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Penetration Testing & Security AnalysisWeb App & API Pentesting Identify vulnerabilities in web applications and APIs Mobile Apps Pentesting Security testing for iOS and Android applications Cloud Pentesting Assess cloud infrastructure and configurations Network Pentesting Internal and external network security assessment AI/LLM Pentesting Security testing for AI and language models Web 3.0 & Smart Contracts Blockchain and smart contract security audits Cyber Investigation Digital forensics and incident investigation Pentesting-as-a-Service Continuous security testing for Agile teamsTechnical AuditsTechnical Due Diligence In-depth technology assessment for investors Architecture & Infrastructure Review Evaluate system design and infrastructure Code & Technology Assessment Code quality, tech stack, and best practices review Scalability & Enterprise Readiness Assess readiness for growth and enterprise adoption Hosting Costs Optimisation Reduce cloud and hosting spend AI Integration Audit Review AI/ML implementation and risksCompliance Audits
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Security Testing Training
Our core principle: you cannot build secure systems if you don't understand how they are broken.
This corporate training combines real-world attack scenarios, hands-on labs, and AI-assisted techniques to help your tech team develop practical offensive security skills.
request training detailsWho is this training designed for?
What you will learn
Practical penetration testing and secure development skills:
Secure Development & Architecture
- Integrating security into SDLC
- Secure architecture principles
- Risk assessment and risk registers
Web Application Security
- OWASP Top 10 vulnerabilities
- Injection, XSS, CSRF, SSRF, XXE
- Broken authentication & authorization
- Security misconfigurations
Penetration Testing Methodology
- OWASP-based testing approach
- Identifying attack surfaces
- Exploit development and chaining
Tools, Automation & AI
- Burp Suite, Nmap, Metasploit, Kali Linux
- Proxying and traffic analysis
- Using AI to accelerate vulnerability discovery, analyse code and identify weaknesses, generate attack scenarios and payloads
Testing AI Systems
- Identifying risks in AI-driven applications
- Prompt injection and abuse scenarios
- Data leakage and model misuse risks
- Security considerations for LLM-based systems
Risk & Reporting
- Evaluating business impact
- Prioritising vulnerabilities
- Communicating findings clearly
Training format
- 2–3 day intensive programme
- Online delivery
- Balanced mix of theory and practice
- Lectures + practical labs
- ~6 hours theory
- ~10 hours hands-on exercises
Team-based challenge: Participants take part in a practical "capture the flag" style exercise, applying their skills to find vulnerabilities in realistic systems.
Flexible delivery: Remote (Teams, Zoom or other platform). Up to ~10 participants per group.
Our approach: offensive mindset + modern techniques
- Learn how attackers actually think
- Combine manual techniques with AI-assisted testing
- Apply knowledge immediately in practice
- Understand how both traditional systems and AI systems are attacked
We teach not only how to find vulnerabilities — but how to adapt to modern attack surfaces, including AI-driven systems.
Outcomes: what participants will gain
After the training, participants will be able to:
- Integrate security into the development lifecycle (SDLC)
- Identify and exploit common vulnerabilities
- Perform basic penetration testing independently
- Use both manual and AI-assisted techniques
- Understand and test AI-related security risks
- Assess and prioritise security risks
Trainer
Denis Koloshko — practising pentester, certified security expert: CISSP (Certified Information Systems Security Professional), OSWE (Offensive Security Web Expert), CPSA (CREST Practitioner Security Analyst). Over 20 years of experience in the development of scalable, high-load web systems with high security requirements.
