Collaborative partnerships with government agencies, academic institutions, industry organizations, and enterprises to advance AI security globally.
PPP Institute operates through strategic partnerships that extend our research capabilities, amplify our standards impact, and accelerate the adoption of AI security best practices across industries, governments, and academia.
ACTIVE PARTNERSPublications
Joint Research
Open Standards
Government
Collaborative partnership on AI risk management framework development, joint research on autonomous system security, and standards crosswalk initiatives.
Joint research on AI RMF implementation guidance and agent security controls. Co-authored 3 technical publications.
Partner since 2023
Industry
Joint development of the LLM AI Security Top 10, shared threat intelligence, and collaborative training program development.
Co-developed OWASP LLM Top 10 2025 edition. Joint training curriculum on LLM application security.
Partner since 2022
Academic
Research collaboration on AI alignment, safety, and governance with joint faculty appointments and shared research infrastructure.
Joint research on multi-agent safety. 2 shared Ph.D. students. Co-authored 5 peer-reviewed papers.
Partner since 2024
Industry
Partnership on open-source AI security tooling, model provenance standards, and community-driven security frameworks.
Joint development of open-source model provenance verification tools. Standards working group co-chair.
Partner since 2023
Academic
Collaborative research on formal verification of neural networks, adversarial robustness, and secure multi-party computation for AI.
Joint research on formal verification methods. Shared laboratory access. 3 co-authored publications.
Partner since 2024
Government
Standards development collaboration on ISO/IEC 42001 implementation guidance, audit methodologies, and crosswalk documentation.
Contributed to ISO/IEC 42001:2023 development. Co-authored implementation guidance document.
Partner since 2024
Corporate
Joint research programs addressing enterprise AI security challenges. Partners receive early access to research findings, framework previews, and dedicated advisory support.
Commitment: Annual contribution (negotiated)
Academic
Research partnerships with universities and research institutions focusing on fundamental AI security science. Includes shared graduate students, joint publications, and conference collaboration.
Commitment: Research agreement (3-year typical)
Industry
Research partnerships with universities and research institutions focusing on fundamental AI security science. Includes shared graduate students, joint publications, and conference collaboration.
Commitment: Research agreement (3-year typical)
Government
Research partnerships with universities and research institutions focusing on fundamental AI security science. Includes shared graduate students, joint publications, and conference collaboration.
Commitment: Research agreement (3-year typical)
Active
Since 2024
Joint research program developing formal verification methods for autonomous agent decision loops using temporal logic and symbolic execution.
Active
Since 2024
Collaborative initiative building a global, standardized database of AI security incidents with structured forensic detail and control mapping.
Active
Since 2024
Research initiative mapping AI governance requirements across jurisdictions to develop harmonized cross-border compliance frameworks.
In Development
Since 2024
Joint development of an open standard for cryptographically verifiable model provenance tracking across the AI supply chain.