Whitepapers
This guide outlines the critical components of GenAI Red Teaming, with actionable insights for cybersecurity professionals, AI/ML engineers, Red Team practitioners, risk managers, adversarial attack researchers, CISOs, architecture teams, and business leaders. The guide emphasizes a holistic approach to Red Teaming in four areas: model evaluation, implementation testing, infrastructure assessment, and runtime behavior analysis.
GenAI Red Teaming Guide Read Post »
Updated for Q1, 2025 – The LLM and Generative AI Security Solutions Landscape is tailored for a diverse audience comprising developers, AppSec professionals, DevSecOps and MLSecOps teams, data engineers, data scientists, CISOs, and security leaders who are focused on developing strategies to secure Large Language Models (LLMs) and Generative AI applications. It provides a reference
LLM and Generative AI Security Solutions Landscape – Q1,2025 Read Post »
The OWASP Top 10 for Large Language Model Applications started in 2023 as a community-driven effort to highlight and address security issues specific to AI applications. Since then, the technology has continued to spread across industries and applications, and so have the associated risks. As LLMs are embedded more deeply in everything from customer interactions to internal operations, developers and security professionals are discovering new vulnerabilities—and ways to counter them.
OWASP Top 10 for LLM Applications 2025 Read Post »
The LLM and Generative AI Security Solutions Landscape is tailored for a diverse audience comprising developers, AppSec professionals, DevSecOps and MLSecOps teams, data engineers, data scientists, CISOs, and security leaders who are focused on developing strategies to secure Large Language Models (LLMs) and Generative AI applications. It provides a reference guide of the solutions available
LLM and Generative AI Security Solutions Landscape Read Post »
As generative AI technologies evolve and integrate into various aspects of business and society, the need for robust governance, security, and policy management becomes paramount. Establishing a Center of Excellence (COE) for Generative AI Security aims to bring together diverse groups such as security, legal, data science, operations, and end-users to foster collaboration, develop best
LLM and Generative AI Security Center of Excellence Guide Read Post »
Deepfakes—hyper-realistic digital forgeries—have gained significant attention as the rapid development of generative AI has made it easier to produce convincingly realistic videos and audio recordings that can deceive even the most discerning viewers. While deepfakes are a powerful tool for social engineering, cybersecurity professionals do not need to turn to new detection technologies or intensive
Guide for Preparing and Responding to Deepfake Events Read Post »
Release 1.1 of the OWASP Top 10 for LLMs and Generative AI Deutsch Translation
LLM Top 10 for LLMs 2024 – Deutsch Read Post »
Release 1.1 of the OWASP Top 10 for LLMs and Generative AI Italian Translation
LLM Top 10 for LLMs 2024 – Italian Read Post »
The OWASP Top 10 for LLM Applications Cybersecurity and Governance Checklist is for leaders across executive, tech, cybersecurity, privacy, compliance, and legal areas, DevSecOps, MLSecOps, and Cybersecurity teams and defenders. It is intended for people who are striving to stay ahead in the fast-moving AI world, aiming not just to leverage AI for corporate success
LLM Applications Cybersecurity and Governance Checklist 1.0 – French Read Post »
The OWASP Top 10 for LLM Applications Cybersecurity and Governance Checklist is for leaders across executive, tech, cybersecurity, privacy, compliance, and legal areas, DevSecOps, MLSecOps, and Cybersecurity teams and defenders. It is intended for people who are striving to stay ahead in the fast-moving AI world, aiming not just to leverage AI for corporate success
LLM Applications Cybersecurity and Governance Checklist 1.1 – Japanese Read Post »