LIFE AFTER MYTHOS

Mythos didn't create your vulnerabilities. It just made them impossible to ignore. Your board is asking questions you don't have clean answers to. Your CEO forwarded you three articles this week. Your team is waiting for direction.

Cut through the noise

The threat landscape shifted. Permanently.

The real threat isn't in the software everyone is watching.

Project Glasswing focuses on heavily audited code, operating systems, browsers, critical infrastructure. Your exposure is in the legacy integration nobody wants to touch. The obscure vendor with production database access. The shadows. Do you know your full exposure?

AI is now doing the heavy lifting for attackers.

AI models are now capable of autonomously finding 0days and exploiting vulnerabilities. They're here, accessible to every attacker, and improving everyday.

A point-in-time pentest was already insufficient before Mythos. Now it's indefensible.

The pace of vulnerability exploitation just got significantly faster, and your testing cadence needs to match it.

The questions you're actually facing

Everyone is looking in the wrong place.

Project Glasswing made headlines by finding zero-days in OpenBSD, FreeBSD, Linux, and every major browser. Software that has been reviewed, audited, and hardened for decades.

That's impressive. It's also not where your risk lives. The real threat is in what nobody is watching. The legacy ERP integration your team inherited three years ago and nobody fully understands. The third-party vendor with read access to your production database. The subdomain spun up for a campaign that never got decommissioned. The shadow asset that doesn't appear in any inventory.

Mythos focuses on the most scrutinized software in the world. Attackers don't. They look for the path of least resistance, and in most enterprise environments, that path runs straight through the parts of your attack surface that feel too risky to touch and too obscure to prioritize. The question isn't whether you're vulnerable to what Mythos found. The question is what it would find in yours.

Full attack surface visibility, including what nobody is watching

Validated findings with proof-of-exploit

Real-world risk scores & compliance-ready reporting

What Mythos means for your next board meeting→

Read our CTO's take on the Mythos landscape shift

The hard truth

You can't defend what you haven't attacked first.

Accuracy in finding exploitable vulnerabilities

99.5%

The attacker only needs one open window. The defender needs to close all of them. Better AI doesn't eliminate that asymmetry, it makes it faster.

100% security is mathematically impossible. That was true before Mythos. What changed is the tempo. And the companies that come out of this moment stronger were already treating offensive security as a continuous operation, not an annual event.

We've been building autonomous offensive security for years. This is what we do, continuously, at scale, without source code access.

Exploit
Validated
Findings

150,000+

A Mythos-ready security program isn't a product.

It's a practice.

Full attack surface visibility.

Every asset, known and unknown, internal and external, legacy and modern, continuously in scope. No blind spots.

Continuous offensive testing.

Not annual. Not point-in-time. Autonomous testing that mirrors how a real attacker operates, against live systems, across your entire perimeter.

Validated, actionable findings.

AI-generated discovery is only valuable if findings are confirmed and mapped to real business risk. Noise is not intelligence.

Guardrails and operational control.

Autonomous doesn't mean uncontrolled. Defined scope, human oversight where it matters, audit trails, accountability.

Human intelligence where it counts.

Human hackers find what AI models miss: creative attack chains, business logic flaws, contextual vulnerabilities.

Built in Europe. Sovereign by design.

Where your security infrastructure runs, and who controls it, matters more than ever.

ethiack.listen_to_humans()

“The way Ethiack incorporates EASM with Automated Pentesting has brought us simplicity and proactivity in solving large-scale problems. As a group with so many exposed assets, doing this work manually was simply impossible. The main transformation was gaining a complete view on our surface, which we previously lacked. What we have publicly exposed, their vulnerabilities, and our impact in the cyberspace.”