AI-Driven Security Automation
Cut repetitive SOC work with automation and AI: alert triage, context enrichment, and orchestrated response that lower MTTR (mean time to respond) without removing human control.
- Intake142
- AI clusters and prioritizes alerts by severity and pattern.
- Asset, user, and threat context added automatically.
- Playbooks run the safe actions; sensitive cases escalate to the analyst.
Illustrative figures for a mid-size SOC; your volume will vary.
MTTR
4.5h38 min
Hours/mo recovered
0h
Illustrative estimates; vary with volume and SOC maturity.
The AI proposes; the analyst decides at sensitive steps.
The challenge
Security teams receive more alerts than they can investigate. Much of the SOC's time goes to repetitive tasks — enriching an alert, gathering context across five consoles, dismissing false positives — while the signals that really matter wait in the queue. That manual work (toil) burns out analysts and stretches response time.
Traditional automation helps, but rigid playbooks break on cases that don't fit their rules exactly. AI adds the missing piece: interpreting alerts in natural language, correlating disparate signals, and proposing the next action, leaving the final decision to the analyst.
The goal is not to replace the team but to give it time back. A SOC that automates triage and enrichment frees its analysts for what genuinely needs human judgment — investigation, threat hunting, and containment decisions — and responds faster and more consistently.
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.
Our approach
We start by measuring where time goes: we analyze alert volume, repetitive tasks, and current response times to identify the use cases with the highest return. We don't automate for its own sake; we prioritize the heaviest toil.
We design automation flows on a simplified architecture: an orchestrator (n8n) managing the workflows, vectorization and context enrichment (vector database), and language models (LLM) that interpret alerts and propose actions. Models are deployed as Ollama on sovereign European infrastructure — we don't send data to third parties outside the EU. Every AI action is logged and explainable, with human control points at sensitive steps.
We integrate the automation with your existing stack — SIEM, EDR, ticketing, and alerting channels — and roll it out incrementally, measuring the reduction in MTTR and manual work at each iteration. The result is a SOC that scales without growing at the same rate, with guardrails that keep the human in charge and sovereignty over your data.
How we deliver
Structured methodology for measurable outcomes.
Toil Diagnosis
We analyze alert volume, repetitive tasks, and response times to identify the highest-return use cases before automating anything.
AI & Orchestration Flows
We design assisted triage, automatic enrichment, and SOAR playbooks that run the safe actions and escalate judgment calls, with every action logged and explainable.
Integration & Continuous Improvement
We integrate with your SIEM, EDR, and ticketing, roll out incrementally, and measure the reduction in MTTR and manual work at each iteration.
Benefits
Tangible outcomes for your organization.
Methodology: how we implement it
Discovery, execution, delivery and follow-up — a clear path to continuous operation.
Diagnosis
Measurement of toil, alert volume, and response times.
Baseline flows
Assisted triage, enrichment, and first SOAR playbooks.
Integration
Connection to SIEM, EDR, and ticketing; human guardrails.
Continuous improvement
MTTR measurement and iterative expansion of use cases.
Operational example
A real scenario of how we work, not a marketing figure.
A login alert from an unusual location comes in. The assisted-triage flow enriches the alert with the user's history, the IP's reputation, and related alerts from the last hour, and suggests the most likely containment action to the analyst (kill the session, force MFA). The analyst reviews the context already gathered and decides in seconds instead of opening five separate consoles.
Compared to a generalist integrator
No names — here's how we work differently, with verifiable facts.
| Criteria | Generalist integrator | Hodeitek |
|---|---|---|
| Focus | Dozens of business lines; cybersecurity is just one of them | 100% cybersecurity and AI |
| Point of contact | An account manager who forwards your request to another department | Direct contact with the founders |
| Regulatory compliance | One-off reports per regulation, manual evidence management | HodeiShield automates evidence and cross-framework NIS2/ENS/DORA mapping |
| Product | Resells third-party licenses | Builds and operates HodeiShield, its own platform |
Frequently asked questions
What's your response SLA?
What is AI-driven security automation?
What is toil in a SOC?
Does AI replace security analysts?
What is MTTR and how does automation reduce it?
Does it integrate with my current tools?
How is AI-driven automation priced?
How are you different from a generalist integrator?
Does AI automation in the SOC change by sector?
Give your security team its time back
Talk to our team to evaluate how this solution can protect your organization.
Response within 24h
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