Get Started

Tailored, three-stage learning journeys for CISOs, Security Practitioners, and Developers to navigate safe and secure adoption of Generative AI, one role at a time.

Choose your persona to explore the learning path most relevant to your responsibilities—and level of involvement in GenAI security.

Image to represent getting started journey - including foundation, insight? and deep dive resources

Introduction

Gain clarity on the biggest LLM vulnerabilities and where defenses fail. Understand attack classes like prompt injection, data poisoning, and jailbreaks. Use OWASP Top‑10 and case studies to build mental models for common failures and detection strategies.

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June

Creating an insecure agent is surprisingly easy. There are new tools and frameworks available that make creating AI Agents relatively simple. However, AI Agents are
As AI systems begin interacting with live tools and data via the Model Context Protocol (MCP), new security risks emerge that traditional approaches can’t fully

Comprehension

Connect threat modeling, detection pipelines, and security tooling across the AI lifecycle. Connect detection, red/blue teaming, and incident workflows across the GenAI pipeline. Use Solutions Landscapes to align tool selection, coverage, and monitoring for each lifecycle phase.

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June

Creating an insecure agent is surprisingly easy. There are new tools and frameworks available that make creating AI Agents relatively simple. However, AI Agents are
As AI systems begin interacting with live tools and data via the Model Context Protocol (MCP), new security risks emerge that traditional approaches can’t fully

Mastery

OWASP GenAI Security Project resources to enable you to run full red-team exercises, build repeatable playbooks, and mentor peers on secure GenAI operations. Lead operational security efforts. Run continuous adversarial campaigns, create reusable playbooks, and coach peers on response, helping institutionalize proactive GenAI defense programs.

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June

Creating an insecure agent is surprisingly easy. There are new tools and frameworks available that make creating AI Agents relatively simple. However, AI Agents are
As AI systems begin interacting with live tools and data via the Model Context Protocol (MCP), new security risks emerge that traditional approaches can’t fully

Introduction

Gain clarity on the biggest LLM vulnerabilities and where defenses fail. Understand attack classes like prompt injection, data poisoning, and jailbreaks. Use OWASP Top‑10 and case studies to build mental models for common failures and detection strategies.

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June

Creating an insecure agent is surprisingly easy. There are new tools and frameworks available that make creating AI Agents relatively simple. However, AI Agents are
As AI systems begin interacting with live tools and data via the Model Context Protocol (MCP), new security risks emerge that traditional approaches can’t fully

Introduction

Gain clarity on the biggest LLM vulnerabilities and where defenses fail. Understand attack classes like prompt injection, data poisoning, and jailbreaks. Use OWASP Top‑10 and case studies to build mental models for common failures and detection strategies.

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June

Creating an insecure agent is surprisingly easy. There are new tools and frameworks available that make creating AI Agents relatively simple. However, AI Agents are
As AI systems begin interacting with live tools and data via the Model Context Protocol (MCP), new security risks emerge that traditional approaches can’t fully
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getting-started