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Agentic Cybersecurity

Secure Your Critical Infrastructure With AI-Native Defense.

The cost of advanced cyber capability is collapsing. Attackers will use it. You need to use it first to make sure your operations are protected and defended. We bring AI-native red, blue, and green teaming into your organization.
Let's stress test what you run
Let's stress test what you run

ML6 is your European bridge to the frontier labs that ship the most advanced models. Benefit from our AI experts working alongside your cyber team, to get access to the most advanced cyber models.

  • European by Design

    European, not "European provider only". We help regulated organisations use the best available models while respecting sovereignty, compliance, and data boundaries. GDPR, NIS2, DORA, and EU AI Act are native to how we build.

    AI Governance
  • Frontier Partnerships

    Direct lines into the labs and the security stack, with day-zero access to evaluate with, and against. Model agnostic by design; provider switching is a feature, not a workaround. When a safer or stronger model ships, you switch.

    Our partnerships
  • Production Track Record

    We're the ones who do, not just talk. We already have Agentic Cybersecurity in production with a national cyber authority, a defense alliance, and the world's largest security vendor. Real systems, not slideware.

    Our public cases

You can't afford to wait
and "see how things evolve"


Three forces converged in 2026. Each one on its own would matter. Together they close the window to prepare.

01
AI crossed
a threshold

Frontier models no longer just suggest. They investigate, verify, and act under guardrails. Today's models behave like autonomous security analysts: they inspect code, reason over architecture, operate tools, connect weak signals, and test attack paths.

 

02
The risk is
here now

Frontier models have already surfaced thousands of zero-day vulnerabilities across major operating systems and browsers, including flaws that survived years of review. And this is just within weeks of their release. Prompt injection, agent hijacking, model poisoning, and tool-call exfiltration are the new attack primitives.

03
The market
is moving fast

The labs are shipping security programs with AWS, Cisco, Google, Microsoft, NVIDIA, and Palo Alto Networks. Meanwhile, CSA reports 82% of enterprises have unknown AI agents, and 65% had an AI-agent security incident in the past year.

Our engineers augment your
security team, not replace it.

Three teams TO
SECURE WHAT MATTERS.

Stress test.  Defend Live.  Build Secure.

Stress test what already runs. Defend it live. Build the next system secure by default. You pick the entry point; we bring AI-native engineering and AI cybersecurity expertise. You bring eager learners:  we believe in  mixed teams from day one, so the capability stays in-house when we leave.

RED TEAM
Stress test what already runs. AI-driven penetration testing across black-box, grey-box, and white-box scenarios, with human validation at every step.

Static code screening. Legacy CVEs and day-zero issues via frontier or cyber-specialist models.
Dynamic pen testing. Agentic pentest frameworks mapping attack surfaces and probing live applications.
BLUE TEAM
Discover and design high-value AI SOC use cases, integrate the tools you already run, and get frank advice on buy versus build.


Alert triage & detection engineering: cut analyst fatigue, scale SOC throughput.
Threat intel & anomaly detection:  behavioral monitoring, malicious access signals, enrichment workflows.
GREEN TEAM
Build secure by default. Adapt the SDLC for AI and prevent the next vulnerable system from ever shipping.

 

Secure SDLC redesign: AI coding policies, secure boilerplates, agents.md
CI/CD security: pre-go-live screening, SBOM, supply-chain scanning
Model and agent governance: guardrails, evaluations, attack-vector testing

Race ahead,
while others experiment.

The difference isn't a tool. It's whether AI-native security is running inside your organization before it's running against it.

Aspect

No AI-native capability

Buy product

Build with ML6

Security impact

Issues remain hidden or
unvalidated longer

Better coverage for supported
use cases

Higher-confidence findings through application-specific verification

Speed

Periodic and human-limited

Fast AI-assisted discovery and triage

AI-assisted triage and discovery in existing workflows

Patch gap

Discovery, fixing, and verification stay disconnected

Issues are found faster, but remain disconnected from the fix

Introduces AI-native engineering into your organization to close the patch gap

Fit & capability

Existing teams carry the workload

Team must adapt to the product

Adapted to your organization while ML6 upskills your teams

Control

No AI dependency, but no AI leverage

Vendor, model, and roadmap dependent

Model-agnostic and designed around your data and tooling

Agility

Defense tempo falls behind

You follow the vendor roadmap

Full control over the features you need
Sebastian Wehkamp 5
Sebastian WehkampPrincipal Engineer Cybersecurity

PROTECT WHAT MATTERS WITH SECURE AI.

  Bring your cyber team and one workload. In half a day, we'll show you where AI-native security pays off first.
Talk to our team
Sebastian Wehkamp 5
Sebastian WehkampPrincipal Engineer Cybersecurity

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