AI Security Automation — SOC and Threat Detection with AI
Training on security operations automation using AI. Covers ML-based anomaly detection, automated incident response, NLP for log analysis, AI-driven threat intelligence, reducing false positives with ML, and building AI-powered SOC workflows.
Why choose this training?
Training on security operations automation using AI. Covers ML-based anomaly detection, automated incident response, NLP for log analysis, AI-driven threat intelligence, reducing false positives with ML, and building AI-powered SOC workflows. This training combines theoretical knowledge with intensive hands-on exercises, enabling participants to immediately apply their skills in their daily work. The program is designed and delivered by practitioners with real-world experience in the covered domains.
What you will learn
You will gain comprehensive knowledge and practical skills covering all key aspects of ai security automation — soc and threat detection with ai. The program is structured to build competencies progressively, from foundational concepts through advanced techniques to real-world implementation scenarios.
Through hands-on exercises and realistic case studies, you will develop the ability to apply learned concepts in your organization’s context. You will understand both the technical and organizational aspects, enabling you to make informed decisions and implement effective solutions.
After completing the training, you will have actionable knowledge that translates directly into improved security posture and operational capabilities for your team and organization.
Benefits
- Understand key concepts of ai security automation
- Apply practical skills in security operations
- Design and implement solutions based on best practices
- Evaluate risks and threats in the covered domain
- Develop action plans for their organization
- Integrate new capabilities with existing security processes
Who is this training for?
Prerequisites
- Foundational cybersecurity knowledge
- Experience in IT security or administration
- Familiarity with security operations concepts is helpful
Training program
ML-based anomaly detection — wykrywanie odstępstw od normy
- Unsupervised learning w detekcji anomalii — clustering, autoenkodery
- Budowanie baseline zachowań użytkowników i systemów (UEBA)
- Detekcja anomalii w ruchu sieciowym z wykorzystaniem ML
- Wykrywanie insider threats z analizy behawioralnej
- Redukcja false positives — tuning modeli i feedback loop
- Integracja ML anomaly detection z istniejącym SIEM
NLP do analizy logów i threat intelligence
- Przetwarzanie języka naturalnego w analizie logów bezpieczeństwa
- Automatyczna kategoryzacja i priorytetyzacja alertów z NLP
- Ekstrakcja IoC z raportów threat intelligence z wykorzystaniem LLM
- Korelacja zdarzeń z wielu źródeł z pomocą modeli językowych
- Automatyczne generowanie podsumowań incydentów
- Chatboty SOC — wsparcie analityków z AI assistant
Automatyzacja incident response z AI
- AI-driven triage — automatyczna ocena severity alertów
- Automatyczne wzbogacanie alertów (enrichment) z wielu źródeł
- Generowanie rekomendacji response z LLM
- Automatyzacja containment actions — izolacja, blokowanie, kwarantanna
- Orchestration z AI — integracja z SOAR platformami
- Metryki automatyzacji — MTTD, MTTR, redukcja obciążenia analityków
AI-driven threat intelligence — automatyzacja CTI
- Automatyczne zbieranie i przetwarzanie feedów threat intelligence
- ML w klasyfikacji i priorytetyzacji zagrożeń
- Predykcja zagrożeń z wykorzystaniem trendów historycznych
- Automatyczne mapowanie IoC do MITRE ATT&CK
- NLP w analizie dark web i forów hakerskich
- Budowanie zautomatyzowanego pipeline CTI
Budowanie AI-powered SOC — architektura i workflow
- Architektura nowoczesnego SOC z komponentami AI/ML
- Integracja AI z istniejącym stackiem bezpieczeństwa (SIEM, SOAR, EDR)
- Data engineering dla AI w SOC — jakość danych, pipeline, feature store
- MLOps w SOC — wdrażanie, monitorowanie i aktualizacja modeli
- Zarządzanie zmianą — przygotowanie zespołu na AI-augmented operations
- ROI automatyzacji SOC — metryki i business case
Praktyczne wdrożenie — warsztaty z narzędziami AI dla SOC
- Konfiguracja ML anomaly detection w ELK/OpenSearch
- Wykorzystanie GPT/Claude API do automatyzacji analizy logów
- Budowanie prostego modelu detekcji anomalii w Pythonie
- Integracja AI enrichment z workflow SOAR
- Testowanie skuteczności modeli na realnych danych SOC
- Planowanie roadmapy AI dla własnego SOC
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Is this training suitable for my experience level?
This training is at advanced. We assume foundational security knowledge and practical experience. The detailed prerequisites are listed above.
What practical exercises are included?
The training includes hands-on exercises in a prepared lab environment with realistic scenarios. Participants work with industry-standard tools and real-world data.
Will I receive a certificate?
Yes — all participants receive a certificate of completion from EITT along with comprehensive training materials.
Why choose EITT?
EITT has 500+ IT experts, 2500+ delivered trainings, and a 4.8/5 rating. Our cybersecurity trainings are led by practitioners with real-world experience.
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Funding Options
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Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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