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Course code: 000683
Operational Risk Management Center
Discipline: Corporate security
HSSE000 - Corporate Intelligence Management
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Currently, this course is conducted only in an intracorporate format.
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What this course about?

Corporate Intelligence Management has emerged as a critical function for organizations striving to stay ahead in today’s competitive landscape. This training programme equips participants with the knowledge, techniques, and tools necessary to gather and analyze intelligence effectively, fostering risk-aware and data-driven decision-making across the enterprise.

From laying foundational concepts of corporate intelligence to examining the legal and ethical considerations that guide its responsible use, the course’s carefully curated modules help participants understand the strategic importance of intelligence. Practical sessions on OSINT (Open Source Intelligence) and HUMINT (Human Intelligence) not only demonstrate real-world tactics but also illustrate how diverse information sources can be harmonized for optimal insight. Hands-on training with data management and analytical software provides a glimpse into modern intelligence technology, while dedicated discussions on security integration and risk management illustrate how intelligence fits within broader protective strategies.

Throughout the workshop, participants explore case studies, engage in interactive activities, and learn to craft concise yet comprehensive reports for senior stakeholders. By the programme’s conclusion, attendees will have honed their capacity to discern reliable intelligence from noise, ensuring that they can guide organizational decisions grounded in robust, actionable information. This elevated intelligence function ultimately promotes a proactive security culture, mitigates emerging threats, and underscores the centrality of informed leadership in shaping sustainable organizational success.

Who is this course for?
Corporate Security Professionals: Security managers, security analysts, and anyone responsible for safeguarding corporate assets.

Risk Management & Compliance Teams: Professionals tasked with identifying, evaluating, and mitigating risks, as well as ensuring legal and regulatory compliance.

Business Intelligence & Strategy Analysts: Individuals engaged in data-driven decision-making, competitor analysis, and market research.

Executive & Senior Management: Leaders who steer strategic planning and need to align intelligence insights with broader organizational goals.

Project Managers & Team Leads: Key influencers who require intelligence insights for operational and strategic project decisions.

Aspiring Intelligence Specialists: New professionals or those transitioning into roles involving intelligence gathering, analysis, or security functions.
Pre-course requirements
  • Fundamental Business Knowledge: A basic understanding of organizational structures, functions, and general business operations
  • Basic Risk Management Concepts: Familiarity with risk management frameworks (e.g., understanding potential threats, vulnerabilities, and mitigation techniques)
  • Digital Literacy: Proficiency in standard office software (Microsoft Office, email, basic data analysis tools) and comfort with online research
  • Awareness of Corporate Compliance & Ethics: Basic knowledge of data protection laws, confidentiality norms, and corporate governance principles is beneficial
  • Analytical Mindset (Recommended): Capacity to interpret data, identify patterns, and draw logical conclusions—previous experience in analysis is a plus
What will you learn?
  • Define and Differentiate Corporate Intelligence - Understand the foundational concepts, scope, and purpose of corporate and commercial intelligence in a modern business context
  • Align Intelligence with Strategic Goals - Integrate intelligence insights into broader organizational strategies to support informed, data-driven decision making
  • Effectively Collect and Analyze Information - Conduct both OSINT (Open Source Intelligence) and HUMINT (Human Intelligence) activities, applying structured analytical techniques to evaluate data credibility and relevance
  • Implement Risk-Aware Security Measures - Identify potential threats, assess vulnerabilities, and design targeted security initiatives informed by intelligence findings
  • Leverage Technological Tools & Databases - Utilize specialized software, data mining, and automation solutions to enhance the efficiency and accuracy of intelligence operations
  • Compose Clear, Actionable Intelligence Reports - Organize and present findings in a manner that is accessible to diverse stakeholders, ensuring actionable recommendations and strategic clarity
  • Navigate Legal & Ethical Frameworks - Recognize and comply with relevant legislation, data privacy standards, and ethical considerations while carrying out intelligence activities
  • Foster a Culture of Intelligence & Communication - Establish effective channels for sharing, disseminating, and continuously refining intelligence products within the organization
Courses in this discipline (7)
Course outline
  • Defining Commercial Intelligence: Scope, purpose, and importance in modern enterprises
  • Historical Evolution & Trends: From traditional business intelligence to integrated corporate intelligence
  • Strategic Value: How intelligence shapes enterprise vision, competitiveness, and risk mitigation
  • Key Terminologies & Concepts: Differentiating terms such as “commercial intelligence,” “competitor intelligence,” and “corporate espionage”
  • Aligning Intelligence with Strategic Goals: Mapping organizational objectives to intelligence needs
  • Decision-Making Frameworks: Using intelligence to inform executive decisions (e.g., SWOT, PESTEL)
  • Stakeholder Analysis: Identifying who needs intelligence and why, from senior leaders to operational teams
  • Feedback Loops: Incorporating lessons learned and continuous improvement in strategic planning
  • SINT (Open-Source Intelligence): Sources of public information (social media, news outlets, databases)
  • OSINT (Open-Source Intelligence): Data harvesting tools and methods
  • OSINT (Open-Source Intelligence): Verification and validation of open-source data
  • HUMINT (Human Intelligence): Techniques for networking, interviews, and interpersonal data collection
  • HUMINT (Human Intelligence): Confidential informants and insider threat considerations
  • HUMINT (Human Intelligence): Ethical and legal frameworks governing human-source collection
  • Information Gathering Approaches: Identifying, prioritizing, and systematically collecting data
  • Analytical Frameworks: Structured analytic techniques (link analysis, pattern discovery, red-teaming)
  • Grading Intelligence: Assessing reliability and credibility (e.g., 4x4 or 5x5 grading matrix)
  • Data Quality & Integrity: Ensuring accuracy, completeness, and relevance
  • Databases & Software Solutions: Selecting the right database management system for intelligence needs
  • Databases & Software Solutions: Advanced data mining and analytics platforms (e.g., machine learning and AI-based tools)
  • Databases & Software Solutions: Integrating intelligence data with corporate IT infrastructure
  • Automation & AI: Automated intelligence gathering (web crawlers, data scrapers)
  • Automation & AI: Predictive modeling and scenario planning
  • Practical Demonstrations: Walkthroughs of typical commercial intelligence software
  • Intelligence & Risk Mitigation: Identifying vulnerabilities, threats, and potential impacts
  • Targeted Security Initiatives: Designing security measures informed by intelligence findings
  • Security & Intelligence Synergy: How intelligence teams partner with corporate security to protect assets
  • Real-World Case Studies: Examples where intelligence directly influenced proactive security decisions
  • Intelligence Cycle Phases: Planning & Direction, Collection, Processing, Analysis, Dissemination, and Feedback
  • Report Writing Best Practices: Clarity, structure, and actionable recommendations
  • Communicating Intelligence: Tailoring delivery formats (briefings, dashboards, written reports) to different audiences
  • Feedback & Continuous Improvement: Leveraging post-report evaluations and metrics
  • Legal Frameworks: Data protection laws, privacy regulations, and relevant international statutes
  • Compliance Best Practices: Ensuring lawful collection, storage, and use of intelligence data
  • Ethical Standards: Balancing corporate needs with respect for human rights and confidentiality
  • Corporate Governance: Oversight mechanisms and policy development for responsible intelligence operations
Eni
Total
Eni
Endesa
Shell
Chevron
Gas Natural
Iberdrola
Eni
Inpex
Eni
Exonmobile

Training can take place in 4 formats:

  • Self-paced
  • Blended learning
  • Instructor-led online (webinar)
  • Instructor-led offline (classroom)

Description of training formats:

  • Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
  • Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
  • Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.

When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.

Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.

The optimal group size for different types of training:

  • Self-paced / E-learning: 1
  • Instructor-led off-line (classroom): 6 – 12
  • Instructor-led on-line (webinar): 6 – 12
  • Blended learning: 6 – 12
  • Workshop: 6 – 12
  • On-the-job: 2 – 4
  • Simulator: 1 – 2

Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.

In order to control the quality of the services provided, students can evaluate the quality and training programme. Forms of assessment of the quality of training differ for courses with the participation of an instructor and those that are held in a self-paced format.

For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.

A personal account is a space for storing your training preferences, test and exam results, grades on completed training, as well as your individual plan for professional and personal development.

Users of the personal account have access to articles and blogs in specialized areas, as well as the ability to rate the completed training and leave comments under the articles and blogs of our instructors and technical authors

Registered users of a personal account can have various roles, including the role of a student, instructor or content developer. However, for all roles, except for the student role, you will need to go through an additional verification procedure to confirm your qualifications.

Based on the results of training, students are issued a certificate of training. All training certificates fall into three main categories:

  • Certificate of Attendance - students who successfully completed the course but did not pass the tests and exams can apply for a certificate of attendance.
  • Certificate of Completion - students who have successfully completed a course could apply for a Certificate of Completion, this type of certificate is often required for compliance training.
  • Verified Certificate - it is a verified certificate that is issued when students have passed exams under the supervision of a dedicated proctor.

You can always download a copy of your training certificate in PDF format in your personal account.

You will still have access to the course after completing it, provided that your account is active and not compromised and Tecedu is still licensed for the course. So if you want to review specific content in the course after completing it, or do it all over again, you can easily do so. In rare cases, instructors may remove their courses from the Tecedu marketplace, or we may need to remove a course from the platform for legal reasons.

During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:

  • preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
  • intermediate - to check the progress of learning
  • final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam

Travel to the place of full-time training is not included in the cost of training. Accommodation during full-time studies can be included in the full board tuition fees.

While Tecedu is not an accredited institution, we offer skills-based courses taught by real experts in their field, and every approved, paid course features a certificate of completion or attendance to document your accomplishment.

You can preview samples of the training materials and review key information about the course on our website. You can also review feedback and recommendations from students who already completed this course.

We want you to be happy, so almost all purchased courses can be returned within 30 days. If you are not satisfied with the course, you can request a refund, provided the request complies with our return policy.

The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.

We reserve the right, in our sole discretion, to limit or deny refund requests in cases where we believe there is refund abuse, including but not limited to the following:

  • A significant portion of the course has been consumed or downloaded by a student before the refund was requested.
  • Multiple refunds have been requested by a student for the same course.
  • Excessive refunds have been requested by a student.
  • Users whose account is blocked or access to courses is disabled due to violation of our Terms and Conditions or the Rules of Trust and Security.
  • We do not grant refunds for any subscription services.
  • These refund restrictions will be enforced to the extent permitted by applicable law.

We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.

Smart Virtual Classroom (open digital / virtual classroom).

Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.

Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.

Game Based Learning (learning using a virtual game environment)

Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.

The technology provides the following learning opportunities:

  • Focused on the needs of the user
  • Instant feedback
  • Independent decision making and choice of actions
  • Better assimilation and memorization of the material
  • Adaptive pace of learning tailored to the individual needs of the student
  • Better transfer of skills learned in a learning situation to real conditions

Basic principles of training:

  • A gradual increase in the level of difficulty in the game;
  • Using a simplified version of a problem situation;
  • Action in a variable gaming environment;
  • The right choice is made through experimentation.

The main advantages of Game Based Learning technology:

  • Low degree of physical risk and liability
  • Motivation to learn while receiving positive emotions from the process;
  • Practice - mirroring the real situation
  • Timely feedback
  • Choice of different playing roles
  • Learning in collaboration
  • Developing your own behavior strategy
Laboratory workshops using remote access technologies

Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:

  • Laboratory workshops that simulate the operation of expensive bench equipment in real production
  • Virtual experiment, which is visually indistinguishable from a remote real experiment performed
  • Virtual instruments, which are an exact copy of real instruments
  • Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.
HSSE000 - Corporate Intelligence Management
Discipline: Corporate security
Language: English, Russian
Level: Intermediate
mail@tecedu.org
+7 747 898 5041
+7 7182 901 933