Certified Professional in AI for Security Incident Handling
-- viewing nowAI for Security Incident Handling AI for Security Incident Handling is a certification program designed for professionals who want to master the art of using Artificial Intelligence (AI) in security incident response. This program is ideal for security professionals and IT experts who want to stay ahead of the curve in the ever-evolving threat landscape.
4,097+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
By mastering AI for Security Incident Handling, you'll learn to analyze complex data, identify patterns, and respond to incidents more effectively.
Gain hands-on experience with AI-powered tools and techniques, and take your career to the next level.
Explore the world of AI for Security Incident Handling today and discover a new way to protect your organization.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Incident Response Planning: This unit focuses on developing a comprehensive plan to respond to security incidents, including identifying potential threats, establishing incident response teams, and defining incident response procedures. •
Threat Intelligence: This unit covers the collection, analysis, and dissemination of threat intelligence to support incident response efforts, including identifying and characterizing threats, analyzing threat actor motivations, and developing threat intelligence reports. •
Network Security Monitoring: This unit teaches students how to monitor network traffic to detect and respond to security incidents, including using network intrusion detection systems, analyzing network logs, and implementing network security controls. •
Incident Response Tools and Technologies: This unit covers the various tools and technologies used in incident response, including security information and event management (SIEM) systems, incident response platforms, and digital forensics tools. •
Cloud Security Incident Response: This unit focuses on the unique challenges and opportunities of responding to security incidents in cloud environments, including managing cloud security controls, responding to cloud-based threats, and implementing cloud security incident response plans. •
Artificial Intelligence and Machine Learning in Incident Response: This unit explores the use of artificial intelligence (AI) and machine learning (ML) in incident response, including using AI-powered threat detection, ML-based incident response automation, and AI-driven incident response analytics. •
Cybersecurity Governance and Compliance: This unit covers the importance of cybersecurity governance and compliance in incident response, including developing and implementing cybersecurity policies, managing cybersecurity risk, and ensuring compliance with relevant regulations and standards. •
Digital Forensics and Incident Response: This unit teaches students how to conduct digital forensics and incident response, including collecting and analyzing digital evidence, conducting incident response investigations, and developing digital forensics and incident response reports. •
Communication and Collaboration in Incident Response: This unit focuses on the importance of effective communication and collaboration in incident response, including developing incident response communication plans, managing incident response teams, and facilitating communication between stakeholders. •
Continuous Monitoring and Improvement in Incident Response: This unit covers the importance of continuous monitoring and improvement in incident response, including developing incident response metrics, conducting incident response reviews, and implementing continuous improvement initiatives.
Incident Response Planning: This unit focuses on developing a comprehensive plan to respond to security incidents, including identifying potential threats, establishing incident response teams, and defining incident response procedures. •
Threat Intelligence: This unit covers the collection, analysis, and dissemination of threat intelligence to support incident response efforts, including identifying and characterizing threats, analyzing threat actor motivations, and developing threat intelligence reports. •
Network Security Monitoring: This unit teaches students how to monitor network traffic to detect and respond to security incidents, including using network intrusion detection systems, analyzing network logs, and implementing network security controls. •
Incident Response Tools and Technologies: This unit covers the various tools and technologies used in incident response, including security information and event management (SIEM) systems, incident response platforms, and digital forensics tools. •
Cloud Security Incident Response: This unit focuses on the unique challenges and opportunities of responding to security incidents in cloud environments, including managing cloud security controls, responding to cloud-based threats, and implementing cloud security incident response plans. •
Artificial Intelligence and Machine Learning in Incident Response: This unit explores the use of artificial intelligence (AI) and machine learning (ML) in incident response, including using AI-powered threat detection, ML-based incident response automation, and AI-driven incident response analytics. •
Cybersecurity Governance and Compliance: This unit covers the importance of cybersecurity governance and compliance in incident response, including developing and implementing cybersecurity policies, managing cybersecurity risk, and ensuring compliance with relevant regulations and standards. •
Digital Forensics and Incident Response: This unit teaches students how to conduct digital forensics and incident response, including collecting and analyzing digital evidence, conducting incident response investigations, and developing digital forensics and incident response reports. •
Communication and Collaboration in Incident Response: This unit focuses on the importance of effective communication and collaboration in incident response, including developing incident response communication plans, managing incident response teams, and facilitating communication between stakeholders. •
Continuous Monitoring and Improvement in Incident Response: This unit covers the importance of continuous monitoring and improvement in incident response, including developing incident response metrics, conducting incident response reviews, and implementing continuous improvement initiatives.
Career path
Certified Professional in AI for Security Incident Handling
Job Description:
A Certified Professional in AI for Security Incident Handling is a highly skilled professional who designs and implements AI-powered security incident response systems. They work closely with security teams to identify and mitigate potential threats, ensuring the confidentiality, integrity, and availability of sensitive data.
Data Scientist
Job Description:
A Data Scientist is a data-driven professional who collects, analyzes, and interprets complex data to inform business decisions. They use machine learning algorithms and statistical models to identify trends and patterns, driving business growth and innovation.
Artificial Intelligence/Machine Learning Engineer
Job Description:
An Artificial Intelligence/Machine Learning Engineer is a technical expert who designs and develops AI and machine learning models to solve complex problems. They work on developing intelligent systems that can learn, reason, and interact with humans.
Cyber Security Engineer
Job Description:
A Cyber Security Engineer is a security professional who designs and implements secure computer systems and networks. They use a range of security technologies, including firewalls, intrusion detection systems, and encryption, to protect against cyber threats.
Information Security Analyst
Job Description:
An Information Security Analyst is a security professional who identifies and mitigates potential security threats to an organization's information assets. They use a range of security tools and techniques, including vulnerability scanning and penetration testing, to ensure the confidentiality, integrity, and availability of sensitive data.
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFIED PROFESSIONAL IN AI FOR SECURITY INCIDENT HANDLING
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
