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Threat Hunting & Detection Engineering Training Course

Shows how to build hunting hypotheses, analyse endpoint, network and identity telemetry, and engineer detections that catch advanced threats earlier.

TICM · Threat Intelligence & Cyber Threat ManagementAll Levels#2535ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

This advanced practical course develops the capabilities required to proactively identify sophisticated cyber threats and engineer effective detection mechanisms across enterprise environments. It combines threat hunting methodologies with detection engineering practices to help security teams move beyond reactive alert handling toward proactive discovery and continuous improvement. The program covers threat hunting methodologies, hypothesis development, threat intelligence integration, telemetry analysis, detection logic, analytics, behavioral indicators, endpoint and network data, detection rules, alert quality, and validation. Participants learn how to transform threat intelligence and adversary behaviour into measurable detection capabilities that support security operations. Through practical hunting scenarios and detection engineering workshops, participants will investigate suspicious activities, develop hunting hypotheses, analyse security telemetry, create and validate detection logic, reduce false positives, identify detection gaps, and improve coverage against evolving attack techniques.

Learning Objectives

  • Analyse the principles and operating models of threat hunting and detection engineering.
  • Develop threat hunting hypotheses based on risks, intelligence, and adversary behaviour.
  • Identify and evaluate telemetry required for effective threat detection.
  • Analyse endpoint, network, identity, application, and cloud security data.
  • Apply structured techniques for proactive threat hunting.
  • Translate adversary tactics, techniques, and procedures into detection requirements.
  • Design detection logic based on behavioural and technical indicators.
  • Develop and validate detection rules for security monitoring environments.
  • Evaluate detection quality, false positives, false negatives, and alert effectiveness.
  • Identify detection coverage gaps and prioritize improvements.
  • Integrate threat intelligence, hunting, detection, and incident response workflows.
  • Develop a continuous threat hunting and detection engineering improvement framework.

Who Should Attend

This course is designed for threat hunters, detection engineers, security operations centre analysts, cybersecurity analysts, incident responders, threat intelligence professionals, security engineers, and security monitoring specialists. It is also suitable for SOC managers, cybersecurity managers, threat researchers, security architects, vulnerability management professionals, digital forensics specialists, and technical leads responsible for improving enterprise detection and response capabilities. The program is particularly relevant to organizations seeking to strengthen proactive threat discovery, improve detection coverage, reduce ineffective alerts, and build a structured detection engineering capability aligned with current and emerging attack techniques.

Learning Outcomes

  • Explain the relationship between threat hunting, detection engineering, and security operations.
  • Develop structured threat hunting hypotheses from intelligence and security risks.
  • Identify relevant telemetry and data sources for hunting activities.
  • Analyse endpoint, network, identity, application, and cloud security events.
  • Investigate suspicious behaviours using systematic hunting techniques.
  • Map adversary behaviours to relevant tactics, techniques, and procedures.
  • Translate hunting findings into actionable detection requirements.
  • Develop and test behavioural and technical detection logic.
  • Validate detection rules using realistic attack scenarios.
  • Assess false positives, false negatives, alert quality, and detection effectiveness.
  • Identify gaps in detection coverage and prioritize engineering improvements.
  • Establish an integrated framework for continuous hunting and detection improvement.

Course Outline

Day 1

Threat Hunting Foundations, Methodologies & Hypothesis Development

  • Threat hunting principles and objectives
  • Proactive versus reactive security operations
  • Threat hunting lifecycle
  • Intelligence-driven hunting
  • Threat hunting hypotheses
  • Risk-based hunting priorities
  • Adversary behaviour and attack patterns
  • Threat modelling for hunting activities
  • Data sources and telemetry requirements
  • Hunting workflows and documentation
  • Practical Application: Developing threat hunting hypotheses from a simulated threat intelligence scenario
Day 2

Security Telemetry, Data Analysis & Adversary Behaviour

  • Endpoint telemetry and process activity
  • Network traffic and communication data
  • Identity and authentication events
  • Application and cloud activity
  • Security logs and event correlation
  • Behavioural indicators and anomalies
  • Indicators of compromise and indicators of attack
  • Adversary tactics, techniques, and procedures
  • Correlating events across multiple data sources
  • Identifying suspicious activity and attack patterns
  • Practical Application: Analysing multi-source security telemetry to identify a simulated adversary activity
Day 3

Detection Engineering & Detection Logic

  • Detection engineering principles
  • From threat intelligence to detection requirements
  • Detection use cases and security objectives
  • Behaviour-based versus indicator-based detection
  • Detection logic and rule development
  • Event correlation and analytical conditions
  • Detection coverage and attack technique mapping
  • Detection tuning and optimization
  • Alert prioritization and contextual enrichment
  • Detection documentation and lifecycle management
  • Practical Application: Designing detection logic for selected adversary techniques and developing corresponding detection rules
Day 4

Detection Validation, Threat Investigation & Response Integration

  • Detection testing and validation
  • Attack simulation and detection verification
  • False positives and false negatives
  • Alert quality and operational effectiveness
  • Detection gap analysis
  • Threat investigation using detection results
  • Escalation and incident response integration
  • Threat intelligence enrichment
  • Detection performance measurement
  • Improving detection accuracy and coverage
  • Practical Application: Testing detection rules against simulated attack activity and refining them to improve accuracy and reduce unnecessary alerts
Day 5

Advanced Threat Hunting, Detection Coverage & Continuous Improvement

  • Advanced hunting techniques
  • Threat-led detection engineering
  • Detection coverage assessment
  • Prioritizing detection gaps
  • Measuring hunting and detection effectiveness
  • Detection maturity and operational metrics
  • Collaboration between threat hunters, SOC, intelligence, and incident response teams
  • Detection content lifecycle management
  • Continuous tuning and improvement
  • Building a sustainable threat hunting capability
  • Final Workshop: Developing an integrated threat hunting and detection engineering framework covering intelligence, hypotheses, telemetry, analysis, detection development, validation, response integration, coverage assessment, and continuous improvement

Upcoming Dates

Selected date

Doha · 23 – 27 Aug 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
MunichScheduled
2 – 6 Nov 2026€6,000—
MuscatScheduled
9 – 13 Nov 2026€6,300—
OnlineScheduled
15 – 19 Nov 2026€2,700—
ParisScheduled
23 – 27 Nov 2026€6,700€6,030until 2 Nov
RiyadhScheduled
23 – 27 Nov 2026€4,800€4,320until 2 Nov
RomeScheduled
30 Nov – 4 Dec 2026€7,000€6,300until 9 Nov
SalalahScheduled
7 – 11 Dec 2026€6,300€5,670until 16 Nov
SingaporeScheduled
14 – 18 Dec 2026€8,000€7,200until 23 Nov
TrabzonScheduled
21 – 25 Dec 2026€5,300€4,770until 30 Nov
TunisiaScheduled
28 Dec 2026 – 1 Jan 2027€4,300€3,870until 7 Dec
ViennaScheduled
4 – 8 Jan 2027€6,400€5,760until 14 Dec
AmmanScheduled
10 – 14 Jan 2027€4,000€3,600until 21 Dec
AmsterdamScheduled
11 – 15 Jan 2027€6,000€5,400until 21 Dec
BakuScheduled
18 – 22 Jan 2027€5,300€4,770until 28 Dec
BarcelonaScheduled
25 – 29 Jan 2027€6,000€5,400until 4 Jan
CairoScheduled
1 – 5 Feb 2027€3,800€3,420until 11 Jan
CasablancaScheduled
8 – 12 Feb 2027€4,700€4,230until 18 Jan
DammamScheduled
15 – 19 Feb 2027€4,800€4,320until 25 Jan
DohaScheduled
22 – 26 Feb 2027€4,700€4,230until 1 Feb
DubaiScheduled
28 Feb – 4 Mar 2027€4,700€4,230until 8 Feb
GenevaScheduled
1 – 5 Mar 2027€7,300€6,570until 8 Feb
IstanbulScheduled
8 – 12 Mar 2027€5,300€4,770until 15 Feb
Kuala LumpurScheduled
15 – 19 Mar 2027€4,700€4,230until 22 Feb
LisbonScheduled
22 – 26 Mar 2027€6,000€5,400until 1 Mar
LondonScheduled
29 Mar – 2 Apr 2027€5,800€5,220until 8 Mar
MadridScheduled
5 – 9 Apr 2027€6,000€5,400until 15 Mar
MakkahScheduled
12 – 16 Apr 2027€4,800€4,320until 22 Mar
ManamaScheduled
12 – 16 Apr 2027€5,300€4,770until 22 Mar
MarrakeshScheduled
19 – 23 Apr 2027€4,700€4,230until 29 Mar
MilanScheduled
26 – 30 Apr 2027€7,000€6,300until 5 Apr
DohaScheduled
23 – 27 Aug 2027€4,700€4,230until 2 Aug

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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