🚀 The Open Worldwide Application Security Project (OWASP) has published: Agentic Security Solutions Landscape For Agentic AI Q3 2025
This Cheat Sheet is a focused view on security solutions for agentic AI applications as part OWASP broader AI Security Landscape initiative.
The guide maps the Agentic DevOps–SecOps application lifecycle, defining roles, responsibilities, and security milestones for each stage, and aligning them to the OWASP Agentic Threats and Mitigations framework.
It catalogs both open-source and commercial solutions to help teams address risks end-to-end, from planning and development to deployment, operation, and governance.
The Agentic Landscape also complements the recently published Agentic AI Security resources, including:
✅ Agentic AI – Threats and Mitigations
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) to provide a threat-model-based reference of emerging agentic threats and discuss mitigations.
âś… Multi-Agentic System Threat Modeling Guide v1.0
This guide builds on the OWASP Agentic AI – Threats and Mitigations publication, our master agentic threat taxonomy, by applying its threat taxonomy to real-world multi-agent systems (MAS). These systems, characterized by multiple autonomous agents coordinating to achieve shared or distributed goals, introduce additional complexity and new attack surfaces.
âś… Securing Agentic Applications Guide 1.0
This guide aims to provide practical and actionable guidance for designing, developing, and deploying secure agentic applications powered by large language models (LLMs). It complements the OWASP Agentic AI Threats and Mitigations (ASI T&M) document by focusing on concrete technical recommendations that builders and defenders can apply directly.
âś… State of Agentic AI Security and Governance v1.0
This guide aims to provide practical and actionable guidance for designing, developing, and deploying secure agentic applications powered by large language models (LLMs). It complements the OWASP Agentic AI Threats and Mitigations (ASI T&M) document by focusing on concrete technical recommendations that builders and defenders can apply directly.
It will also directly inform the upcoming Top 10 Risks and Mitigations list for Agentic AI applications.
The Solutions Landscape monitors and maps the full Agentic AI lifecycle, focusing on the DevOps–SecOps intersection to meet evolving security needs. Guided by the Agentic AI Threats and Mitigations guide and SecOps tasks, it highlights open-source and commercial solutions by stage, identifying their coverage of Agentic SecOps duties and threat mitigation, and leverages industry and community input as a peer-reviewed resource for navigating agentic AI’s shifting security challenges. Updated Quarterly.
Download the full guide HERE
About Gen AI Security Project
Businesses, eager to harness the potential of LLMs and Generative AI are rapidly integrating them into their operations and client facing offerings. The OWASP Gen AI Security Project helps organizations and practitioners navigate the fast-changing generative AI landscape. With practical resources, risk strategies, and global collaboration, it enables confident innovation while reducing threats in LLMs, AI agents, and other generative AI technologies—fostering trust, compliance, and resilience.
The OWASP Generative AI Security Project supports those shaping, building, and securing generative AI systems—including CISOs, IT leaders, security teams, engineers, developers, and policymakers. It offers practical guidance and open-source tools to manage the evolving security challenges of LLMs and generative AI.
Learn more about the OWASP Gen AI Security Project and become a contributor HERE
link