Agentic AI represents an advancement in autonomous systems, increasingly enabled by large language models (LLMs) and generative AI. While agentic AI predates modern LLMs, their integration with generative AI has significantly expanded their scale, capabilities, and associated risks. This document is the first in a series of guides from the OWASP Agentic Security Initiative (ASI) […]
Agentic AI – Threats and Mitigations Read Post »
The rapid proliferation of Large Language Models (LLMs) across various industries has highlighted the critical need for advanced data security practices. As these AI systems become more sophisticated, they bring with them unprecedented risks, including potential breaches of sensitive information and challenges in meeting stringent data protection regulations. This white paper outlines a comprehensive set
LLM and Gen AI Data Security Best Practices Read Post »
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 »
Excerpted from the AI Security Solutions Landscape guide for Q1, 2025, This includes the LLM & Gen AI Security Solutions Cheat Sheet as well as the Cheat Sheet for outlining the LLM and Gen AI Sec Ops, stages and actions.
Download the full document at https://genai.owasp.org/ai-security-solutions-landscape/
AI Security Solution Cheat Sheet 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 »
This session will discuss the impact the The OWASP Top 10 for LLM project has had through working with standards, and additional resources OWASP.org provides through the AI Exchange. Speaker(s): Aruneesh Salhotra
OWASP AI Summit @ RSAC 2024 – AI Exchange Read Post »
