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.

By the end of this cohort, you will be able to:

- Exploit vulnerabilities in live AI applications to achieve code and command execution, uncovering scenarios such as prompt injections, exploiting agent designs, and remote code execution for infrastructure takeover.

- Conduct AI red-teaming using adversary simulation, OWASP LLM Top 10, and MITRE ATLAS frameworks.

- Perform advanced AI red and blue teaming through multi-agent auto-prompting attacks, implementing a 3-way autonomous system consisting of attack, defend and judge models.

- Build and deploy enterprise-grade LLM defenses, including custom guardrails for input/output protection, security bench-marking, and penetration testing of LLM agents.

- Perform threat modeling on Agentic applications and services to discover security & design weakness.

- Establish a comprehensive AI SecOps process to secure the supply chain from adversarial attacks and create a robust threat model for enterprise applications.