TLS on port 443 — encrypted by default. So is everything we build.

Security tooling that actually runs, not slideware.

443 Secured builds practical, local-first, zero-trust security products — starting with PPA Sentinel AI, a prompt privacy agent that protects your prompts before they reach an AI chat tool.

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Secure by default
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Local-first
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Security response
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Product live
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Product live today
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Local-first by default
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Vulnerability ack time
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Promises shipped late
Who we are

Built by people who ship, not pitch.

Most security tools demo well. Fewer hold up against real, messy input. 443 Secured is built around the opposite bet: ship less, and make sure every feature we ship is real — running logic, not a scripted demo path.

  • Detection and defense logic runs on your machine by default.
  • Every masking or blocking action is re-checked before it's trusted.
  • Status is honest — live, or it's not shipped.
🔒

Local-first

Your code, prompts and traffic stay on your machine or infrastructure unless you explicitly choose otherwise.

🛰️

Zero-trust by design

Nothing is assumed safe until it's verified — including our own output.

📡

Real, not simulated

If a product says it scans, masks or blocks — that logic runs against your actual input.

⚡

Fast, honest status

Live is live. In development is in development. No aspiration posing as reality.

Featured product

One product. One security philosophy.

PPA Sentinel AI is live today — a prompt privacy agent that scans, masks, and verifies your prompts before they reach an AI chat tool. Real detection, verified output, no theater.

◌ COMING SOON
In research

Next product

The suite is expanding. We're investigating the next security gap worth solving — and it isn't announced until it's real.

What we do

Services on the same standard.

Engineering services built around one belief: security work should produce evidence, not slides.

🛡️

Prompt Privacy Protection

Scan, mask and verify prompts before they reach an AI chat tool — secrets never leave your machine unmasked.

Learn more →
🧭

AI Policy & Governance

Guardrails, usage policies and review loops for teams adopting AI tools without losing control of their data.

Learn more →
🔍

Web Application Security Review

Hands-on review of WordPress and custom web apps — request flows, plugins, auth and the patterns attackers actually use.

Learn more →
How we work

From real gap to running product.

The same path every engagement follows — start from reality, verify everything, stay honest.

01

Find the real gap

We start from an actual security failure mode — not a feature that sounds good on a landing page.

02

Build the working core

Detection, defense or instrumentation logic comes before any UI polish. If it doesn't work on real input, nothing else matters.

03

Verify, don't assume

Every product re-checks its own output — a masked prompt, a blocked request — before calling the job done.

04

Ship, then stay honest

Status reflects reality — live, or it's not shipped. No aspiration posing as a feature list.

Selected work

Proof, not promises.

A sample of products, audits and architecture work that came out of the same standard.

Product
🛡️

PPA Sentinel AI

A prompt privacy agent that scans code and prompts for secrets, credentials and internal identifiers before they reach an AI chat tool — masks them, verifies the mask held, and hands back sanitized text. 100% local by default.

PHPPrivacyAILocal-first
Architecture
🏗️

Zero-Trust Reference Stack

A reference architecture for small teams moving to zero-trust defaults: least-privilege identity, local-first data flow, and verification loops on every security action.

ArchitectureZero-trustReference design
Audit
🧱

WordPress Hardening Runbook

A practical hardening runbook for WordPress sites: request inspection, plugin exposure review, rate limiting on auth endpoints, and a local audit log that stays on the site.

WordPressWAFAuditHardening
Word from the field

What teams say.

"
PPA Sentinel AI caught credentials we had stopped thinking about — in code, in prompts, everywhere. The masking-verification loop is the first tool that treats its own output as untrusted.
Mira V.
Staff Engineer, fintech team
"
The review was the opposite of a slide deck: reproduction steps, priorities, and fixes that made sense in our codebase. We shipped the top five findings in two weeks.
Devon K.
Head of Platform, SaaS startup
"
We moved our AI tooling to a local-first policy and it didn't slow anyone down. The guardrails were designed around how we actually work, not the other way around.
Ana L.
Security Lead, product team
Get in touch

Have a security gap you're trying to close?

Whether it's a question about PPA Sentinel AI, a product idea, or a security review — we want to hear it.