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Master AI & LLM security through CTF-style cohort, tackling real-world attacks, defenses, adversarial threats, and Responsible AI principles

Hands-On AI Attack & Defense Cohort.

Abhinav Singh

International Trainer & Speaker, security researcher & consultant.

AI Security in Action: Hands-on cohort on Attacking & Defending AI apps & Agents

Data Scientist

AI Security Engineer

Senior Software Engineer

Security Analyst

Senior Security Engineer

AI Security

Security Researcher/Engineer

AI Sec

Chief Human Risk Management Strategist

Can prompt injections lead to complete infrastructure takeovers? Could AI applications be exploited to compromise backend services? Can data poisoning in AI copilots impact a company's stock? Can jailbreaks create false crisis alerts in security systems? This immersive, CTF-styled cohort in GenAI and LLM security dives into these pressing questions.Engage in realistic attack and defense scenarios focused on real-world threats, from prompt injection and remote code execution to backend compromise. Tackle hands-on challenges with actual AI applications to understand vulnerabilities and develop robust defenses. You’ll learn how to create a comprehensive security pipeline, mastering AI red and blue team strategies, building resilient defenses for LLMs, and handling incident response for AI-based threats. Additionally, implement a Responsible AI (RAI) program to enforce ethical AI standards across enterprise services, fortifying your organization’s AI security foundation.

Live, hands-on, CTF-style

Understand Injection Attacks and Jailbreaks on AI systems

Perform structured AI red teaming using industry frameworks

Execute and defend against adversarial & multi-agent attacks

Build and deploy LLM security tooling and enterprise-grade defenses

Operationalize AI SecOps, threat modeling, and incident response

CISOs &amp; Security practitioners looking to implement AI security best practices.

Security professionals seeking to update their skills for the AI era.

Red &amp; Blue team members.

Threat Modeling AI Applications & Agentic Systems

International Trainer & Speaker, Security Researcher & Consultant.

Explore prompt injections—their mechanics, impact, and why they matter in securing AI systems.

Understanding Common Threat Vectors

Differentiate between risks at the application layer and vulnerabilities within the model itself.

Application Vs Model level threats

Break down agentic systems to reveal where key security gaps and attack surfaces emerge.

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Courses

AI Security in Action: Hands-on cohort on Attacking & Defending AI apps & Agents

Lightning Lessons

Threat Modeling AI Applications & Agentic Systems