Cybersecurity serviceARTIFICIAL INTELLIGENCE

AI Security Consulting

We integrate real artificial intelligence into your security processes. This isn't about adding a chatbot: we design, implement, and operate ML systems that automate threat detection and behavior analysis, and orchestrate (SOAR) the incident response with the final decision reviewed by a human analyst.

NIST AI RMFEU AI ActMITRE ATLASISO 42001
Typical duration
4 weeks
Deliverables
6+
Methodologies
NIST AI RMF · EU AI Act · MITRE ATLAS
Next response SLA
< 24h
6DeliverablesInternal analysisInternal Hodeitek analysis: real count of the deliverables and phases defined for this service.
5Process phasesInternal analysisInternal Hodeitek analysis: real count of the deliverables and phases defined for this service.
0Zero production impactInternal analysisInternal Hodeitek analysis: an operating commitment for the service, not an audited metric.

Why do you need AI Security Consulting?

Your SOC processes thousands of daily alerts and alert fatigue causes real threats to go unnoticed

Attackers are using offensive AI while your defenses still rely on static rules

You want to implement AI in security but lack the in-house expertise

You need to comply with the European AI regulation (AI Act) without slowing down operations

What makes us different

Four pillars that apply to every service and every solution, not a one-off slogan.

Offensive + defensive + AI

The same team that attacks in the pentest runs the SOC and builds the AI models. Offensive insight informs defense, and AI is applied where we already operate, not bolted on as an extra layer.

Compliance in weeks, not months

HodeiShield, our own platform, automates continuous assessment, control mapping, and evidence generation — so manual work no longer sets the pace of regulatory compliance.

Sovereignty and proximity

Infrastructure on OVHcloud (France/EU). You speak with the people who sign off on the work, not an account manager who forwards your request to another department.

Our own product

HodeiShield isn't a third-party product we resell: we build and operate it ourselves, and that's what lets us offer faster compliance and evidence that's always current.

What's included

Deliverables and results you will receive with this service.

AI Maturity Assessment

We analyze your current security stack and determine where AI can deliver the greatest impact: detection, response, hunting, or compliance.

ML Model Design for Security

We develop anomaly detection models, user and entity behavior analytics (UEBA), and alert classification models tailored to your environment.

Stack Integration

We connect AI models with your SIEM, your SOAR (security orchestration via rules and playbooks), and your EDR. No need to replace anything.

SOAR Response Orchestration

Orchestration (SOAR, rules and workflows) playbooks run containment actions when the AI/ML model detects a threat with high confidence; the final decision is reviewed by a human analyst.

AI-Powered Threat Hunting

We train models that identify emerging attack patterns in your logs, network traffic, and endpoint telemetry.

AI Act Compliance

We help you comply with the European AI Regulation: risk assessment, documentation, algorithmic transparency, and data governance.

Methodology

Discovery, execution, delivery, and follow-up — the framework we follow on every project.

Discovery

Discovery

We analyze your security infrastructure, available data sources, and alert volume to determine where AI delivers the most impact.

Execution

Execution

We design and train the models with your real data, iterating until detection and false-positive rates are acceptable for your operations.

Delivery

Delivery

We deploy the system integrated with your SIEM/SOAR/EDR, with continuous model-performance monitoring from day one in production.

Follow-up

Follow-up

Periodic retraining, threshold tuning with your analysts' feedback, and model evolution as threats change.

How we work

Structured methodology to ensure measurable and repeatable results.

1

Discovery

Analysis of your security infrastructure, available data sources, alert volume, and existing processes.

2

Solution Design

AI system architecture: model selection, data pipeline, training and inference infrastructure.

3

Development and Training

Building models with your real data. We iterate until detection rates and false positives reach acceptable levels.

4

Integration and Deployment

Deployment in your environment with continuous model performance monitoring.

5

Operation and Continuous Improvement

Periodic retraining, threshold tuning, and model evolution based on emerging threats.

Operational example

A real scenario of how we work, not a marketing figure.

An anomaly-detection model flags an unusual out-of-hours database access pattern. The system correlates the alert with user context and assigns a confidence level; an analyst reviews the case already enriched instead of chasing raw logs across five separate consoles.

Is it for your company?

This service is designed for organizations that identify with these profiles.

SOCs suffering from high alert fatigue
Organizations looking to automate detection and response
Companies needing AI Act compliance
Teams seeking advanced threat hunting capabilities

Compared to a generalist integrator

No names — here's how we work differently, with verifiable facts.

CriteriaGeneralist integratorHodeitek
FocusDozens of business lines; cybersecurity is just one of them100% cybersecurity and AI
Point of contactAn account manager who forwards your request to another departmentDirect contact with the founders
Regulatory complianceOne-off reports per regulation, manual evidence managementHodeiShield automates evidence and cross-framework NIS2/ENS/DORA mapping
ProductResells third-party licensesBuilds and operates HodeiShield, its own platform

How does it compare to the alternatives?

An honest comparison, with no named competitors: how Hodeitek differs from native tooling, doing it with your own team, or a generic integrator — and when we are NOT the right fit.

DimensionHodeitekNative tool/SIEMIn-house (DIY)Generic integrator
Starting pointWe first assess where AI delivers real impact on your security stack (detection, response, hunting, or compliance) before building anything.A SIEM/EDR vendor's built-in AI modules are generic: they aren't trained on your data or your specific use cases.Requires hiring or training someone who masters both ML and cybersecurity — a scarce, hard-to-retain profile.Often bolts AI on as a marketing layer over a generic dev project, with no prior experience running a SOC.
Regulatory frameworkEvery system is assessed against NIST AI RMF and the EU AI Act from the design stage, not as an afterthought.The vendor rarely documents AI Act compliance for its own built-in AI modules.Your in-house team has to interpret the AI Act's requirements on its own, without prior experience with the regulation.AI regulatory compliance usually isn't their core specialty.
Integration with your stackIntegrates with your existing SIEM, SOAR, and EDR — nothing gets replaced.Only works within the vendor's own closed ecosystem.Integration depends on the time your in-house team can spare on top of its regular workload.Depends on whatever specific stack that vendor happens to know.
When it makes senseYou want to automate detection and response, or comply with the AI Act, without building an in-house ML team.The AI modules already bundled with your SIEM/EDR cover your use case without custom models.You already have an in-house data science team with cybersecurity experience and time to dedicate to it.You prioritize cost over specific experience running SOCs and navigating the AI regulatory framework.

When NOT to choose Hodeitek

  • The AI modules already included in your SIEM or EDR solve your use case without needing custom models.
  • Your alert volume is low enough that a human analyst already handles it without alert fatigue.
  • You already have an in-house data science team with cybersecurity and AI Act experience.

Regulatory compliance

How what this service already includes relates to NIS2, DORA, and the AI Act — article by article, with no invented coverage.

  • Framework
    AI Act
    Article
    Art. 15
    What it requires
    Ensure the accuracy, robustness and cybersecurity of high-risk AI systems throughout their lifecycle.
    How this service helps
    The AI Act Compliance deliverable runs the system's risk assessment, documents it, and covers algorithmic transparency and data governance — it provides the evidence Article 15 requires, not a substitute for it.

Informational mapping, not legal advice: it describes how what we already do in this service helps comply with or provides evidence for each article — it doesn't replace a compliance assessment tailored to your organization.

Frequently asked questions

What's your response SLA?
First response within 24 business hours of reaching out. If what you need is an exposure assessment, we deliver it in full within 48 business hours.
Do we need an in-house data scientist?
No. We design, train, and operate the models. Your team only needs to understand the outputs.
How long until it delivers results?
The first production models are typically ready within 8-12 weeks. Improvement is ongoing.
Does it work with our current SIEM?
Yes. We integrate with Splunk, QRadar, Sentinel, Elastic, and most market-leading SIEMs.
What about false positives?
We iterate the model until false positive rates are acceptable for your operations. Your analysts' feedback continuously improves the model.
How is AI consulting priced?
We don't publish a fixed rate: pricing depends on scope (number of use cases, data volume, required integrations). After the initial discovery, you receive a proposal with defined scope and price.
How are you different from a generalist integrator?
A generalist integrator bolts AI on as another layer over generic projects; at Hodeitek the same team that operates a SOC and builds HodeiShield designs and runs the ML models, assessing every system against NIST AI RMF and the EU AI Act. You deal directly with the founders.
Is AI cybersecurity different by sector?
The technical risk (prompt injection, data poisoning, information leakage) is cross-cutting, but the regulatory framework changes: in industry, AI over OT systems adds physical safety concerns; in financial services, it falls within DORA and the AI Act's high-risk perimeter; the public sector adds ENS traceability requirements; for SMEs, the starting point is usually auditing which third-party models the team is already using without oversight.

Integrate real AI into your security strategy

Talk to our team of experts to design a plan tailored to your organization's needs.

Schedule AI consulting

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