Secure · CISO · Cyber Defense

IT Security

We make you legitimate and hard to breach.

The problem

A data breach now costs €3.82M on average. Public administration is the number one target, and one in six attacks is already AI-driven. The numbers climb every single year, while most institutions still have no one who owns cyber defense by name.

€3.82M

average cost of a data breach

38%

of attacks target public administration, the #1 sector

ENISA

1 in 6

attacks is already AI-driven

How we enter

  1. 01 · Enter

    Data Security Health Check, we map your exposure in weeks, not quarters.

  2. 02 · Deliver

    A concrete cyber defense concept: priorities, owners, budget, timeline.

  3. 03 · Scale

    Secure IT on retainer, we execute the concept, permanently.

CUSTOMERLive cyber defense mandate with a state agency: full cyber defense concept and ongoing execution.

Data Security Health Check

A named, bounded first step that turns a worry into a plan.

“If the regulator audited you next month, could you prove you did enough?”

Entry
2–4 week assessment
Scale
Cyber defense concept → secure IT retainer

CISO-as-a-Service

A senior cyber defense owner on your org chart, without the hiring cycle.

“Who owns your cyber defense today, by name?”

Entry
Day rate, ongoing
Scale
Governance, audits, incident readiness

Sovereign · Migration · Infrastructure

IT Sovereignty

We move you onto European, self-hosted ground.

The problem

70% of Europe's cloud sits with US hyperscalers. European providers are down to 15%, from 29% in 2017. Under oath, Microsoft France's legal director conceded the company cannot guarantee European citizens' data will never be handed to US authorities. If your data lives on US clouds, someone else holds the final key.

70%

of the EU cloud market runs on AWS, Azure & Google

Synergy Research

15%

is left for European providers, down from 29% in 2017

How we enter

  1. 01 · Enter

    Sovereignty Audit, which systems are exposed, and who could reach your data.

  2. 02 · Deliver

    The fastest quick-win migration: one system, moved and proven.

  3. 03 · Scale

    Full stack migration, then managed maintenance on retainer.

CUSTOMERMigrated an SME fully to self- and EU-hosted solutions, and rebuilt their company-wide production pipelines. Our own production stack runs on Hetzner.

EU / self-hosted migration

Move off US SaaS without stopping the business.

“Where does your data actually live, and who could access it in an emergency?”

Entry
Sovereignty Audit
Scale
Quick win → full stack move

Self-hosted IT & AI infrastructure

Nextcloud, Ollama, your own GPUs, a backbone you control.

“What does it cost you if your US SaaS is switched off tomorrow, or triples in price?”

Entry
Infra assessment
Scale
Managed, automated maintenance

Smart · Agents · Data · ML · RAG

AI & Data

We make your AI safe, sovereign and useful.

The problem

63% of companies have no AI governance at all. Your people already use AI, just uncontrolled. Shadow AI adds €576k per breach, because 97% of AI-related breaches lacked access controls. Meanwhile the capability curve went vertical: agents now complete 12-hour expert tasks, doubling roughly every four months.

63%

of companies have no AI governance

+€576k

shadow-AI cost added per breach

12h

of expert work an agent completes in one go, doubling every ~4 months

METR

How we enter

  1. 01 · Enter

    Agent Readiness Check on one concrete use-case.

  2. 02 · Deliver

    One governed, EU-hosted agent in production.

  3. 03 · Scale

    Expand across teams, data pipelines and workflows.

CUSTOMERAn agent running on OpenClaw and Signal, with row level security and granular permissions, runs company organisation, todos and CRM at the Cross-Border Dialogue. We also build agentic AI for health sciences.

Governed AI agents

Your business in one conversation instead of a dozen tabs, on European infrastructure.

“Everyone talks about the agentic revolution, but you still feel like you are wrestling with regulations?”

Entry
Agent Readiness Check
Scale
One agent → many use-cases

Data processing pipelines

Everyone has data. Few can turn it into an agent that actually works.

“Are your data even ready for an AI agent?”

Entry
Data pipeline audit
Scale
Cleaning, augmentation, drift adaption, production-wide

Custom ML training

Not every problem needs an expensive US LLM. A small in-house model is faster, cheaper, and leaks nothing.

“Why are your API costs €300 per employee?”

Entry
Use-case scoping → POC classifier
Scale
Deployed fully in-house

RAG pipelines

Naive RAG hallucinates, leaks, and ships your knowledge to OpenAI.

“Why isn't your chatbot spotting your own compliance guidelines?”

Entry
RAG pilot on one knowledge base
Scale
Integrated into your agents & infra

If this resonates

Start with one small step.

Write to usoffice@dacora.eu→