Hey, it’s Gio.

Last time, I shared how Octane flagged a critical double-charge bug during onboarding with a team building a prediction platform, the kind of subtle logic error that can slip past even reputable manual auditors.

We broke down how we use a severity matrix to prioritize these issues based on impact and likelihood.

But that kind of result doesn’t happen by accident.

It happens because we’re set up differently from the start.

Today, I want to go through exactly what onboarding with Octane looks like and why teams start seeing value in just a few days.

What onboarding usually looks like

In the manual auditing world, onboarding into an audit isn’t fast or particularly useful.

You send over your repo.
You fill out a scoping doc.
You wait 2–6 weeks just to get on someone’s calendar.
Eventually, you have a 30-minute kickoff call where someone asks basic questions about your architecture.
Then the auditors disappear for a few weeks while your team waits.

Sometimes you don’t hear anything until a PDF report shows up in your inbox.

At that point, onboarding is technically over. But all the actual work (triaging, patching, re-auditing) is just beginning.

It’s slow.
It’s one-way.
And it leaves your dev team flying blind while critical issues might already be live in production.

What onboarding with Octane actually looks like

Instead of waiting for you to finish building, Octane plugs in as you build.

Here’s what happens when a team signs up:

1. Plug into GitHub

We start by connecting Octane to your repo. It’s a simple GitHub integration, no new tooling or environment changes required.

Once connected, we scan your full codebase in minutes, not weeks.

That means you start seeing findings on day one. Not after a month of waiting.

2. Walk through every finding live

We set up two 30-minute onboarding calls and that’s it.

On those calls, our security engineers walk your team through each finding:

• What it means

• Why it matters

• Whether it needs to be patched

This isn’t a PDF dump. It’s a live, developer-to-developer review session to make sure your team knows what to prioritize and why.

If you're coming from the world of passive audits, this part feels much different.

3. Tune our models to your codebase

If your team flags a finding as irrelevant or low-priority, we don’t just ignore it.

Our system uses that feedback to improve results, learning what matters to your specific contracts and how your team writes code.

That means the more you use Octane, the better it gets at surfacing only the findings you care about.

4. Continuous scanning goes live

From that point forward, Octane scans every new pull request your team opens.

You decide when to scan (e.g, during PRs, at the end of a sprint, after a new module is written). Anytime your team makes a pull request, Octane can automatically scan it or you can run scans manually, depending on your workflow

No scheduling. No bottlenecks. Just vulnerability detection built into your existing workflow.

What’s the lift for your team?

Surprisingly little.

We’ve worked with teams that got fully onboarded in less than a week.

All it takes is a GitHub integration and two short calls. From there, Octane fits into the way your team already works, scanning code as it’s written and getting smarter over time.

No new language to learn.
Just better security in your workflow.

Next time, I’ll break down how a missing access control on an oracle feed led to a $1.1 million exploit and how Octane could have prevented it.

More soon,
Gio

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