OWASP GenAI Security Project’s Post

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🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness

14 Comments

Tal Eliyahu

Enabling Secure Innovation | vCISO x 30 | Volunteer | Speaker | PE & VC Advisor

Great share! I’ve also shared it in the AI Security group on LinkedIn: https://www.linkedin.com/groups/14545517/ and Twitter: https://x.com/AISecHub

2 Reactions

Pillar Security

A big thank you for the recognition and for your important role within the community!

1 Reaction

Alex S.

AI/IT Consultant | Open-minded researcher | Author | Science, Tech, Biz | IT/AI

What's the biggest challenge in securing agentic AI systems now and in the future?

Gheorghe Radu

Project Manager at AttoSOFT, PMI-CPMAI™

Thanks for sharing.

Todd Rebner

Chief AI Officer

🤘

Sudeep Sahdeva

Great starting point for implementing AI solutions, will be ensuring the OWASP LLM risks are addressed with adequate security controls that also conform with the organisation’s.

Thomas Nüßler

Exploring the unknown and learning is a never ending fun, not an obligation.

Wichtiges Posting! Wir implementieren diesen Anzatz gerade bei AGAMX. 👍😊

Janaina C.

Michelle Mesquita

1 Reaction

RednBlue.io

Interesting work! Thanks for sharing!

Monica Reagor

Certified GRC Professional | Data Privacy Law & Cybersecurity Specialist | Diversity, Equity & Inclusion Advocate | Published Author | Motivational Speaker

Hanna Mosolygo Hussein Nassereddine

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Hanah-Marie Darley

Co-founder, Chief AI Officer | AI Adoption & Strategy
2w
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Building agentic AI responsibly means designing for intelligence and restraint in equal measure. Governance is what makes capability safe to scale. Fantastic resource from OWASP for any security leaders with GenAI or building/using Agentic Apps!
OWASP GenAI Security Project

20,451 followers
2w

🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness
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Valene Skerpac, CISSP, CISM, CCISO

Leading in cybersecurity | Information Security Senior Executive | Chief Information Security Officer CISO
2w
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Equip your teams with AI security solutions guidance beyond OWASP Top 10 LLM and Gen AI risks to effectively navigate the growing number of LLM and Gen AI security solutions. #aisecurity
OWASP GenAI Security Project

20,451 followers
2w

🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness
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HoundDog.ai

490 followers
2w
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We are excited to share that HoundDog.ai has been included in OWASP’s AI Security Solutions Landscape for Q3 2025. As teams build and experiment with AI, privacy cannot be an afterthought. In many environments, we consistently find AI integrations present in code repositories that were assumed to have none. Frameworks like LangChain often get introduced without privacy oversight. Our privacy code scanner helps privacy and security teams stay ahead of sensitive data handling risks in AI applications at the speed of development, before code is pushed to production and risky data flows lead to privacy issues. 🧭 Step 1: Discover AI and third party integrations including Shadow AI Track with high confidence the types of AI and third party integrations that developers have embedded in their code repositories as part of your AI governance and third party risk management efforts. 🔐 Step 2: Trace sensitive data flows Track over 100 sensitive data types including PII, PHI, CHD and authentication tokens. Follow them through transformations across file boundaries, no matter how deeply buried, down to risky sinks such as LLM prompts, logs, temporary files, local storage, and third party SDKs. ⚖️ Step 3: Bake in your privacy standards Apply allowlists to define which data types are permitted in LLM prompts and other risky sinks. Automatically block unsafe pull requests to maintain compliance with data processing agreements. 📑 Step 4: Build customer trust through transparent data handling Generate evidence based data maps that show where sensitive data is collected, processed, and shared, including AI and third party integrations. Produce audit ready Records of Processing Activities (RoPA) and Privacy Impact Assessments (PIA), pre-populated with detected data flows and risks aligned with GDPR, CCPA, HIPAA, and related frameworks. Try it free and get a local markdown report with your full data map and visualizations: 🔗 https://lnkd.in/ggz7wVCw #AI #Privacy #Security #DataProtection #AppSec #AICompliance #GenAI #GDPR #CCPA #HIPAA #DataMapping #ShiftLeft #OWASP #PrivacyByDesign
OWASP GenAI Security Project

20,451 followers
2w

🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness
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Paul Son

Cybersecurity VP & Board QTE | From Pentagon to Fortune 50 | vCISO Protecting $10B Revenue | CISSP, CISM | Veteran
1w
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Great roll up of current solutions. Hoping 'proprietary' will shift to sharing more details about their approach to different models: https://lnkd.in/e5YJRS35
OWASP GenAI Security Project

20,451 followers
2w

🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness
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Aasish Mathew

Senior Cyber Delivery Manager | Cybersecurity Delivery, Portfolio & Program Management
1w
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It extends the OWASP® Foundation Top 10 for #LLMs and the Agentic Risks and Mitigations Taxonomy by mapping identified risks to practical, open-source and commercial security solutions. The guide defines a structured LLMOps and LLMSecOps lifecycle, detailing security practices across stages such as planning, data handling, deployment, and monitoring. It introduces frameworks for Agentic AI systems, red teaming methodologies, and an evolving GenAI security solutions landscape, including innovations like LLM Firewalls, AI Security Posture Management (AI-SPM), and Guardrails. #GenAISecurity #AISecurity #LLMSecurity #AgenticAI #AIAgents
OWASP GenAI Security Project

20,451 followers
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🚀 Now Available: OWASP GenAI Security Project – Solutions Reference Guide (Q2/Q3’25 Edition) The OWASP GenAI Security Project is excited to announce the latest release of our Solutions Reference Guide, bringing together community-driven insights into securing Generative AI systems. This quarter’s edition features: 🔹 A comprehensive matrix mapping LLM and Agentic AI risks across the OWASP Top 10 for LLMs and Agentic Systems taxonomies 🔹 Detailed alignment with the GenAI SecOps lifecycle stages, providing visibility into risk coverage across build, deploy, and operate phases 🔹 Updated solution cheat sheets for both LLM and Agentic AI, designed to offer quick reference of available solution guidance for builders and defenders. 📅 Published quarterly, the guide is built from community submissions, ensuring it reflects the latest solutions, patterns, and best practices from real-world GenAI implementations. 💡 Whether you’re developing, deploying, or defending GenAI systems, this guide is your go-to reference for aligning controls, tools, and practices to secure AI responsibly. Download the Guide: 🔗https://lnkd.in/gKzruqUR Review and Submitt to the Online Directory (updated monthly): 🔗 https://lnkd.in/gzSEaFKK #OWASP #GenAISecurity #LLMSecurity #AgenticAI #AIsecurity #OWASPGenAI #CyberSecurity #AITrustworthiness
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