The Conducting Threat Hunting and Defending using Cisco Technologies for Cybersecurity (300-220 CBRTHD) v1.0 is a 90-minute exam designed to assess a candidate’s expertise in conducting threat hunting and defending. This includes knowledge of threat modeling techniques, threat actor attribution, threat hunting methodologies, processes, and outcomes. SPOTO provides the latest and most updated Cisco 300-220 exam questions, enabling candidates to efficiently study and pass the CCNP Cybersecurity concentration exam. With SPOTO practice tests, you can confidently pass the Cisco 300-220 CBRTHD exam on your first attempt. Successfully completing this exam awards you the Cisco Certified Cybersecurity Specialist - Threat Hunting and Defending certification and helps fulfill the concentration exam requirement for the CCNP Cybersecurity certification.
The Conducting Threat Hunting and Defending using Cisco Technologies for Cybersecurity (300-220 CBRTHD) v1.0 is a 90-minute exam designed to assess a candidate’s expertise in conducting threat hunting and defending. This includes knowledge of threat modeling techniques, threat actor attribution, threat hunting methodologies, processes, and outcomes. SPOTO provides the latest and most updated Cisco 300-220 exam questions, enabling candidates to efficiently study and pass the CCNP Cybersecurity concentration exam. With SPOTO practice tests, you can confidently pass the Cisco 300-220 CBRTHD exam on your first attempt. Successfully completing this exam awards you the Cisco Certified Cybersecurity Specialist - Threat Hunting and Defending certification and helps fulfill the concentration exam requirement for the CCNP Cybersecurity certification.
The following topics outline the content covered on the Cisco 300-220 CBRTHD exam.
1.0 Threat Hunting Fundamentals (20%)
Apply the Threat Hunting Maturity Model to an organization's environment, addressing factors like the Pyramid of Pain.
Model threats using standards such as MITRE ATT&CK, MITRE CAPEC, and more.
Understand the limitations of malware detection tools, including behavior, propagation, and detection.
Analyze the advantages and disadvantages of automation in SOC operations.
Use logs to differentiate tactics, techniques, and procedures between threat actors.
Interpret and assess threat intelligence reports to identify threat actors and their tactics.
2.0 Threat Modeling Techniques (10%)
Select appropriate threat modeling approaches based on scenarios.
Model threats using MITRE ATT&CK, understanding tactics, techniques, and procedures.
Explore structured and unstructured threat hunting, determining priorities based on the Cyber Kill Chain and MITRE ATT&CK.
Utilize threat intelligence effectively, focusing on gathering, cataloging, and utilizing intelligence.
3.0 Threat Actor Attribution Techniques (20%)
Identify tactics, techniques, and procedures (TTPs) from logs.
Interpret threat actor TTPs and assess delivery methods.
Determine how to identify and differentiate between authorized assessments and attacks.
Utilize the Pyramid of Pain to detect advanced persistent threats.
4.0 Threat Hunting Techniques (20%)
Use scripting languages like Python and PowerShell to enhance detection and analysis.
Conduct cloud-native threat hunts.
Identify undetected threats using endpoint artifacts and C2 communications data.
Analyze suspicious activity by examining session and protocol data.
Perform memory analysis and identify attacks using memory-specific tools.
Construct detection signatures and recognize attack likelihood through analysis tools.
5.0 Threat Hunting Processes (20%)
Recognize memory-resident attacks and reverse engineer compromises.
Identify gaps in detection and address them through playbooks.
Recommend tools and configurations for threat hunting and remediation strategies.
Improve threat hunting efficiency and recommend security countermeasures.
6.0 Threat Hunting Outcomes (10%)
Use multiproduct integration for enhanced data visibility.
Identify gaps in analysis and recommend mitigation strategies.
Propose changes to threat hunting and detection methodologies to improve effectiveness.
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