Security / Technical Security

Offensive AI — How Attackers Leverage Artificial Intelligence

Advanced training on offensive AI use in cyberattacks. The program covers AI-powered phishing and spear phishing, deepfakes in social engineering, automated vulnerability discovery using LLMs, AI-assisted reconnaissance, and defense methods against AI-augmented attacks.

Why choose this training?

Artificial intelligence is fundamentally changing the cyber threat landscape. Attackers use LLMs to generate perfect phishing messages, deepfakes to impersonate CEOs in video calls, and ML models to automatically discover vulnerabilities and evade detection. This is not the future — this is the reality of 2026, and most security teams are not prepared for it.

This two-day training reveals the full spectrum of offensive AI: from AI-powered phishing and deepfakes, through AI-assisted reconnaissance and automated vulnerability discovery, to evasion techniques leveraging machine learning. Each module combines attacker technique demonstrations with practical defense methods, enabling participants to build a multi-layered protection strategy against AI threats.

What you will learn

You will learn next-generation AI-powered phishing techniques — how attackers use LLMs to create personalized messages, clone voices, and generate deepfakes in BEC attacks. You will understand the scale of the threat and learn to build identity verification procedures resistant to deepfakes.

You will gain knowledge of AI-assisted reconnaissance — how language models automate OSINT, map attack surfaces, and generate actionable intelligence. You will learn to minimize your organization’s footprint and make it harder for attackers to gather information.

You will analyze the use of LLMs in automated vulnerability discovery — from code review to exploit generation and intelligent fuzzing. You will understand the capabilities and limitations of AI in offensive security testing.

You will explore advanced AI-augmented evasion techniques — bypassing EDR, generating payloads that evade detection, adaptive C2 protocols. This knowledge is essential for designing detection systems resistant to AI-driven evasion.

You will develop a defense strategy against offensive AI — from detecting AI-generated content to updating security policies and training employees to recognize AI-powered attacks.

Benefits

Participants will identify and analyze offensive applications of AI in cyberattacks
Participants will recognize AI-powered phishing, deepfake and voice cloning attacks
Participants will assess the risks of AI-assisted reconnaissance and automated vulnerability discovery
Participants will apply techniques for detecting deepfakes and AI-generated content
Participants will design defense mechanisms against AI-assisted attacks
Participants will update security policies and procedures to address AI threats
Participants will prepare their organization for the growing threat of offensive AI

Who is this training for?

Cybersecurity specialists responsible for protection against advanced threats

Penetration testers who want to understand offensive applications of AI

SOC analysts preparing for AI-powered attacks

CISOs and security managers assessing new threat vectors

Security engineers designing defense mechanisms against AI

Cybersecurity consultants updating their knowledge of trends

Prerequisites

Knowledge of cybersecurity fundamentals (attacks, detection, response)
Basic knowledge of artificial intelligence and machine learning
Experience working in an IT security team
Familiarity with common attack vectors (phishing, social engineering)

Training program

Generating personalized phishing messages using LLMs
Automated analysis of victims' social media profiles
AI-driven voice cloning and vishing — voice cloning in phone attacks
Bypassing anti-spam filters with generative AI
Scale and automation — from one-off attacks to mass campaigns
Case studies of real AI-powered phishing attacks (2024-2026)

Deepfake technology — how generative models work (GAN, diffusion)
Deepfake video in BEC (Business Email Compromise) attacks — real incidents
Real-time voice cloning — attackers' tools and techniques
Deepfakes in market manipulation and corporate disinformation
Deepfake detection — tools, artifacts and verification methods
Building deepfake-resistant identity verification procedures

Using LLMs to automatically analyze publicly available information
AI-powered asset discovery and attack surface mapping
Automated data extraction from documents and metadata
Analyzing relationships between people and organizations with graph AI
Generating reconnaissance reports with LLMs — from data to actionable intelligence
Defending against AI-assisted reconnaissance — minimizing your footprint

LLM-assisted code review — finding vulnerabilities in source code
Automated exploit generation using AI
Machine learning-assisted fuzzing — intelligent input generation
AI in web vulnerability discovery — SQL injection, XSS, SSRF
Limitations and pitfalls of AI in offensive security testing
Ethical aspects of using AI in pentesting and red teaming

AI-driven evasion — bypassing EDR and detection systems with ML
Automated generation of payloads that evade signature-based detection
AI in command and control — adaptive C2 protocols
Machine learning in privilege escalation — automated path discovery
AI-powered exfiltration — intelligently concealing data leaks
Overview of publicly available offensive AI tools

AI vs AI — using ML to detect AI-assisted attacks
Building layered defenses against deepfakes and AI phishing
Detecting AI-generated content — watermarking and statistical analysis
Updating security policies to cover AI threats
Training employees to recognize AI-powered attacks
Preparing the organization for the era of offensive AI — roadmap

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

Is this training suitable for my experience level?

This training is designed for professionals with foundational cybersecurity knowledge. The practical exercises are calibrated to the stated level, and our instructors adapt the pace to the group. If you meet the prerequisites listed, you will benefit fully from the program.

What tools and environments are used in practical exercises?

We use industry-standard tools in a prepared lab environment with realistic scenarios. All exercises are conducted in isolated environments — participants do not need to install anything on their work computers. Detailed tool lists are provided in the program sections above.

Will I receive materials after the training?

Yes — all participants receive comprehensive training materials including slides, lab guides, checklists, and reference materials. You also receive a certificate of completion from EITT. Materials are available in digital format for future reference.

Why choose EITT for this cybersecurity training?

EITT has more than 2,500 trainings in its catalog, including extensive cybersecurity programs. Our trainings are led by practitioners with real-world experience. The program combines theory with intensive hands-on exercises, enabling participants to immediately apply their skills.