AI Security Automation — SOC and Threat Detection with AI

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 will you learn in the AI Security Automation — SOC and Threat Detection with AI training?

You will gain comprehensive knowledge and practical skills covering all key aspects of the topic. 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?

Security professionals responsible for security operations

Security engineers and architects

SOC analysts expanding their competencies

IT managers and team leaders

Consultants and auditors

Prerequisites

Foundational cybersecurity knowledge
Experience in IT security or administration
Familiarity with security operations concepts is helpful

Training program

Unsupervised learning in anomaly detection — clustering, autoencoders
Building baselines of user and system behavior (UEBA)
Detecting anomalies in network traffic using ML
Detecting insider threats through behavioral analysis
Reducing false positives — model tuning and feedback loops
Integrating ML anomaly detection with an existing SIEM

Natural language processing in security log analysis
Automated alert categorization and prioritization with NLP
Extracting IoCs from threat intelligence reports using LLMs
Correlating events from multiple sources with language models
Automatically generating incident summaries
SOC chatbots — supporting analysts with an AI assistant

AI-driven triage — automated alert severity assessment
Automated alert enrichment from multiple sources
Generating response recommendations with LLMs
Automating containment actions — isolation, blocking, quarantine
Orchestration with AI — integration with SOAR platforms
Automation metrics — MTTD, MTTR, reducing analyst workload

Automated collection and processing of threat intelligence feeds
ML in threat classification and prioritization
Threat prediction using historical trends
Automated mapping of IoCs to MITRE ATT&CK
NLP in analyzing the dark web and hacker forums
Building an automated CTI pipeline

Architecture of a modern SOC with AI/ML components
Integrating AI with the existing security stack (SIEM, SOAR, EDR)
Data engineering for AI in the SOC — data quality, pipelines, feature store
MLOps in the SOC — deploying, monitoring and updating models
Change management — preparing the team for AI-augmented operations
ROI of SOC automation — metrics and business case

Configuring ML anomaly detection in ELK/OpenSearch
Using the GPT/Claude API to automate log analysis
Building a simple anomaly detection model in Python
Integrating AI enrichment with a SOAR workflow
Testing model effectiveness on real SOC data
Planning an AI roadmap for your own 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

Training Topics

Frequently asked questions

Is this training suitable for my experience level?

This training is at an advanced level. 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 over 2,500 trainings in its catalog. Our cybersecurity trainings are led by practitioners with experience in real-world projects.