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OSINT (Open Source Intelligence)

Catégorie
Satisfaction rate
3.6
Success rate
4.8

The target audience for training

  • CISO,
  • SOC Manager,
  • SOC analysts,
  • Cybersecurity consultants or anyone in charge of the security of a company's information system.

What you will learn

At the end of the course, the trainee will be able to collect open source information using the OSINT (Open Source Intelligence) method.

Training programme

Day 1 - The Morning

  • Objectives and organisation of the course.
  • Presentation of OSINT: definitions, principles, challenges and limitations.
  • Intelligence cycle applied to OSINT: planning, collection, processing, dissemination.
  • Legal and ethical framework: regulations, RGPD, OPSEC (operational security).
  • An overview of open sources: web, media, social networks, public registers, specialist databases.
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

 

Day 1 - The Afternoon

  • OSINT research methodologies: structuring an investigation.
  • Advanced search engines (Google Dorks, filters, logical operators).
  • Introduction to automated data collection: presentation of scripts, crawlers and open source tools.
  • Putting it into practice: first guided exercises in gathering information from open sources.
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

Day 2 - The Morning

  • Exploring social networks (Twitter/X, Facebook, LinkedIn, TikTok, Instagram).
  • Extraction and analysis of metadata (images, documents, files).
  • Public databases and registries (Whois, DNS, data leakage databases).
  • Monitoring the dark web and deep web: opportunities and precautions.
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

 

Day 2 - The Afternoon

  • Presentation and advanced use of OSINT tools: Maltego, SpiderFoot, theHarvester, Shodan.
  • Multiple data collection and correlation.
  • Introduction to the use of artificial intelligence to filter and analyse OSINT data.
  • Practical case study: guided investigation of a real-life scenario (fraud, phishing, cybercrime).
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

Day 3 - Morning

  • Structuring an OSINT service within an organisation.
  • Integration of OSINT into a cybersecurity process (SOC, CERT, Threat Intelligence).
  • Reporting and analysis methods: from raw data to usable information.
  • Practical exercises: setting up a targeted watch on a defined perimeter.
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

 

Day 3 - Afternoon

  • Case study: end-to-end OSINT investigation (collection, analysis, correlation, reporting).
  • Practical group workshop: identifying threats or players from open data.
  • Best practice in disseminating information and communicating to decision-makers.
  • Closing and final assessment.
  • Attendance certificates are handed out and participants evaluate the course.
    • Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.

Trainer profile

Expert OSINT consultant-trainer, specialising in the collection, analysis and exploitation of data from open sources, with significant experience in cybersecurity and digital intelligence.

Teaching methods and resources:

The course is based on a balanced combination of theoretical and practical approaches, guaranteeing both the acquisition of knowledge and its operational application:

  • Structured theoretical input, illustrated by practical examples tailored to the participants' professional context.
  • Practical exercises and workshops at every stage to help you acquire the knowledge you need.
  • A case study linking the different skill blocks.
  • Strong interaction between trainers and trainees, making exchanges more concrete and in correlation with trainees' expectations.
  • Full educational documentation, supplied in digital format.
  • Course evaluation questionnaire at the end of the course, analysed by our teaching team.
  • Certificate of acquired skills sent to the trainee at the end of the course.
  • End-of-training certificate sent at the same time as the invoice to the company or funding organisation, confirming that the trainee has fully attended the session.

Training objectives

  • Understanding the principles and challenges of OSINT
  • Master the tools and techniques for gathering information
  • Collect, sort and analyse the data collected
  • Use artificial intelligence (AI) tools to automate, filter and analyse data from open sources
  • Integrating OSINT into an operational framework.

Assessment method

  • Practical exercises and workshops at every stage of the course.
  • A case study linking the different skill blocks.
  • Quiz at the end of each day's training.
  • Self-assessment of knowledge acquired by the trainee via a questionnaire.

Training prerequisites

Basic computer skills, data analysis and writing skills.

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Important information:

Our courses are not registered with the Répertoire National des Certifications Professionnelles (RNCP), but they do comply with the requirements of the Répertoire Spécifique (RS).

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Demande d’information

Je souhaite obtenir plus d'informations sur vos formations.
ACG CyberAcademy collecte et utilise les données fournies via ce formulaire afin de traiter vos demandes d'inscription. Les champs marqués d’un * sont indispensables. Les autres informations nous permettent d’optimiser le suivi de votre demande ainsi que la qualité de notre relation client.
* Pour en savoir plus et exercer vos droits, consultez notre Politique Vie privée.