Cybersecurity Events in Geneva

Finding the balance in AI-usage within our companies

AGENDA:

• 16:30-17:00 Welcoming coffee and registration
• 17:00-18:00 Presentations
• 18:00-19:30 Networking Reception

Swiss CyberSecurity built a partnership with ISC2 and ISACA thus our participants can earn CPE credits attending the conferences.
www.swiss-cybersecurity.ch

Almost every cybersecurity job description requires a specific certification. An authorized CISSP training is often considered a leading choice for IT professionals interested in information security. A CISSP certification should be your next step!

At Swiss CyberSecurity the continuous learning is key!
Thank you for PSYND being one of our Platinum Sponsors.

PSYND’s CISSP certification preparation course will review eight of the most relevant information security domains, all of which deliver a wealth of current information on the Common Body of Knowledge (CBK) for the CISSP exam:
•Security and Risk Management
•Asset Security
•Security Architecture and Engineering
•Communication and Network Security
•Identity and Access Management
•Security Assessment and Testing
•Security Operations
•Software Development Security

The official ISC2 courseware guarantees the most current version developed by ISC. Additionally, you also receive study tools.

For pricing, examinations, and any other questions please contact us on www.psynd.ch/cissp or +41 22 303 0220. Please note, this is a classroom-format course but also available online.

Master wireless network design and security with practical training in network planning, protection, and troubleshooting.

The Wireless Network Design and Security Training Course delivered by Geneva Institute of Business Management provides a corporate-focused framework for designing, deploying, securing, monitoring, and optimising enterprise wireless networks.

Within the Information & Communication Technology category, the programme addresses essential wireless infrastructure requirements, including radio frequency planning, access point placement, channel allocation, capacity management, interference reduction, roaming, and network performance optimisation.

The course explores modern wireless technologies, including Wi-Fi 6, and examines how organisations can improve connectivity, support high-density environments, and maintain reliable network performance. Participants also develop an understanding of enterprise wireless security measures, including WPA3 encryption, authentication, access control, network segmentation, endpoint protection, rogue access point detection, and security monitoring.

A key focus is identifying wireless vulnerabilities, managing unauthorised access, strengthening security configurations, and implementing effective risk assessment and incident response practices. The programme also considers the integration of wireless networks with enterprise routing, switching, identity management, and broader cybersecurity controls.

Designed for network professionals, IT infrastructure managers, cybersecurity specialists, and technology decision-makers, the Wireless Network Design and Security Training Course supports organisations in strengthening wireless reliability, security governance, operational resilience, and long-term infrastructure performance.

Objectives Establish Enterprise Wireless Design Capability

The course develops a structured approach to Wireless Network Design and Security for corporate environments. Participants examine business requirements, user density, application requirements, coverage expectations, mobility requirements, device types, building characteristics, security requirements, and future scalability when establishing wireless architecture.

The objective is to support informed infrastructure decisions that align wireless network capabilities with organisational requirements. Participants learn to distinguish between basic connectivity requirements and enterprise-grade wireless design requirements where reliability, security, capacity, and service continuity are critical.

Develop Radio Frequency Planning Expertise

Radio frequency planning is central to reliable wireless performance. The course examines frequency selection, channel planning, channel reuse, transmit power, coverage boundaries, interference, signal strength, noise levels, client density, and physical environment considerations.

Participants gain an operational understanding of how radio frequency conditions affect network reliability and user experience. The objective is to establish consistent wireless coverage while reducing co-channel interference, adjacent-channel interference, dead zones, excessive overlap, and capacity limitations.

Support Wi-Fi 6 Deployment

The course provides a structured understanding of Wi-Fi 6 deployment within enterprise environments. Participants examine the operational implications of higher device density, improved spectrum efficiency, traffic management, and modern wireless client requirements.

The objective is to help organisations approach Wi-Fi 6 deployment as a planned infrastructure initiative rather than simply an access point replacement exercise. Considerations include compatibility, capacity, coverage, client readiness, infrastructure dependencies, security, monitoring, and performance validation.

Strengthen Enterprise Wireless Security

Enterprise wireless security requires coordinated controls across authentication, encryption, identity, network segmentation, endpoint access, monitoring, and incident response. The course establishes a security-oriented approach to wireless infrastructure management.

Participants examine security weaknesses associated with poorly configured wireless networks and identify controls that reduce unauthorised access and operational exposure. The objective is to support consistent wireless security policies across enterprise environments.

Apply WPA3 Encryption Strategies

The programme examines WPA3 encryption and its role in modern wireless security. Participants explore stronger authentication principles, secure access configuration, client compatibility, deployment considerations, and the relationship between encryption and broader network security controls.

The objective is to support appropriate adoption of modern wireless security standards while considering existing infrastructure and organisational requirements.

Improve Wireless Performance Management

The course develops an operational approach to monitoring wireless performance. Participants examine network utilisation, client behaviour, signal quality, interference, roaming, access point performance, capacity, and connectivity issues.

The objective is to establish processes for identifying performance degradation and addressing root causes before they affect business operations.

Strengthen Wireless Risk Management

Participants examine common wireless security risks and operational weaknesses. These include rogue access points, unauthorised clients, weak authentication, configuration errors, insecure guest access, excessive privileges, unmanaged devices, and inadequate monitoring.

The objective is to integrate wireless infrastructure into wider organisational risk management and cybersecurity governance.

Target Audience Network and Infrastructure Professionals

The programme is suitable for network administrators, network engineers, infrastructure specialists, wireless professionals, and technical staff responsible for enterprise connectivity. It supports professionals involved in wireless architecture, deployment, configuration, troubleshooting, monitoring, and network optimisation.

Cybersecurity Professionals

Security analysts, security engineers, cybersecurity specialists, and information security professionals can benefit from the course through its focus on enterprise wireless security, authentication, encryption, segmentation, monitoring, wireless threats, and security controls.

IT Managers and Technology Leaders

IT managers, infrastructure managers, technology leads, and technical decision-makers can use the programme to strengthen their understanding of wireless infrastructure requirements. The course supports better planning of wireless investments, security initiatives, modernisation projects, and network expansion.

Network Operations Teams

Network operations professionals responsible for maintaining availability and performance can apply the programme's principles to wireless monitoring, troubleshooting, capacity management, interference analysis, and service optimisation.

Enterprise Technology Teams

The course is relevant to technology teams managing wireless connectivity across corporate offices, campuses, warehouses, manufacturing environments, healthcare facilities, hospitality operations, and other high-density locations.

Professionals Managing Wi-Fi Modernisation

Organisations preparing for Wi-Fi 6 deployment can use the programme to structure design, implementation, security, performance, and operational planning. The course supports professionals responsible for replacing legacy wireless environments with modern enterprise infrastructure.

Modules Module 1: Foundations of Enterprise Wireless Network Design

This module establishes the principles of enterprise Wireless Network Design and Security. It examines wireless architecture, business requirements, connectivity models, network scalability, mobility requirements, availability, resilience, and integration with existing enterprise infrastructure.

Participants examine how wireless networks interact with switching, routing, authentication, directory services, security platforms, monitoring systems, and cloud-based management environments. The module also considers the importance of documenting design requirements before infrastructure deployment.

Module 2: Wireless Requirements and Site Assessment

This module focuses on identifying the operational requirements of wireless environments. Topics include user density, application traffic, device populations, coverage requirements, mobility patterns, building structures, physical obstacles, network capacity, and service availability.

Site assessment principles are examined to support accurate design decisions. Participants consider how environmental characteristics and business usage patterns influence access point positioning, coverage, capacity, and network performance.

Module 3: Radio Frequency Planning and Spectrum Management

This module provides detailed coverage of radio frequency planning. It examines frequency bands, channel allocation, channel reuse, transmit power, signal propagation, interference, noise, coverage boundaries, and spectrum utilisation.

Participants explore strategies for managing dense wireless environments and reducing interference. The module also considers how physical environments, access point density, client distribution, and application requirements influence wireless performance.

Module 4: Access Point Architecture and Wireless Coverage

This module examines access point deployment strategies and wireless coverage design. Participants explore access point positioning, coverage requirements, capacity planning, antenna considerations, transmit power, roaming zones, and coverage validation.

The module focuses on creating predictable wireless service across operational environments while avoiding excessive overlap and poorly planned access point density.

Module 5: Wi-Fi 6 Deployment and Enterprise Modernisation

This module focuses on Wi-Fi 6 deployment strategies for modern enterprise environments. Participants examine deployment planning, infrastructure readiness, client compatibility, capacity requirements, spectrum efficiency, high-density environments, and performance considerations.

The module addresses the organisational transition from legacy wireless infrastructure to modern Wi-Fi capabilities. Participants consider deployment sequencing, testing, validation, monitoring, and operational readiness.

Module 6: Enterprise Wireless Security Architecture

This module examines enterprise wireless security from an architectural perspective. Topics include authentication, authorisation, encryption, network segmentation, secure configuration, identity integration, guest access, device access policies, and security monitoring.

Participants learn how wireless security controls should operate as part of the wider enterprise security architecture rather than as isolated wireless settings.

Module 7: WPA3 Encryption and Secure Authentication

This module examines WPA3 encryption and modern wireless authentication approaches. Participants explore security configuration, authentication mechanisms, client compatibility, deployment considerations, and security policy requirements.

The module also addresses the importance of integrating wireless authentication with organisational identity and access management processes. Security controls are examined in relation to user identity, device trust, network access, and operational governance.

Module 8: Wireless Segmentation and Access Control

This module addresses the separation of wireless traffic according to organisational requirements. Participants examine corporate networks, guest networks, operational devices, sensitive systems, and other wireless access categories.

The module covers segmentation principles, access policies, authentication controls, privilege management, and traffic isolation. The objective is to reduce unnecessary exposure and establish controlled access across wireless environments.

Module 9: Wireless Threats and Security Risk Management

This module examines common wireless security threats and operational vulnerabilities. Topics include rogue access points, unauthorised clients, insecure configurations, credential attacks, malicious wireless devices, network impersonation, interference-based disruption, and unauthorised access.

Participants examine risk identification, security controls, monitoring practices, incident escalation, and remediation processes. The module establishes a structured approach to protecting wireless infrastructure against evolving threats.

Module 10: Wireless Monitoring and Performance Optimisation

This module focuses on continuous wireless monitoring and performance management. Participants examine client connectivity, utilisation, signal quality, interference, roaming behaviour, access point health, capacity, and network availability.

The module emphasises proactive management. Monitoring data can support performance analysis, capacity forecasting, troubleshooting, security investigations, and infrastructure optimisation.

Module 11: Wireless Troubleshooting and Incident Response

This module examines systematic approaches to diagnosing wireless connectivity and security problems. Participants analyse issues involving coverage, interference, authentication, roaming, configuration, capacity, device compatibility, and network integration.

Security incidents involving unauthorised wireless devices and suspicious access behaviour are also addressed. The module establishes processes for identifying problems, isolating causes, applying corrective measures, and restoring reliable service.

Module 12: Wireless Governance, Documentation and Lifecycle Management

The final module addresses long-term management of enterprise wireless infrastructure. Participants examine configuration standards, documentation, security policies, performance baselines, change management, capacity planning, technology upgrades, and lifecycle management.

The module reinforces the importance of maintaining wireless infrastructure as a continuously managed enterprise service. Organisations can use structured governance to support security consistency, operational resilience, predictable performance, and future technology adoption.

Explore our Artificial Intelligence in Cybersecurity Training Course to master AI-driven threat detection, prevention and defence.

The Artificial Intelligence in Cybersecurity Training Course by Geneva Institute of Business Management, within the Information & Communication Technology category, equips organisations with AI-driven cybersecurity capabilities. The programme explores machine learning, intelligent threat detection, predictive analytics, automated incident response, and threat intelligence to strengthen cyber defence, improve risk assessment, and enhance operational resilience. Participants learn how AI supports security monitoring, anomaly detection, vulnerability management, and informed decision-making across complex digital environments. Designed for modern organisations, this corporate training course promotes the strategic and responsible integration of artificial intelligence into cybersecurity operations.

Objectives Strengthen AI-Driven Cybersecurity Capabilities

The course enables organisations to develop a stronger understanding of how artificial intelligence supports modern cybersecurity operations. Participants examine AI technologies, analytical approaches, and automation capabilities that contribute to stronger security monitoring, detection, investigation, and response.

Improve AI Threat Detection

Participants develop an understanding of how artificial intelligence identifies abnormal activity, suspicious behaviour, malicious patterns, and potential indicators of compromise. The programme focuses on the organisational value of faster detection and improved security event analysis.

Apply Machine Learning to Cybersecurity

The programme examines machine learning cybersecurity applications across security monitoring, anomaly detection, behavioural analysis, classification, and predictive security. Participants understand how machine learning models can support security decisions while recognising the importance of quality data and appropriate model governance.

Enhance Automated Incident Response

Participants explore how automated incident response can streamline security workflows. The programme addresses alert classification, event correlation, incident prioritisation, response orchestration, containment workflows, and escalation processes that can improve the efficiency of security operations.

Develop AI-Based Threat Intelligence

The course examines AI-based threat intelligence capabilities that support the processing and interpretation of threat information. Participants learn how AI can help correlate indicators, identify patterns, analyse adversary behaviour, and support proactive security planning.

Support Security Operations Centre Performance

Participants gain insight into how AI can improve Security Operations Centre processes by reducing repetitive analysis, prioritising alerts, identifying relationships between security events, and supporting analysts with contextual information.

Improve Cyber Risk Management

The programme connects AI-enabled security capabilities with organisational risk management. Participants examine how AI can support risk prioritisation, vulnerability analysis, threat assessment, and security decision-making.

Establish Responsible AI Security Practices

The course addresses the governance considerations associated with using artificial intelligence in cybersecurity. Participants consider data quality, model reliability, explainability, human oversight, privacy, access controls, bias, security of AI systems, and operational accountability.

Support Strategic Technology Decisions

The programme enables organisational stakeholders to assess where AI can deliver meaningful cybersecurity value. Participants develop a clearer framework for evaluating AI-enabled security capabilities against organisational objectives, operational requirements, risk exposure, and available resources.

Target Audience Cybersecurity Professionals

This course is suitable for cybersecurity professionals responsible for security monitoring, threat detection, incident management, vulnerability management, security architecture, or cyber risk. It provides a broader perspective on applying AI to existing cybersecurity operations.

Security Operations Centre Teams

Security Operations Centre personnel can benefit from understanding how AI supports alert analysis, behavioural monitoring, event correlation, threat prioritisation, and automated incident response. The programme helps teams evaluate opportunities for improving operational efficiency through intelligent technologies.

IT Managers and Technology Leaders

IT managers and technology leaders can use the programme to understand the organisational implications of AI-driven cybersecurity. The course supports informed decisions regarding technology adoption, operational integration, governance, and security investment.

Cyber Risk and Compliance Professionals

Professionals responsible for cyber risk, governance, compliance, and security assurance can explore how AI influences threat assessment and security controls. The programme also considers governance requirements associated with deploying AI within sensitive security environments.

Network and Systems Security Professionals

Network and systems specialists can strengthen their understanding of AI applications in network monitoring, anomaly detection, endpoint analysis, behavioural security, and automated response workflows.

Security Architects

Security architects can examine how AI capabilities integrate into enterprise security architectures. The programme supports strategic thinking around data flows, security analytics, automation, intelligence platforms, and AI-enabled defensive controls.

Technology Executives and Decision Makers

Executives, directors, and senior decision makers can gain a strategic understanding of how AI transforms cybersecurity operations. The programme helps leadership teams evaluate opportunities, risks, governance requirements, and organisational readiness for AI adoption.

Modules Module 1: Foundations of AI in Cybersecurity

This module establishes the strategic foundation for AI in Cybersecurity. It examines artificial intelligence concepts relevant to security operations and explains how AI capabilities differ from conventional rule-based security mechanisms.

Key areas include:

• Artificial intelligence in modern cybersecurity
• AI-enabled security operations
• Security analytics and intelligent automation
• Data-driven cyber defence
• AI applications across enterprise security
• Opportunities and limitations of AI adoption
• Organisational readiness for AI-enabled cybersecurity

Module 2: Machine Learning Cybersecurity Applications

This module focuses on the role of machine learning in identifying security patterns and supporting cyber defence. Participants examine how models process security data and how different analytical approaches support different cybersecurity objectives.

Key areas include:

• Supervised and unsupervised learning
• Classification for security analysis
• Anomaly detection
• Behavioural analytics
• Predictive security analysis
• Feature selection and security datasets
• Model performance considerations
• Machine learning cybersecurity use cases

Module 3: AI Threat Detection and Behavioural Analytics

This module examines how AI supports the identification of suspicious activity across networks, endpoints, applications, users, and digital infrastructure. Participants explore behavioural analysis and anomaly detection approaches for identifying activity that differs from established patterns.

Key areas include:

• AI threat detection
• User and entity behaviour analysis
• Network anomaly detection
• Endpoint behavioural analysis
• Malicious activity identification
• Pattern recognition
• Indicators of compromise
• False positive reduction
• Threat prioritisation

Module 4: Artificial Intelligence for Threat Intelligence

This module examines how AI improves the collection, processing, correlation, and interpretation of cybersecurity intelligence. Participants explore how intelligent technologies can help security teams transform large volumes of information into actionable insights.

Key areas include:

• Threat intelligence AI
• Threat data processing
• Indicator correlation
• Adversary behaviour analysis
• Threat pattern identification
• Vulnerability intelligence
• Predictive threat analysis
• Intelligence prioritisation
• Actionable security intelligence

Module 5: AI-Enabled Security Operations

This module examines how artificial intelligence can strengthen Security Operations Centre activities. Participants explore the integration of AI with security information, monitoring platforms, endpoint security, network controls, and analytical workflows.

Key areas include:

• AI-assisted security monitoring
• Security event analysis
• Alert correlation
• Alert prioritisation
• Security data analysis
• Operational intelligence
• Analyst augmentation
• AI-supported investigation
• Security workflow optimisation

Module 6: Automated Incident Response

This module focuses on the application of artificial intelligence and automation throughout the incident response lifecycle. Participants examine how intelligent systems can support faster and more consistent responses to cybersecurity events.

Key areas include:

• Automated incident response
• Incident classification
• Event correlation
• Automated investigation
• Response orchestration
• Containment workflows
• Threat isolation
• Escalation processes
• Human oversight
• Post-incident analysis

Module 7: AI for Vulnerability and Risk Management

This module explores how AI can support vulnerability identification, risk prioritisation, and security decision-making. Organisations can use intelligent analysis to evaluate large volumes of technical and contextual information.

Key areas include:

• AI-supported vulnerability analysis
• Vulnerability prioritisation
• Risk-based security decisions
• Threat and vulnerability correlation
• Predictive risk analysis
• Security exposure assessment
• Asset risk classification
• Cyber risk monitoring

Module 8: AI in Network, Endpoint and Cloud Security

This module addresses AI applications across modern enterprise technology environments. Participants examine how intelligent analytics can improve visibility and detection across network infrastructure, endpoints, cloud platforms, and distributed systems.

Key areas include:

• AI for network security
• Endpoint threat analysis
• Cloud security analytics
• Behavioural monitoring
• Anomaly identification
• Distributed security monitoring
• AI-enabled access analysis
• Infrastructure protection

Module 9: AI Governance, Security and Responsible Deployment

This module examines the governance requirements associated with using artificial intelligence for cybersecurity. Participants consider how organisations can deploy AI while maintaining security, accountability, privacy, and operational control.

Key areas include:

• AI governance
• Security of AI systems
• Data quality and integrity
• Model reliability
• Explainability
• Human oversight
• Privacy considerations
• Access control
• AI risk management
• Responsible AI deployment

Module 10: Strategic Implementation of AI in Cybersecurity

The final module focuses on translating AI capabilities into an organisational cybersecurity strategy. Participants examine how enterprises can identify appropriate use cases, evaluate technology options, establish governance, measure outcomes, and integrate AI into existing security operations.

Key areas include:

• AI cybersecurity strategy
• Enterprise AI adoption
• Security technology assessment
• AI implementation planning
• Integration with existing security operations
• Performance measurement
• Operational improvement
• Continuous security optimisation
• Future trends in AI-driven cyber defence