AI

IN
CYBER
SECURITY

An immersive two days hands-on training experience

AI

IN
CYBER
SECURITY

An immersive two days hands-on training experience

about the training

Our AI in Cybersecurity Training offers a comprehensive dive into the world of artificial intelligence and its game-changing impact on cybersecurity. This program is crafted to equip you with the knowledge and hands-on experience needed to understand and implement AI-driven security solutions. From fundamental concepts to advanced techniques, our training sessions prepare you for the future of cybersecurity with an AI-powered approach.

ABOUT THE TRAINING

Our AI in Cybersecurity Training offers a comprehensive dive into the world of artificial intelligence and its game-changing impact on cybersecurity. This program is crafted to equip you with the knowledge and hands-on experience needed to understand and implement AI-driven security solutions. From fundamental concepts to advanced techniques, our training sessions prepare you for the future of cybersecurity with an AI-powered approach.

ABOUT THE BOOTCAMP

Cyber risk management training holds paramount importance in today's digital landscape for a few compelling reasons. It plays a pivotal role in protecting an organization's most valuable assets. Also mitigates the risk of costly data breaches and system disruptions, preserving the integrity of critical information and operations

TRAINING HIGHLIGHTS

9 Comprehensive Sessions

Explore every facet of AI in cybersecurity, from
foundational concepts to emerging trends.

Hands-On
Labs

Real-world exercises including anomaly detection, threat intelligence extraction, and deep learning applications.

Group Activities & Case Studies

Practical, collaborative learning with discussions on tools and more.


Advanced AI Techniques

Understand adversarial AI, deep learning, and future applications in compliance and regulatory environments.

9 Comprehensive Sessions

Explore every facet of AI in cybersecurity, from
foundational concepts to emerging trends.

Hands-On
Labs

Real-world exercises including anomaly detection, threat intelligence extraction, and deep learning applications.

Group Activities & Case Studies

Practical, collaborative learning with discussions on tools like Darktrace, CrowdStrike, and more.

Advanced AI Techniques

Understand adversarial AI, deep learning, and future applications in compliance and regulatory environments.

9 Comprehensive Sessions

Explore every facet of AI in cybersecurity, from foundational concepts to emerging trends.

Hands-On Labs

Real-world exercises including anomaly detection, threat intelligence extraction, and deep learning applications.

Group Activities & Case Studies

Practical, collaborative learning with discussions on tools and more.

Advanced AI Techniques

Understand adversarial AI, deep learning, and future applications in compliance and regulatory environments.

Step Into the Future of Cyber Defense with AI

Whether you’re new to AI or looking to refine your skills, this program offers a practical, in-depth look at AI’s role in proactive security. Secure your place now to stay ahead in the fast-evolving cyber landscape!

Peek inside: Discover the superpowers
waiting for you in this training!

Have more doubts? Click below

01

Future-Ready Skills

Equip yourself with the latest AI and ML techniques to stay ahead in cybersecurity.

02

Real-World Application

Dive deep into practical implementations with hands-on labs, interactive case studies, and group discussions.

03

Expert-Led Learning

Learn from seasoned experts, gaining insights into cutting-edge AI applications in cyber defense, threat intelligence, and beyond.

04

Collaborative Networking

Engage with like-minded professionals, sharing insights on key AI-powered tools and technologies shaping the industry.

Peek inside: Discover the superpowers
waiting for you in this training!

Have more doubts? Click below

01

Future-Ready Skills

Equip yourself with the latest AI and ML techniques to stay ahead in cybersecurity.

02

Real-World Application

Dive deep into practical implementations with hands-on labs, interactive case studies, and group discussions.

03

Expert-Led Learning

Learn from seasoned experts, gaining insights into cutting-edge AI applications in cyber defense, threat intelligence, and beyond.

04

Collaborative Networking

Engage with like-minded professionals, sharing insights on key AI-powered tools and technologies shaping the industry.

Trainer Profile

A Certified cybersecurity professional, result-oriented IT& IS change leader with more than 18 years of experience in implementing secure technical business decisions and delivering value-added solutions.

TRAINer PROFILE

A Certified cybersecurity professional, result-oriented
IT & IS change leader with more than 18 years of experience in implementing secure technical business decisions and delivering value-added solutions.

tRAINING sCHEDULE

Training Curriculum

Day 1: Foundations of AI and Machine Learning in Cybersecurity

Duration: 1 hour

  • Introduction to AI, ML, and Data Science in the context of cybersecurity
  • Evolution of AI in cybersecurity: History, present, and future
  • Benefits and challenges of using AI in cybersecurity

Activity: Group discussion on known AI-based cybersecurity tools and technologies

Duration: 1.5 hours

  • Types of machine learning: Supervised, unsupervised, and reinforcement learning
  • Key algorithms used in cybersecurity: Classification, clustering, anomaly detection
  • Overview of natural language processing (NLP) for threat intelligence

Activity: Short quiz to reinforce AI/ML concepts

Duration: 2 hours

  • AI for intrusion detection and prevention (IDS/IPS)
  • Leveraging machine learning for real-time threat detection
  • Understanding anomaly detection vs. behavioral analysis
  • Case studies: AI for threat hunting

Hands-On Exercise: Setting up a basic machine learning model for anomaly detection in a network dataset

Duration: 1.5 hours

  • AI in endpoint protection and response (EPP & EDR)
  • Predictive modeling for malware detection
  • Automated responses and AI in SOAR (Security Orchestration, Automation, and Response)
  • Case study on using AI for phishing detection

Activity: Interactive group discussion on key AI tools used in the industry (e.g., Darktrace, CrowdStrike)

Duration: 1 hour

  • Data privacy and ethical concerns in AI
  • Common issues: Data quality, labeling, and false positives
  • Resource and skill requirements
  • Discussing real-world limitations of AI in cybersecurity

Activity: Group exercise on identifying potential biases and ethical issues in AI applications

Day 2: Advanced Applications and
Future Directions

Duration: 1.5 hours

  • AI in threat intelligence: Gathering and analyzing threat data
  • Predictive risk modeling for proactive security measures
  • AI-driven vulnerability management and patch prioritization

Hands-On Exercise: Basic NLP implementation for extracting threat intelligence from text data

Duration: 2 hours

  • Deep learning techniques for cybersecurity
  • Graph-based algorithms for threat mapping and analysis
  • Case study on advanced ML techniques for detecting insider threats

Hands-On Exercise: Experimenting with a pre-trained deep learning model for image or log data anomaly detection

Duration: 1.5 hours

  • Understanding adversarial attacks on AI models
  • Techniques like evasion, poisoning, and model inversion
  • Defense mechanisms and how to secure AI models
  • Case study on adversarial AI in phishing and malware evasion

Hands-On Exercise: Experimenting with a pre-trained deep learning model for image or log data anomaly detection

Duration: 1 hour

  • Emerging trends: Explainable AI, self-learning systems, AI in zero-trust
  • Role of AI in compliance and regulatory environments
  • Prospective advancements and skills required in AI for cybersecurity

Activity: Roundtable discussion on how AI might transform the cybersecurity landscape in the next decade

Training Curriculum

Day 1: Foundations of AI and Machine Learning in Cybersecurity

Duration: 1 hour

  • Introduction to AI, ML, and Data Science in the context of cybersecurity
  • Evolution of AI in cybersecurity: History, present, and future
  • Benefits and challenges of using AI in cybersecurity

Activity: Group discussion on known AI-based cybersecurity tools and technologies

Duration: 1.5 hours

  • Types of machine learning: Supervised, unsupervised, and reinforcement learning
  • Key algorithms used in cybersecurity: Classification, clustering, anomaly detection
  • Overview of natural language processing (NLP) for threat intelligence

Activity: Short quiz to reinforce AI/ML concepts

Duration: 2 hours

  • AI for intrusion detection and prevention (IDS/IPS)
  • Leveraging machine learning for real-time threat detection
  • Understanding anomaly detection vs. behavioral analysis
  • Case studies: AI for threat hunting

Hands-On Exercise: Setting up a basic machine learning model for anomaly detection in a network dataset

Duration: 1.5 hours

  • AI in endpoint protection and response (EPP & EDR)
  • Predictive modeling for malware detection
  • Automated responses and AI in SOAR (Security Orchestration, Automation, and Response)
  • Case study on using AI for phishing detection

Activity: Interactive group discussion on key AI tools used in the industry (e.g., Darktrace, CrowdStrike)

Duration: 1 hour

  • Data privacy and ethical concerns in AI
  • Common issues: Data quality, labeling, and false positives
  • Resource and skill requirements
  • Discussing real-world limitations of AI in cybersecurity

Activity: Group exercise on identifying potential biases and ethical issues in AI applications

Day 2: Advanced Applications and
Future Directions

Duration: 1.5 hours

  • AI in threat intelligence: Gathering and analyzing threat data
  • Predictive risk modeling for proactive security measures
  • AI-driven vulnerability management and patch prioritization

Hands-On Exercise: Basic NLP implementation for extracting threat intelligence from text data

Duration: 2 hours

  • Deep learning techniques for cybersecurity
  • Graph-based algorithms for threat mapping and analysis
  • Case study on advanced ML techniques for detecting insider threats

Hands-On Exercise: Experimenting with a pre-trained deep learning model for image or log data anomaly detection

Duration: 1.5 hours

  • Understanding adversarial attacks on AI models
  • Techniques like evasion, poisoning, and model inversion
  • Defense mechanisms and how to secure AI models
  • Case study on adversarial AI in phishing and malware evasion

Hands-On Exercise: Experimenting with a pre-trained deep learning model for image or log data anomaly detection

Duration: 1 hour

  • Emerging trends: Explainable AI, self-learning systems, AI in zero-trust
  • Role of AI in compliance and regulatory environments
  • Prospective advancements and skills required in AI for cybersecurity

Activity: Roundtable discussion on how AI might transform the cybersecurity landscape in the next decade

PRICING

AI in Cybersecurity

Live Training
₹9999 1999 +GST
  • Live session of AI in Cybersecurity
  • Hands-on Excercises
  • Session Recording
  • COUPON CODE = AIEARLY

AI in Cybersecurity

Live Training with Recording
₹12999 2999 +GST
  • Live session of AI in Cybersecurity
  • Hands-on Excercises
  • Session Recording access for 1 year
  • COUPON CODE = AIREC

pricing

AI In Cybersecurity

Live Training
₹9999 1999 +GST
  • Live session of AI in Cybersecurity
  • Hands-on Excercises
  • Session Recording

AI In Cybersecurity

Live Training with Recording
₹12999 2999 +GST
  • Live session of AI in Cybersecurity
  • Hands-on Excercises
  • Session Recording access for 1 year

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