Announcement

CyberRisk Alliance and OWASP Join Forces to Advance Application Security and AI Education Across the Cyber Ecosystem

New Strategic Partnership with OWASP and the OWASP Gen AI Security Project Includes Joint Content, Events, and Research Initiatives NEW YORK, NY, UNITED STATES, June 26, 2025 /EINPresswire.com/ — CyberRisk Alliance (CRA), a business intelligence company serving the cybersecurity ecosystem, today announced a new strategic partnership with the Open Worldwide Application Security Project (OWASP Foundation), […]

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Announcement

OWASP Gen AI Security Project Announces Nine New Sponsors and Major RSA Conference Presence to Advance Generative AI Security

WILMINGTON, Del., April 17, 2025 — The Open Worldwide Application Security Project’s (OWASP) flagship Generative AI Security Project (https://genai.owasp.org) today announced the addition of nine new sponsors, signaling continued momentum and investment in advancing the state of security for generative AI technologies. The new sponsors—Acuvity, ActiveFence, ByteDance, Cobalt, Protecto, SplxAI, Trend Micro, Troj.AI and Unbound Security—represent a

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Announcement

OWASP Top 10 for LLM is now the GenAI Security Project and promoted to OWASP Flagship status

WILMINGTON, Del. — March 27, 2025 — The Open Worldwide Application Security Project (OWASP) announced today that its OWASP Top 10 for LLM and Generative AI List has become The OWASP Gen AI Security Project. The name change reflects the popularity of the initial Top 10 List and the recognition of the project’s expanded focus.

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Announcement, Initiatives

Research Initiative – Securing and Scrutinizing LLMS in Exploit Generation

Challenge Currently limited actionable data exists in understanding how different LLMS are being leveraged in exploit generation, and what mechanisms can be used to detect and assess exploits to develop mitigations and guardrails. Initiative Overview This initiative aims to explore the capabilities and risks associated with generating day-one vulnerabilities’ exploits using various Large Language Models

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