OWASP AI Vulnerability Scoring System (AIVSS)
This initiative kicks off with the critical development of a ** scoring system specifically for the Agentic AI Core Risks. This initial, high-impact deliverable will then expand into a comprehensive **Artificial Intelligence Vulnerability Scoring System (AIVSS) Framework Package. The broader project aims to provide a structured and quantifiable methodology to identify, assess, and mitigate vulnerabilities specific to all types of AI systems – not just Large Language Models (LLMs), Generative AI, or Agentic AI. The ultimate goal is a complete AIVSS Framework Package that serves as a baseline for understanding and managing AI security risks across the entire AI landscape.
🚀 Try the AIVSS Calculator Demo
Experience our interactive AIVSS calculator in action! Calculate vulnerability scores, understand security impacts, and generate detailed reports.

Key Deliverables
- AIVSS Scoring System For OWASP Agentic AI Core Security Risks
- A quantifiable scoring methodology tailored to the unique risks identified in the OWASP Agentic AI Core Risks.
- Rubrics and guidelines for assessing the severity and exploitability of these specific vulnerabilities.
- Comprehensive AIVSS Framework Package:
- Standardized AIVSS Framework: A scalable framework validated across a diverse range of AI applications, including and extending beyond Agentic AI.
- AIVSS Framework Guide: Detailed documentation explaining the metrics, scoring methodology, and application of the framework.
- AIVSS Scoring Calculator: An open-source tool to automate and standardize the vulnerability scoring process.
- AIVSS Assessment Report Templates: Standardized templates for documenting AI vulnerability assessments.
🚀 Get Involved: Sign Up as a Contributor
We welcome your expertise and enthusiasm!
To join the OWASP AIVSS project as a contributor, simply add your information to our public signup sheet and submit a pull request.
How to sign up:
- Open the contributors signup sheet using Google Doc with your information added
- Add your details as a new row in the table (see the example provided).
Example entry is provided in the signup sheet to help you get started.
We welcome contributors of all backgrounds and experience levels—OWASP membership is not required. If you’re new to GitHub or open source, feel free to ask for help—everyone is welcome!
Road Map
The following is the initial roadmap:
- AIVSS Scoring System For OWASP Agentic AI Core Security Risks(Months 1-3):
- Define core AIVSS metrics, with an initial focus on metrics directly applicable to scoring the OWASP Agentic AI Core Risks. Ensure clarity and precision.
- Develop initial scoring rubrics for these Agentic AI-focused metrics.
- AIVSS Framework Specialization & Expansion (Months 4-6):
- Develop specialized scoring rubrics for other specific AI system types (beyond Agentic AI).
- Identify factors unique to each AI type that influence vulnerability assessment.
- Create templates for AIVSS assessment reports, adaptable to different AI system types.
- AIVSS Scoring Calculator Development (Months 7-9):
- Develop the core functionality of the AIVSS scoring calculator, ensuring it supports core AIVSS metrics, and specialized rubrics.
- Implement the ability to add new AIVSS metrics and scoring rubrics.
- AIVSS Tool Testing and Refinement (Months 10-12):
- Test the AIVSS scoring calculator against a diverse set of AI systems (including Agentic AI test cases), generating assessment reports.
- Refine metrics, rubrics, and the calculator based on user feedback and assessment results.
- Documentation and Release (Month 12):
- Finalize the AIVSS Framework Guide (comprehensive, clear, easy to understand).
- Release the AIVSS Scoring Calculator as an open-source project.
- Publish AIVSS assessment report templates and example reports (including for Agentic AI) on the OWASP project website.
- Create detailed project documentation, including an integration guide for existing SDLCs.
Multi-Year Project Roadmap
- Year 2: Apply AIVSS to Financial and Healthcare Industries:
- Develop industry-specific guidelines for applying AIVSS to AI systems in finance and healthcare.
- Create case studies and assessment reports showcasing AIVSS application in these sectors.
- Collaborate with industry experts for validation and alignment with best practices.
- Year 2/3: Expand AIVSS for Emerging AI Threats:
- Continuously update the AIVSS framework to address new AI security threats, including further evolutions in Agentic AI vulnerabilities beyond the initial core risks.
- Develop new AIVSS metrics and scoring rubrics as needed.
- Year 3+: AIVSS Certification Program:
- Explore creating a certification program for professionals proficient in using the AIVSS framework to drive adoption and enhance AI security expertise.
Leadership & Founding Members
Project Leadership
Current Leaders
Ken Huang - Project Lead
Michael Bargury - Project Lead
Vineeth Sai Narajala - Project Lead
Bhavya Gupta - Project Lead
Founding Members
Names are listed alphabetically by last name.
The OWASP AIVSS project was established through the collaborative efforts of security experts and AI specialists who recognized the need for a standardized vulnerability scoring system for AI systems. We are grateful to the following founding members for their contributions:
Sunil Agrawal
Chief Information Security Officer
Glean
David Ames
Partner
PwC
Michael Bargury
Founder and CTO
Zenity
Joshua Beck
Application Security Architect
SAS
Manish Bhatt
Security Researcher
Amazon Kuiper Security
Mark Breitenbach
Security Engineer
Dropbox
Anat Bremler-Barr
Professor of Computer Science
Tel Aviv University
Siah Burke
HIPAA Security Officer
Siah.ai
David Campbell
AI Security
Scale AI
Ying-Jung Chen
AI safety researcher, PhD
Georgia Institute of Technology
Anton Chuvakin
Security Solution Strategy
Google
Jason Clinton
CISO
Anthorphic
Adam Dawson
Staff AI Security Researcher
Dreadnode
Ron F. Del Rosario
VP-Head of AI Security
SAP
Walker Lee Dimon
AI Security Researcher
MITRE
Marissa Dotter
AI Security Researcher
MITRE
Leon Derczynski
Principal Research Scientist
NVIDIA
Dan Goldberg
ISO Market Lead
Omnicom
David Haber
CEO
Lakera
Idan Habler
Staff AI/ML Security Researcher
Intuit
Jason Haddix
Founder
Arcanum Information Security
Keith Hoodlet
Director of AI/ML & AppSec
Trail of Bits
Ken Huang
AIVSS Project Lead
OWASP
Chris Hughes
CEO
Aquia
Charles Iheagwara
AI/ML Security Leader
AstraZeneca
Krystal Jackson
Researcher
Center for Long-Term Cybersecurity, UC Berkeley
Sushmitha Janapareddy
Director - Security Integrations
American Express
Rob Joyce
Former Cybersecurity Director of NSA, Advisor to PwC
PwC
Diana Kelley
CISO
Noma Security
Prashant Kulkarni
Lead AI Security Research Engineer
Google Cloud
Mahesh Lambe
Founder
MIT, Unify Dynamics
Edward Lee
Vice President, Lead AI Security
JP Morgan
Nate Lee
CEO
Cloudsec.ai
Vishwas Manral
CEO
Precize.ai
Daniela Muhaj
Executive-in-Residence for Research & Development
AI 2030
Om Narayan
AI Security Researcher
AWS
Vineeth Sai Narajala
Application Security
AWS
Advait Patel
Senior Site Reliability Engineer (DevSecOps \+ Cloud \+ AIOps)
Broadcom, IEEE
Alex Polyakov
CEO
adversa.ai
Ramesh Raskar
Professor & Director
MIT Media Lab
Tal Shapira
Co-Founder & CTO
Reco AI
Akram Sheriff
Senior AI/ML Software Engineering Leader
Cisco
Samantha Siau
Security and Compliance
Anthropic
Kevin Simmonds
Partner on AI Offensive Security
PWC
Martin Stanley
NIST AI RMF Lead
Independent
Omar A. Turner
General Manager of Security
Microsoft
Apostol Vassilev
AI Research Team Supervisor
NIST
Matthew Versaggi
AI Fellow
White House Presidential Innovation Fellow
David Webb
Agency Cybersecurity Officer
Cybersecurity and Infrastructure Security Agency
Dennis Xu
Research VP, AI
Gartner
Xiaochen Zhang
Executive Director and Chief Responsible AI Officer
AI 2030
Recognition
We extend our gratitude to all founding members who have contributed to establishing this crucial framework for AI security assessment. Their vision and dedication have been instrumental in shaping the AIVSS project.
Get Involved
Interested in contributing to the AIVSS project? We welcome new contributors and leaders. Please see our Contribution Guidelines for more information on how to get involved.
AIVSS Calculator Demo
Try the AIVSS Calculator
Experience the AIVSS scoring system in action with our interactive calculator. This demo allows you to:
- Calculate vulnerability scores for AI systems
- Understand the impact of different security factors
- Generate detailed reports based on your inputs
Announcements
AIVSS Kickoff Meeting Summary
Our Co-Leader of the Project, Ken Huang wrote a blog post about our kickoff meeting with the link to the video. OWASP AIVSS: The Kickoff Meeting
Publications
AIVSS Scoring System For OWASP Agentic AI Core Security Risks v0.5
Overview
This foundational document introduces the OWASP AI Vulnerability Scoring System (AIVSS), a standardized framework for assessing and quantifying security risks in AI systems, with a specific focus on agentic AI architectures. Version 0.5 represents the initial release of our comprehensive scoring methodology.
Key Features
- Standardized Risk Assessment: Provides a consistent methodology for evaluating AI vulnerability severity across different systems and contexts
- Agentic AI Focus: Tailored specifically for the unique challenges and risk vectors present in autonomous AI agents
- Industry Integration: Designed to complement existing security frameworks while addressing AI-specific vulnerabilities
- Practical Implementation: Includes actionable guidelines and scoring criteria for security professionals
What’s Inside
- Scoring Framework: Detailed methodology for calculating AIVSS scores based on multiple risk factors
- Risk Categories: Comprehensive coverage of AI-specific vulnerabilities including model manipulation, data poisoning, and agent misalignment
- Assessment Guidelines: Step-by-step instructions for conducting AIVSS evaluations
- Case Studies: Real-world examples demonstrating the application of AIVSS in various scenarios
- Integration Guidance: Best practices for incorporating AIVSS into existing security workflows
Target Audience
This document is designed for security professionals, AI developers, risk assessors, and organizations seeking to implement robust security measures for their AI systems, particularly those involving autonomous agents.
This publication is actively maintained by the OWASP AIVSS project team. For updates, contributions, or questions, please visit our project repository.
