the key still works. We check every credential against the provider that issued it, so a finding says “this is live, rotate it” or “this was already revoked”, never just “this looks like it might be a problem.”
A revoked key is not an emergency
Most scanners report everything that matches at the same volume, so people learn to ignore all of it. We grade on what's true: a live key is critical, a rotated one drops to medium. A tool willing to tell you something is less serious than it looks is one you believe when it says something is worse.
“We don't know” is a feature
An AWS access key ID can't be verified without the paired secret, which we don't have and don't want. So we say so, and mark it unverified, rather than guessing to fill a column. A scanner that guesses will eventually guess wrong about something that matters.
No fear, no invented stakes
We don't put a dollar figure on your exposure or tell you a breach is imminent. We tell you what's exposed, where, and how to fix it, then we stop. Security tooling that runs on anxiety is how teams end up ignoring it.
What we’re honest about
Flare.ai scans from the outside, the way an attacker sees your app, plus your source in your own CI. A clean result means these checks passed, not that your app is bulletproof. No automated tool can promise the second thing, and we won’t pretend to. Connected scanning of your live database and git history is on the way and labelled as such wherever it appears, never dressed up as something that already ships.
We’re early, and we’d rather tell you exactly where the edges are than sell past them. That’s the same standard we hold the scanner to.