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Artificial Intelligence in - Cybersecurity

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Objectives

This course centers on applying AI to strengthen cybersecurity systems through real-time threat detection, anomaly analysis, and automated risk modeling. It focuses on using machine learning, GenAI, and behavioral analytics to anticipate attacks, prevent breaches, and secure digital environments. The program also emphasizes building proactive defenses, integrating AI with existing security workflows, and leveraging predictive intelligence to respond quickly to evolving cyber threats.



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Course Outcome

Detect and respond to sophisticated cybersecurity threats using AI-powered tools and techniques.
Build and deploy anomaly detection models that identify unusual or malicious behavior in real time.
Combat phishing attacks effectively through natural language processing and generative AI methods.
Develop automated risk scoring and threat modeling systems for proactive security management.
Navigate the dual-use nature of generative AI for both attack and defense strategies.
Integrate AI-driven security tools into existing cyber defense infrastructure.
Uphold ethical standards in AI cybersecurity practices, ensuring privacy, fairness, and accountability.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Contact Us
Ready to get started?
Let's chat.
info@mazenetsolution.com +91 9500929297
          +91 7397723052
Get In Touch With Us


Get Started Today

Course Preview

  • Understand why AI is critical for modern cybersecurity.
  • Identify limitations of traditional security tools and methods.
  • Get introduced to AI techniques including machine learning, deep learning, and Generative AI.
  • Practice writing functions, boilerplate code, and comments with AI support.
  • Apply supervised and unsupervised models for anomaly detection.
  • Use tools like Splunk AI, Darktrace, and Microsoft Sentinel for practical experience.
  • Explore how Generative AI plays a dual role in phishing attack and defense.
  • Detect phishing emails and malicious domains with NLP.
  • Analyze email tone, intent, and threats in real time using AI-powered tools such as IRONSCALES and Abnormal Security.
  • Build risk classification models that prioritize assets and vulnerabilities.
  • Use predictive analytics based on threat intelligence feeds.
  • Create dynamic cyber risk dashboards powered by AI.
  • Automate detection of Indicators of Compromise (IOC).
  • Enrich threat data and correlate patterns for faster incident response.
  • Integrate AI-driven triage with SOAR platforms and real-time threat feeds.
  • Securing AI Systems (AI for Cyber and Cyber for AI)
  • Study threats to AI models like data poisoning and evasion attacks.
  • Implement model hardening techniques and adversarial testing.
  • Train an anomaly detection model using network log data.
  • Simulate phishing classification with NLP tools.
  • Understand AI bias in code suggestions and its impact on software quality.
  • Perform threat hunting with machine learning enhanced SIEM solutions.